Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions. However, their responses often include inaccuracies; therefore, safety measures like medical…
Continue Reading
Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…
Continue Reading
Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance of large language models (LLMs) in detecting these symptoms from secure patient messages. We…
Continue Reading
Electronic health records (EHRs) contain rich longitudinal information for clinical decision-making, yet LLMs struggle to reason across patient timelines. We introduce TIMER (Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records), a method to…
Continue Reading
“Using data sets of attacker-generated commands and responses, these models are trained to mimic server behaviors convincingly. Techniques such as supervised fine-tuning, prompt engineering and low-rank adaptations help tailor these models for specific tasks,”…
Continue Reading
With a growing shortage of clinicians and an aging population, more patients are seeking self-care information. But navigating the available AI tools remains a challenge even for the most internet savvy.
By John Halamka, M.D., Diercks…
Continue Reading
A ten-year investment by Concord Technologies in AI is paying off in major enhancements to their platform. In addition to health care data exchange—which supports all types of documents from faxes to, now, secure…
Continue Reading
Professor Kamila Hawthorne, chair of the Royal College of GPs (Credit: Grainge Photography)
A study has suggested that AI should be used to support the delivery of primary care, after chatbots outperformed GPs based…
Continue Reading
Many rare genetic diseases have recognizable facial phenotypes that serve as diagnostic clues. While Large Language Models (LLMs) have shown potential in healthcare, their application to rare genetic diseases still faces challenges like hallucination…
Continue Reading
Large language models (LLMs) have shown promising capabilities across diverse domains, yet their application to complex clinical prediction tasks remains limited. In this study, we present CARE-AD (Collaborative Analysis and Risk Evaluation for Alzheimer’s…
Continue Reading
