Ophthalmologists discuss how advanced imaging, MIGS, and home monitoring are reshaping decision-making in complex glaucoma ...
Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...
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Zero-cost, AI-driven digital detection identifies Alzheimer’s and related dementias without additional clinician time
In a real-world clinical trial, published in JAMA Network Open, researchers demonstrate that a fully digital AI zero-cost method for detecting dementia can be scaled across primary care clinics. This ...
Motion data is well known for improving athletic performance and rehab. Thanks to AI, it’s also turning motion into another ...
Modern herds generate more information than ever. Veterinarians are key to interpreting it and guiding data-driven management ...
Overview of the Digital Pathology MarketThe global Digital Pathology Market is projected to register a growth rate of approximately 10.5% by 2029. The increasing burden of chronic diseases such as ...
Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
The work aligns with Mayo Clinic's Precure initiative, aiming to predict and prevent diseases before they manifest, ...
As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most ...
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