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An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence

npj Digital Medicine - (Friday November 29, 2024) - AI/ Frequent Updates/ npj Digital Medicine

In this work we present OptAB, the first completely data-driven online-updateable antibiotic selection model based on Artificial Intelligence for Sepsis patients accounting for side-effects. OptAB performs an iterative optimal antibiotic selection for real-world Sepsis...

🚀 Exciting advancements in sepsis management! The introduction of OptAB, an AI-driven antibiotic selection framework, marks a significant leap in optimizing treatment for sepsis patients. By focusing on minimizing the SOFA score while accounting for nephrotoxicity and hepatotoxicity, OptAB enhances decision-making in real-time. This innovative model can handle irregular patient data and missing values, providing tailored treatment recommendations that could lead to faster recovery and reduced side effects.#HealthcareIT #ArtificialIntelligence #SepsisManagement #ClinicalDecisionSupport #PredictiveAnalytics #DigitalHealth #MachineLearning

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYtxJieKF6K5Qz9Pz1npROoc2DpFR", "object": "chat.completion", "created": 1732881609, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting advancements in sepsis management! The introduction of OptAB, an AI-driven antibiotic selection framework, marks a significant leap in optimizing treatment for sepsis patients. By focusing on minimizing the SOFA score while accounting for nephrotoxicity and hepatotoxicity, OptAB enhances decision-making in real-time. This innovative model can handle irregular patient data and missing values, providing tailored treatment recommendations that could lead to faster recovery and reduced side effects. nn#HealthcareIT #ArtificialIntelligence #SepsisManagement #ClinicalDecisionSupport #PredictiveAnalytics #DigitalHealth #MachineLearning", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 34247, "completion_tokens": 117, "total_tokens": 34364, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 34247
Completion Tokens - 117
Total Tokens - 34364

 

NHS national image-sharing platform hits ‘record usage’

Digital Health - (Friday November 29, 2024) - Digital Health/ Frequent Updates

A national image sharing platform used by NHS organisations, patients and independent service providers is now being used to share as many as 500 images per second, according to technology supplier Sectra. The Image Exchange...

The NHS Image Exchange Portal (IEP) has achieved record usage, facilitating the sharing of up to 500 images per second. Originally designed for radiology, the platform now supports a wider range of imaging modalities, addressing the increasing diagnostic demands of the healthcare system. With over 450,000 users and nearly 12 million patient studies transmitted in 2023, the IEP is pivotal in tackling diagnostic backlogs. As patient expectations rise for access to their imaging data, the IEP's secure and efficient platform is essential for modern healthcare. #HealthcareIT #NHS #DigitalHealth #MedicalImaging #PatientAccess #HealthTech #Innovation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYsKa1PE7wdNXz3Dyr8LMEIZcxRth", "object": "chat.completion", "created": 1732875364, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The NHS Image Exchange Portal (IEP) has achieved record usage, facilitating the sharing of up to 500 images per second. Originally designed for radiology, the platform now supports a wider range of imaging modalities, addressing the increasing diagnostic demands of the healthcare system. With over 450,000 users and nearly 12 million patient studies transmitted in 2023, the IEP is pivotal in tackling diagnostic backlogs. As patient expectations rise for access to their imaging data, the IEP's secure and efficient platform is essential for modern healthcare. #HealthcareIT #NHS #DigitalHealth #MedicalImaging #PatientAccess #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 687, "completion_tokens": 130, "total_tokens": 817, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 687
Completion Tokens - 130
Total Tokens - 817

 

Natural language processing in mixed-methods evaluation of a digital sleep-alcohol intervention for young adults

npj Digital Medicine - (Friday November 29, 2024) - Frequent Updates/ npj Digital Medicine

We used natural language processing (NLP) in convergent mixed methods to evaluate young adults’ experiences with Call it a Night (CIAN), a digital personalized feedback and coaching sleep-alcohol intervention. Young adults with heavy drinking...

