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
Experts say careful application of advanced tech could usher in a golden age of healthcare New technologies could enable medicine to progress in leaps and bounds, but only with the right regulatory and ethical frameworks. That was one of the messages from panelists discussing the future of medicine at the Science|Business conference Horizon Europe: The first assessment as
Countering COVID-19 mutations and designing updated vaccines could occur at lightning speeds thanks to a new, USC-developed AI framework. USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy. Using artificial intelligence (AI),
Bill Gates calls for reducing health care inequities in a AAAS Annual Meeting plenary address. The number of child deaths around the world has declined by half in the past two decades, but that number could be cut even further with the help of artificial intelligence and gene editing tools, said Bill Gates at the
Teams at Helmholtz Zentrum München, LMU Munich and the Technical University of Munich (TUM) have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice. Source: HelmholtzZentrum München – German Research Center for Environmental Health Cancer is one of the leading causes of death
Source JAMA Network Open IMPORTANCE A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services. OBJECTIVE To determine the accuracy of an artificial intelligence algorithm in identifying melanoma
Researchers have developed a neural network approach that can accurately identify congestive heart failure with 100% accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat, a new study reports. Nearly 10 percent of adults over the age of 65 suffer from some kind of congestive heart failure (CHF). There are a variety of different
Hong Kong-based Insilico Medicine published research Monday showing that its deep learning system could identify potential treatments for fibrosis. That system, called generative tensorial reinforcement learning, or GENTRL for short, was able to find six promising treatments in just 21 days, one of which showed promising results in an experiment involving mice. The research has been
Nearly $12 million machine will let MIT researchers run more ambitious AI models. IBM designed Summit, the fastest supercomputer on Earth, to run the calculation-intensive models that power modern artificial intelligence (AI). Now MIT is about to get a slice. IBM pledged earlier this year to donate an $11.6 million computer cluster to MIT modeled
Researchers in the US have developed a rapid, artificial intelligence (AI)-based test that can identify patients with an abnormal heart rhythm, even when it appears normal. This 10 second test for atrial fibrillation could be a significant improvement over current test procedures that can take weeks or even years (Lancet 10.1016/S0140-6736(19)31721-0). Atrial fibrillation is a common
