A new study published in Radiology paints a promising picture of the role of artificial intelligence (AI) in breast cancer screening.
Researchers from the University of British Columbia have embarked on a promising initiative to enhance treatment using artificial intelligence for individuals with endometrial cancer, the most prevalent gynecologic cancer.
A new soft robot, "SmartSleeve," offers innovative on-demand drug delivery to the heart, using electrical signals to treat cardiac diseases with precision. SmartSleeve combines soft robotics with a bioadhesive electronic interface, enabling sutureless attachment to the heart and precise drug release in response to ECG signals.
Teladoc Health, the global leader in whole-person virtual care, released new data today from two studies, presented at the American Diabetes Association’s 84th Scientific Sessions, that illustrate the company’s unmatched predictive modeling capabilities to help members with type 2 diabetes control their blood sugar through participation in Teladoc Health’s diabetes management program.
A recent study published in JCM compared the efficacy of conventional laparoscopy (CL) and robotic-assisted laparoscopy (RAL) for treating deep endometriosis in Mexican patients. The research aimed to assess perioperative and postoperative outcomes of both techniques in a developing country context.
Researchers at Michigan State University are in charge of creating a brand-new artificial intelligence (AI) program, TopoFormer, that has the potential to expedite and lower the cost of medication development.
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.
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