Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
IVDs are essential for disease detection, personalized treatment, and public health, driving growth in the global diagnostics ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
7don MSN
Seeing thyroid cancer in a new light: When AI meets label-free imaging in the operating room
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
News-Medical.Net on MSN
AI-powered optical imaging helps surgeons identify thyroid cancer in real time
Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
WINSTON-SALEM, N.C. — Researchers at Wake Forest University School of Medicine are developing a new at-home device they hope will help people identify potential skin cancer risks earlier and encourage ...
The market is rapidly transitioning from episodic diagnostics to continuous health monitoring. By 2035, the integration of ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...
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