One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Most document retrieval in GenAI is based on semantic similarity, but this approach falls short in a few ways when analyzing clinical texts.

An AI tool appeared superior to two FDA-approved biomarkers for predicting how people with cancer will respond to immune ...

With applications ranging from clinical risk prediction to the utilization of medical large language models (LLMs), AI is reshaping the way healthcare professionals tackle complex medical challenges, ...

"Not entirely incorrect, but not precise either." What scientists says about the quality and reliability of medical advice ...

Clinical trial complexity has significantly increased in the past decade. How can the industry adapt and innovate to remain ...

Researchers have discovered significant links between total serum IgE in children with food allergy and several patient factors, according to results published in The Journal of Allergy and Clinical ...

Healthcare AI foundation model company Corti AI announced an integration with UpToDate by Wolters Kluwer, the point-of-care ...

Several classifications were used to categorize the models: by target organ or system, by indication, by mathematical method, and by associated data. The following criteria were applied to define the ...

Researchers from Tsinghua University and Beijing Tsinghua Changgung Hospital have developed a revolutionary model, ECG-LM, ...

This prepublication history comprises all previous versions of the manuscript, the study protocol (submitting the protocol is mandatory for all clinical trials and encouraged for all other ... we ...

Researchers from the University of Alabama at Birmingham’s School of Education and Human Sciences have developed a tool to assist counselors in identifying college students at heightened risk of ...