Researchers from Mount Sinai Hospital are transitioning clinical deterioration models from byte to bedside, which involves deploying and assessing a machine learning intervention aimed at improving clinical care and patient outcomes, The study was published in the journal Critical Care Medicine.
Johns Hopkins University researchers introduced DELFI, an AI-powered blood test for early lung cancer detection, in a study published in Cancer Discovery. By analyzing DNA fragmentation patterns, DELFI significantly outperformed traditional methods, promising to enhance screening rates and reduce lung cancer mortality.
An international study led by Radboud University Medical Center and published in The Lancet Oncology compares and transparently assesses AI with clinical outcomes and radiologist assessments.
In a recently published study in the journal Cell Reports Physical Science, researchers from the University of Southern California have created a system that uses AI to track small devices that keep an eye on gut illness signs.
HADAROIS, a high-precision robotic system, significantly enhances oral implant surgery. The dual-arm robot reduces preoperative time, ensures precise implant placement, and delivers superior aesthetic and functional results, advancing the field of dental implantology.
Researchers at UCLA Health discovered that the risk of prostate cancer can be greatly decreased by mapping the boundaries of cancerous prostate tissue using Artificial Intelligence.
Scientists at the University of North Carolina at Chapel Hill have developed novel soft robots that can sense their environment and adjust their movements in real time.
A study in Scientific Reports reveals that the new seven-axis robotic-assisted "JianJia" system improves the accuracy of acetabular cup placement in total hip arthroplasty (THA) compared to conventional methods.
Researchers in Nature Communications introduced an innovative design for soft robots that mimic skeletal muscles and sensory skins. These robots, integrating sensing and actuation capabilities, demonstrated potential in medical implants, dynamically responding to various stimuli for tasks such as drug delivery and cardiovascular monitoring.
Researchers at the University of South Florida are revolutionizing mosquito monitoring with artificial intelligence to help fight malaria in Africa. Together with an interdisciplinary team of researchers, Ryan Carney, associate professor of integrative biology, and Sriram Chellappan, professor in the department of computer science and engineering, will advance the study of malaria and look into creative ways to target malaria-infected mosquitoes in real time.
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