An artificial intelligence (AI) model is being trained on a set of NHS data for 57 million people in England, from which personal information has been stripped away, in a world-first pilot project run by researchers at UCL and King’s College London. Foresight model has been published on Nature The model could transform patient care,
Cedars-Sinai-Led Study of AI-Enabled Virtual Visits Found That AI Recommendations Were Graded Higher Than Physician Decisions Do physicians or artificial intelligence (AI) offer better treatment recommendations for patients examined through a virtual urgent care setting? A new Cedars-Sinai study shows physicians and AI models have distinct strengths. The late-breaking study presented at the American College
Newly developed artificial intelligence can account for how the brain changes as we learn, enabling a person with paralysis to move objects Researchers at UC San Francisco have enabled a man who is paralyzed to control a robotic arm that receives signals from his brain via a computer. He was able to grasp, move and
A new AI model can predict patients’ risk of developing and worsening disease, and even their risk of early death, using an electrocardiogram (ECG). Researchers at Imperial College London and Imperial College Healthcare NHS Trust believe their work, published today in Lancet Digital Health, could be used in the NHS within five years. It would
New research shows AI can help solve problems for patients, doctors and the health system. You may not think artificial intelligence could have a role in surgery, but new research shows AI can help solve problems for patients, doctors and the health system. A group of researchers led by surgery researcher Dr Chris Varghese at
Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers from the Luxembourg Centre for Systems Biomedicine (LCSB) of
NIH scientists use artificial intelligence called ‘P-GAN’ to improve next-generation imaging of cells in the back of the eye Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image
The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the BMJ today. TheTRIPOD guidelines (which stands for Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis Or Diagnosis) were developed in 2015
Charité study highlights limits of large language models in precision medicine Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are. To be able to offer patients personalized therapies tailored to their disease, laborious
Over the past decade, I’ve kept a close eye on the emergence of artificial intelligence in healthcare. Throughout, one truth remained constant: Despite all the hype, AI-focused startups and established tech companies alike have failed to move the needle on the nation’s overall health and medical costs. Finally, after a decade of underperformance in AI-driven medicine, success is approaching faster
