Google has introduced Health AI Developer Foundations (HAI-DEF), a public resource for healthcare developers that provides open-weight models to help them build healthcare applications, initially focused on dermatology, radiology and pathology.Open-weight AI models are…
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Meredith Baker, Founder of Skinlogic MedSpa in Severna Park, Maryland, offering comprehensive, personalized skin solutions in a welcoming environment serving the greater Annapolis region joins eHealth Radio and the Health News and Skin Care…
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Tech giant Microsoft has pursued dozens of partnerships with health systems over the past few years, with these focusing mainly on fine-tuning AI models to better serve busy clinicians.
Last month at the HLTH conference…
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Manual decisions regarding the timing of surveillance endoscopy for premalignant Barrett’s oesophagus (BO) is error-prone. This leads to inefficient resource usage and safety risks. To automate decision-making, we fine-tuned Bidirectional Encoder Representations from Transformers…
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What You Should Know:
– EveLab Insight, a pioneer in the beauty tech industry, has introduced a game-changing advancement to its Eve V Panoramic AI Skin Analysis System: a comprehensive neck analysis feature.
– The innovation…
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Charlie Byrge, Senior Vice President of Tendo
Surprise medical bills can be a major headache for anyone, but they can be annoyingly common for those with high-deductible health insurance plans (HDHPs). In fact, half of…
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Microsoft unveiled a number of Microsoft Cloud for Healthcare innovations designed to connect experiences, boost team collaboration, empower healthcare workers and unleash clinical and operational insights.The company is launching healthcare AI models, a collection…
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Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application of the transformer deep-learning…
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Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and…
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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…
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