Unlocking insights through Natural Language Processing (NLP) has transformed the evaluation of digital interventions like "Call it a Night" (CIAN) for young adults facing sleep and alcohol challenges. In a recent study, NLP was utilized in a mixed-methods approach to analyze participant experiences, revealing that 72% preferred coaching over traditional advice. This highlights the importance of personalized feedback in enhancing intervention effectiveness. As healthcare IT professionals, we must leverage such innovative technologies to improve patient outcomes and engagement.#DigitalHealth #HealthTech #NLP #MachineLearning #PatientEngagement #BehavioralHealth #InnovationInHealthcare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYoxYht8O17zPfXUD4vWHUdgyEwuE", "object": "chat.completion", "created": 1732862404, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking insights through Natural Language Processing (NLP) has transformed the evaluation of digital interventions like "Call it a Night" (CIAN) for young adults facing sleep and alcohol challenges. In a recent study, NLP was utilized in a mixed-methods approach to analyze participant experiences, revealing that 72% preferred coaching over traditional advice. This highlights the importance of personalized feedback in enhancing intervention effectiveness. As healthcare IT professionals, we must leverage such innovative technologies to improve patient outcomes and engagement. nn#DigitalHealth #HealthTech #NLP #MachineLearning #PatientEngagement #BehavioralHealth #InnovationInHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11897, "completion_tokens": 123, "total_tokens": 12020, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 11897
Completion Tokens - 123
Total Tokens - 12020

 

510(k) for South Korean medical imaging AI and more briefs

MobiHealthNews - (Friday November 29, 2024) - Frequent Updates/ MobiHealthNews

South Korean medical imaging AI company Neurophet has received second clearance for its brain image analysis software in the United States.It obtained another 510(k) from the US Food and Drug Administration for the latest...

Exciting advancements in South Korean medical imaging AI! Neurophet has secured a second FDA 510(k) clearance for its brain image analysis software, enhancing its capabilities for multiple sclerosis detection. Meanwhile, Vuno's ECG analysis software for hyperkalemia has gained regulatory approval, marking a significant step in cardiac health monitoring. Lunit is also making strides with a supply agreement in Mexico, allowing access to a vast database for refining its AI solutions. These developments highlight the dynamic growth of AI in healthcare, promising improved diagnostics and patient outcomes.#HealthcareIT #MedicalAI #DigitalHealth #Innovation #RegulatoryApproval #Neurotechnology #Cardiology

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 458
Completion Tokens - 130
Total Tokens - 588

 

Semi automatic quantification of REM sleep without atonia in natural sleep environment

npj Digital Medicine - (Friday November 29, 2024) - AI/ Frequent Updates/ npj Digital Medicine

Polysomnography, the gold standard diagnostic tool in sleep medicine, is performed in an artificial environment. This might alter sleep and may not accurately reflect typical sleep patterns. While macro-structures are sensitive to environmental effects,...

Exciting advancements in sleep medicine! A recent study introduces a semi-automated algorithm for quantifying REM sleep without atonia (RSWA) in natural sleep environments. By analyzing data from 107 recordings, researchers achieved an impressive 83% sensitivity in detecting REM sleep behavior disorder (RBD). This innovative approach could revolutionize sleep testing, making it more accessible and reflective of typical sleep patterns. The findings highlight the stability of micro-structures like RSWA, paving the way for better home-based assessments.#SleepMedicine #HealthcareIT #DigitalHealth #REM #Neuroscience #WearableTech #SleepResearch

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYhT6Yf0nv5Udb8kM0LXkTDFgs8Dt", "object": "chat.completion", "created": 1732833608, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in sleep medicine! A recent study introduces a semi-automated algorithm for quantifying REM sleep without atonia (RSWA) in natural sleep environments. By analyzing data from 107 recordings, researchers achieved an impressive 83% sensitivity in detecting REM sleep behavior disorder (RBD). This innovative approach could revolutionize sleep testing, making it more accessible and reflective of typical sleep patterns. The findings highlight the stability of micro-structures like RSWA, paving the way for better home-based assessments. nn#SleepMedicine #HealthcareIT #DigitalHealth #REM #Neuroscience #WearableTech #SleepResearch", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28360, "completion_tokens": 125, "total_tokens": 28485, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 28360
Completion Tokens - 125
Total Tokens - 28485

 

NHSE chief nurse Duncan Burton to deliver Rewired 2025 keynote

Digital Health - (Thursday November 28, 2024) - Digital Health/ Frequent Updates

England’s most senior nurse, Duncan Burton, is the latest high-profile NHS keynote to join the Digital Health Rewired 2025 speaker line-up.   The chief nursing officer for NHS England will speak at Rewired at the NEC...

