Researchers developed a reinforcement learning-based controller for lower limb rehabilitation exoskeletons (LLREs), offering robust, patient-agnostic walking assistance. This controller, trained with simulated human-exoskeleton interactions, adapts to various neuromuscular disorders without needing specific control parameter tuning.
A new study in Biology Methods & Protocols, published by Oxford University Press, suggests that doctors may soon be able to use artificial intelligence (AI) to detect and diagnose cancer in patients, enabling earlier treatment.
In a study presented at ASM Microbe, Day Zero Diagnostics researchers revealed a revolutionary technique for antimicrobial susceptibility testing based on artificial intelligence (AI).
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.
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