The latest research suggests that these digital tools will eventually become useful medical assistants, but we still need to watch for unpredictable fabrications and misstatements.
By Paul Cerrato, MA, senior research analyst and communications specialist,…
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Google made several announcements during its Check Up event on Tuesday, including the release of its new MedLM for Chest X-ray, advancements in personalization at Fitbit Labs and the release of its Skin Condition…
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Company will Apply AI Technologies Including Reinforcement Learning and LLMs to Optimize how Patients Flow through Hospitals
UnityAI, a healthcare technology startup founded by three seasoned engineers and data scientists with backgrounds at HCA Healthcare, a…
ORLANDO – At HIMSS24 on Tuesday, Dr. John Halamka, president of Mayo Clinic Platform offered a frank discussion about the substantial potential benefits – and very real potential for harm – in both predictive…
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Very large health care systems and academic medical centers can employ programmers to create their own LLMs, according to David Kereiakes, managing partner at Windham Venture Partners. In addition to patient data, they ingest…
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Previous articles in this series have shown how generative AI can be used for administrative and back-office functions in health care. Now we’ll look at how models are trained for these specific purposes.
Training…
What You Should Know:
– DeepScribe, a pioneer in AI-powered medical documentation, today announced a collaboration with Amazon Web Services (AWS) aimed at accelerating the secure scaling of large language models (LLMs) within the healthcare…
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By Shania Kennedy
February 23, 2024 – Researchers from the New York Eye and Ear Infirmary of Mount Sinai (NYEE) demonstrated that OpenAI’s Generative Pre-Training–Model 4 (GPT-4)can match, or in some cases outperform, ophthalmologists in the…
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The use of large language models (LLMs) in clinical medicine is currently thriving. Effectively transferring LLMs’ pertinent theoretical knowledge from computer science to their application in clinical medicine is crucial. Prompt engineering has shown…
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Large language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their ability to generalize to unseen tasks in more complex fields,…
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