Exciting news for healthcare IT professionals! Duncan Burton, NHS England's chief nursing officer, will keynote the Digital Health Rewired 2025 event, addressing the pivotal role of digital transformation in nursing. With insights from Lord Darzi's review highlighting a digital skills gap, Burton's leadership is crucial for empowering the nursing workforce in adapting to new technologies. Join him and other esteemed leaders at the Digital Nursing Summit to explore innovative solutions and case studies that enhance patient care. Let’s drive the future of digital health together!#DigitalHealth #NursingLeadership #HealthTech #NHS #DigitalTransformation #HealthcareInnovation #Rewired2025

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYaqiGB04eD2vyQqQQ5yOSB5Mb88s", "object": "chat.completion", "created": 1732808164, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news for healthcare IT professionals! Duncan Burton, NHS England's chief nursing officer, will keynote the Digital Health Rewired 2025 event, addressing the pivotal role of digital transformation in nursing. With insights from Lord Darzi's review highlighting a digital skills gap, Burton's leadership is crucial for empowering the nursing workforce in adapting to new technologies. Join him and other esteemed leaders at the Digital Nursing Summit to explore innovative solutions and case studies that enhance patient care. Let’s drive the future of digital health together! nn#DigitalHealth #NursingLeadership #HealthTech #NHS #DigitalTransformation #HealthcareInnovation #Rewired2025", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 709, "completion_tokens": 128, "total_tokens": 837, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 709
Completion Tokens - 128
Total Tokens - 837

 

Could virtual hospitals be the solution to the broken NHS?

Digital Health - (Thursday November 28, 2024) - Digital Health/ Frequent Updates

Wider development and roll out of virtual hospitals could move us away from trust silos, easing regional variations to create a transformed national service, writes Paul Grant digital health consultant and the author of...

Could virtual hospitals be the key to transforming the NHS? By leveraging digital technologies, virtual hospitals offer innovative care pathways that prioritize remote patient management and accessibility. They can reduce the burden on physical facilities, improve patient convenience, and potentially lower costs. However, challenges like clinical safety, digital exclusion, and maintaining the doctor-patient relationship must be addressed. As we embrace this digital shift, a national virtual hospital could unify services, enhance resource distribution, and drive true clinical-digital transformation across the healthcare system.#VirtualHospitals #DigitalHealth #NHS #Telemedicine #HealthcareInnovation #HealthTech #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYYEUy3jCCiRlmnes2WW3eS9GzuRf", "object": "chat.completion", "created": 1732798106, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Could virtual hospitals be the key to transforming the NHS? By leveraging digital technologies, virtual hospitals offer innovative care pathways that prioritize remote patient management and accessibility. They can reduce the burden on physical facilities, improve patient convenience, and potentially lower costs. However, challenges like clinical safety, digital exclusion, and maintaining the doctor-patient relationship must be addressed. As we embrace this digital shift, a national virtual hospital could unify services, enhance resource distribution, and drive true clinical-digital transformation across the healthcare system. nn#VirtualHospitals #DigitalHealth #NHS #Telemedicine #HealthcareInnovation #HealthTech #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1135, "completion_tokens": 123, "total_tokens": 1258, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 1135
Completion Tokens - 123
Total Tokens - 1258

 

Humber and North Yorkshire ICB signs N3i to digitise primary care

Digital Health - (Thursday November 28, 2024) - Digital Health/ Frequent Updates

NHS Humber and North Yorkshire Integrated Care Board (ICB) has signed technology firm N3i to help support the digital transformation of its primary care services. It has signed a five-year contract, running from 1 April...

