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Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

npj Digital Medicine - (Saturday August 24, 2024)
Frequent Updates/ npj Digital Medicine

Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…

What is this technology? #shorts

Healthcare IT Today - (Saturday August 24, 2024)
Healthcare IT Today/ Videos

#colinhung #dementia #emotionalsupport #remotemonitoring #RemotePatientMonitoring #robotdog #RPM #supportanimal #TomStevens #Tombot #ViVE #ViVE2024…

Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening

npj Digital Medicine - (Saturday August 24, 2024)
Frequent Updates/ npj Digital Medicine

Diabetic macular edema (DME) has emerged as the foremost cause of vision loss in the population with diabetes. Early detection of DME is paramount, yet the prevailing screening, relying on two-dimensional and labor-intensive fundus…

Weekly Roundup – August 24, 2024 | Healthcare IT Today

Healthcare IT Today - (Saturday August 24, 2024)
Daily Reads/ Healthcare IT Today

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives…

Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

npj Digital Medicine - (Saturday August 24, 2024)
Frequent Updates/ npj Digital Medicine

Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and colitis. It is recognized as one of the most significant hospital-acquired infections. Although CDI can develop severe complications and spores of Clostridioides…

A scoping review of large language model based approaches for information extraction from radiology reports

npj Digital Medicine - (Saturday August 24, 2024)
Frequent Updates/ npj Digital Medicine

Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data retrieved from these reports….

Paige Launches AI Tool that Screens 505 Genes for Improved Cancer Diagnosis – MedCity News

MedCity News - (Saturday August 24, 2024)
AI/ Frequent Updates/ MedCity News

AI startup Paige launched a new AI product this week. The New York City-based company unveiled an AI-powered biomarker module that the company says can evaluate more than 505 genes and identify 1,228 molecular…

How One Company Is Easing Employers’ Administrative Headaches – MedCity News

MedCity News - (Friday August 23, 2024)
Frequent Updates/ MedCity News

Employers are often bogged down with multiple different healthcare point solutions, and getting employees to engage with them isn’t always easy.

Celeste Health Solutions, which was launched Wednesday by parent company USAble Corporation, aims to…

Vulcan Interoperability Bridge Event to Enable Clinical Research Infrastructure Information Session

Office of the National Coordinator for Health IT - (Friday August 23, 2024)
Office of the National Coordinator for Health IT/ Videos

Join colleagues from the Vulcan HL7® FHIR® Accelerator, Food and Drug Administration, and ASTP/ONC for a kickoff informational webinar for the Vulcan Interoperability Bridge Event. This webinar is designed to share information on how…

What LLMs can do for radiologists, and for the radiologist shortage

Healthcare IT news - (Friday August 23, 2024)
AI/ Frequent Updates/ Healthcare IT News

Large language models are fast becoming a key building block in new information systems for administrative staff and clinicians at hospitals and health systems. This form of artificial intelligence can accomplish tasks no human…


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.