Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Artificial intelligence could help doctors detect serious heart valve disease years earlier, potentially saving thousands of lives, a new study suggests. Researchers led by the University of Cambridge ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Africa has 11 percent of the world’s population and 24 percent of the global disease burden, yet only 3 percent of the world’s health workers and less than 1 percent of global health expenditure.

AI-detected extranodal extension could help predict which patients with oropharyngeal carcinoma would benefit from de-escalated treatment and who could use intensified therapies.A retrospective ...

Researchers developed criteria for triaging suspected UTIs, focusing on antibiotic use and urine testing to improve outpatient care and telehealth efficiency.

The diagnostic manual known as "the Bible of psychiatry" is about to get a major overhaul. The American Psychiatric Association (APA) puts out the tome known in the field as the DSM-5. That stands for ...

School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and ...

Background: Researchers have explored machine learning (ML) in diagnosing endometriosis. However, systematic evidence on its diagnostic accuracy for endometriosis remains scarce. Objective: To ...

Abstract: Accurate diagnosis of fault factors in power system lines is crucial for restoring power supply and distribution. However, the diagnostic accuracy of current fault diagnosis methods is ...