The adoption of AI in clinical settings has increased exponentially over the past decade, but AI models still haven’t achieved the level of ubiquity that they could within the sector.
A few years ago, a…
The Radiological Society of North America (RSNA) organized the RSNA Screening Mammography Breast Cancer Detection AI Challenge to foster the development of AI models that accurately detect breast cancer. With participation from nearly 1,700…
Continue Reading
Theja Birur, Chief Technology Officer & Founder, 4L Data IntelligenceIn 2020, the Department of Justice estimated that fraudulent, wasteful, and abusive (FWA) billing practices account for more than $100 billion of the nation’s healthcare…
Continue Reading
What happens when ChatGPT-4 and a human cardiologist are asked to diagnose the same patient? The results are quite revealing.
By Paul Cerrato, senior research analyst and communications specialist, Mayo Clinic Platform, and John Halamka,…
Continue Reading
The University of Adelaide, The Queen Elizabeth Hospital, and the Health and Information Collaborative have created a tool that uses AI algorithms to predict when general surgery patients are about to be discharged. The…
Continue Reading
What You Should Know:MultiPlan, a provider of data-enabled cost management, payment, and revenue integrity solutions for 700+ healthcare payors announced the acquisition of Benefits Science LLC (BST) for $160M in cash and stock.BST was…
Continue Reading
A new AI-based tool in South Australia can accurately predict when a general surgery patient is about to be discharged from the hospital.Called the Adelaide Score, it was developed by a team of researchers…
Continue Reading
The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on existing literature: temporal, geographical, and domain generalizability. These generalizability…
Continue Reading
Artificial intelligence (AI) technology in medical imaging has the potential to revolutionize healthcare but also carries potential pitfalls. Researchers from the University of Maryland School of Medicine found that most AI algorithms used in…
Continue Reading
By Shania Kennedy
May 03, 2023 – Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI) algorithms do…
Continue Reading
