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AI in Healthcare Blog

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

There is overwhelming evidence from academic research and industry benchmarks that domain-specific and task-specific large language models outperform general-purpose LLMs across multiple dimensions: Accuracy, veracity, human preference, and cost. This...

A report dedicated to the most current research aimed at using Large Language Models (LLMs) in the field of Sentiment Analysis. This task involves extracting the author’s opinion from the...

In this speech, I will provide an overview of the current challenges faced by healthcare professionals in accessing and interpreting vast amounts of patient data. I will discuss how our...

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...