Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. This study assessed LLM-only and LLM-assisted methods in data extraction and risk of bias assessment for 107 trials on complementary…
Continue Reading
Current State of Healthcare AI Implementation
While artificial intelligence has become increasingly prevalent in U.S. healthcare systems, with approximately two-thirds of hospitals utilizing AI-assisted predictive models, a striking disparity exists in their evaluation practices. According…
Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for…
Continue Reading
What Is Retrieval-Augmented Generation?
With RAG, an LLM is better positioned to optimize its output before generating a response, says Tehsin Syed, Amazon Web Services’ general manager of health AI. This is valuable when a…
While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.These were the results of a recent study…
Continue Reading
In this interview, Dr. Samir Shah, Chief Medical Officer at Qure.ai, shares why achieving FDA approval is crucial for their AI solutions and for fostering trust in the technology. Dr. Shah discusses how their…
Continue Reading
Groundbreaking AI Healthcare Regulations Unveiled
The U.S. Food and Drug Administration (FDA) has initiated a transformative step in healthcare technology by releasing comprehensive draft guidance for AI-enabled medical devices on January 6, 2025. This pioneering…
As startups transition from initial proof-of-concept technology to a commercially viable product, they will have to face and navigate the “Death Valley” curve. This critical phase, marked by a high risk of failure, is…
Continue Reading
A set of internationally-agreed recommendations has been published with the aim of reducing the risk of potential bias in AI for healthcare technologies.
The guidelines from the STANDING Together initiative, published The Lancet Digital Health…
Where adopted, Autonomous artificial Intelligence (AI) for Diabetic Retinal Disease (DRD) resolves longstanding racial, ethnic, and socioeconomic disparities, but AI adoption bias persists. This preregistered trial determined sensitivity and specificity of a previously FDA…
Continue Reading
