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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

Clinical decision making is often based on analysis of retrospective patient cohorts to enable and guide treatment decisions. In general, there are large volumes of data within hospitals within Electronic...

In medicine, evidence forms the cornerstone of its paradigm, primarily derived from data. Across the...

Significance for Cancer Diagnosis Biomarkers (short for biological marker) are measurable biological indicators that provide crucial information about health status, disease processes, or treatment responses. Biomarkers can be molecules, genes,...

Grant will fund R&D of LLMs for automated entity recognition, relation extraction, and ontology metadata...

What is Clinical Data Abstraction Creating large-scale structured datasets containing precise clinical information on patient itineraries is a vital tool for medical care providers, healthcare insurance companies, hospitals, medical research,...