Exciting developments in healthcare IT! The NHS Humber and North Yorkshire ICB has partnered with N3i to drive the digital transformation of primary care through a five-year contract valued between £22.7 million and £33.8 million. This collaboration aims to enhance service delivery, ensuring 24/7 support and a focus on innovation and resilience. With a strong track record, N3i is set to optimize clinical systems and implement modern GP IT services, ultimately improving patient outcomes across the region. This partnership underscores the critical role of technology in the future of healthcare.#HealthcareIT #DigitalTransformation #NHS #PrimaryCare #Innovation #HealthTech #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYYE9jW6qVM5kHWU6ZfprbK9lAFOG", "object": "chat.completion", "created": 1732798085, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare IT! The NHS Humber and North Yorkshire ICB has partnered with N3i to drive the digital transformation of primary care through a five-year contract valued between £22.7 million and £33.8 million. This collaboration aims to enhance service delivery, ensuring 24/7 support and a focus on innovation and resilience. With a strong track record, N3i is set to optimize clinical systems and implement modern GP IT services, ultimately improving patient outcomes across the region. This partnership underscores the critical role of technology in the future of healthcare. nn#HealthcareIT #DigitalTransformation #NHS #PrimaryCare #Innovation #HealthTech #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 748, "completion_tokens": 135, "total_tokens": 883, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 748
Completion Tokens - 135
Total Tokens - 883

 

Malaffi Events – the 7th GCC e-Healh Workforce Development Conferences

Malaffi - (Thursday November 28, 2024) - Malaffi/ Videos

Two fantastic days at the 7th GCC eHealth Workforce Conference in Dubai!We were honored to receive the ZIMAM "Health Data Interoperability Project of the Year 2024" award and share insights on the latest trends...

Exciting highlights from the 7th GCC eHealth Workforce Conference in Dubai! We proudly received the ZIMAM "Health Data Interoperability Project of the Year 2024" award, showcasing our commitment to advancing health information exchange. The event was a fantastic opportunity to discuss the latest trends shaping the future of healthcare IT and collaboration across the region. Together, we are paving the way for a more interconnected healthcare landscape.#HealthIT #Interoperability #eHealth #HealthData #HealthcareInnovation #DigitalHealth #GCCHealthcare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYYjqgEhRDWx5qQXn7z1dO0p6QLKU", "object": "chat.completion", "created": 1732800050, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting highlights from the 7th GCC eHealth Workforce Conference in Dubai! We proudly received the ZIMAM "Health Data Interoperability Project of the Year 2024" award, showcasing our commitment to advancing health information exchange. The event was a fantastic opportunity to discuss the latest trends shaping the future of healthcare IT and collaboration across the region. Together, we are paving the way for a more interconnected healthcare landscape. nn#HealthIT #Interoperability #eHealth #HealthData #HealthcareInnovation #DigitalHealth #GCCHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 256, "completion_tokens": 109, "total_tokens": 365, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 256
Completion Tokens - 109
Total Tokens - 365

 

AI tool could predict type 2 diabetes 10 years in advance

Digital Health - (Thursday November 28, 2024) - AI/ Digital Health/ Frequent Updates

Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI tool which could identify people at risk of type 2 diabetes up to 10 years before they begin to...

Exciting advancements in healthcare technology! Researchers at Imperial College London have developed the AIRE-DM AI tool, capable of predicting type 2 diabetes risk up to 10 years in advance by analyzing routine ECG readings. This innovative approach could revolutionize preventative care, allowing for early interventions that promote lifestyle changes and reduce diabetes complications. With validation from 1.2 million ECGs, AIRE-DM represents a significant step toward harnessing AI for better health outcomes. As we move toward 2025, the integration of such tools into clinical practice could transform patient care.#HealthTech #AIinHealthcare #DiabetesPrevention #ECG #DigitalHealth #PreventativeCare #InnovationInHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AYVjP3A24goRBoeVNh9s5UBBJdQKM", "object": "chat.completion", "created": 1732788491, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare technology! Researchers at Imperial College London have developed the AIRE-DM AI tool, capable of predicting type 2 diabetes risk up to 10 years in advance by analyzing routine ECG readings. This innovative approach could revolutionize preventative care, allowing for early interventions that promote lifestyle changes and reduce diabetes complications. With validation from 1.2 million ECGs, AIRE-DM represents a significant step toward harnessing AI for better health outcomes. As we move toward 2025, the integration of such tools into clinical practice could transform patient care. nn#HealthTech #AIinHealthcare #DiabetesPrevention #ECG #DigitalHealth #PreventativeCare #InnovationInHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 741, "completion_tokens": 141, "total_tokens": 882, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_3de1288069" }

Prompt Tokens - 741
Completion Tokens - 141
Total Tokens - 882

 

I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.