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and Drug Administration (FDA) has initiated a transformative step in healthcare technology by releasing comprehensive draft guidance for AI-enabled medical devices on January 6, 2025.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
Mental health apps are efficacious, yet they may pose risks in some. This review (CRD42024506486) examined adverse events (AEs) from mental health apps. We searched (May 2024) the Medline, PsycINFO, Web of Science, and…
Continue Reading
Pravin Tiwari, Executive Vice President and Business Unit Head, FPT Software
The promise of AI is greater efficiency in solving complex problems. But with that promise comes the responsibility of understanding and applying
governance, ethical, and…
Continue Reading
Clinicians face increasing workloads in medical imaging interpretation, and artificial intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI collaboration on image interpretation workload. Four databases were searched for studies comparing…
Continue Reading
A new research report from Yale School of Medicine offers an up-close look at how biased artificial intelligence can affect clinical outcomes. The study focuses specifically on the different stages of AI model development,…
Continue Reading
Medical Testing in AI : Introduction
Medical Testing in AI plays a vital role in promoting bias-free healthcare systems by addressing data gaps that could lead to disparities. Inequities in Medical Testing, particularly across racial…
