AI
Researchers at UVA Health have developed a powerful new risk assessment tool for predicting outcomes in heart failure patients. The new tool, which has been made publicly available for free to clinicians, improves on existing risk assessment tools for heart failure by harnessing the power of machine learning (ML) and artificial intelligence (AI) to determine [...]
Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study. According to the authors, the new advances pave the way for affordable, patient-centric, and deep learning-powered ultra-low-field (ULF) MRI scanners, addressing unmet clinical needs in diverse healthcare settings worldwide. Magnetic Resonance Imaging (MRI) has revolutionised healthcare, [...]
AI-discovered drugs in Phase I clinical trials have an 80-90 per cent success rate, far outpacing drugs discovered by humans, new research has found. Human-discovered drugs have an average success rate of 40-65 per cent in Phase I. The new BCG research is published in the journal Drug Discovery Today. The study is the first [...]
The Medicines and Healthcare products Regulatory Agency (MHRA) has launched AI Airlock - its new regulatory sandbox for AI as a Medical Device (AIaMD). The Airlock aims to help the agency to identify and address the challenges for regulating standalone AIaMD, initially seeking out and supporting four to six virtual or real-world projects through simulation. [...]
A new assessment tool that leverages powerful artificial intelligence was able to predict whether participants exhibited suicidal thoughts and behaviours using a quick and simple combination of variables. Developed by researchers at Northwestern University, the University of Cincinnati (UC), Aristotle University of Thessaloniki and Massachusetts General Hospital/Harvard School of Medicine, the system focuses on a [...]
By Mike Drew and Chris Hamilton, Odgers Berndtson
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine. The study focused on disorders collectively called common variable immunodeficiency (CVID), which often elude diagnosis for years or [...]
Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international study. Published in the journal Radiology, the study findings underscore the need to regulate these LLMs in scenarios that require high-level medical reasoning, researchers said. [...]
A new study has pitted ChatGPT against the ESCMID guideline for the management of brain abscesses, finding that while ChatGPT seems able to give recommendations on key questions about diagnosis and treatment in most cases, some of the AI model’s responses could put patients at risk. With AI poised to become a fundamental part of [...]
By Sharon Lamb | Dr. Deniz Tschammler | Lorraine Maisnier-Boché, McDermott Will & Emery
