In the Age of AI, many health care providers dream of a digital assistant, unencumbered by fatigue, workload, burnout or hunger, that could provide a quick second opinion for medical decisions, including diagnoses, treatment plans and prescriptions.
Understanding how fat molecules are distributed and function in living organisms is key to uncovering mechanisms of aging, disease, and metabolism.
Men assessed as healthy after a pathologist analyzes their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to find subtle tissue changes that allow the cancer to be detected long before it becomes visible to the human eye.
In the U.S., one in five of the 37 million adults who has diabetes doesn’t know it. Current methods of diagnosing diabetes and prediabetes usually require a visit to a doctor’s office or lab work, both of which can be expensive and time-consuming. Now, diagnosing diabetes and prediabetes may be as simple as breathing.
The CIRRUS PathFinder tool is available via licensing in the new software update.
The patent covers a broad spectrum of applications, including arterial and renal mapping.
PERTH, Australia, Aug. 21, 2025 /PRNewswire/ — Artrya Limited (ASX: AYA) (Artrya or the Company), a medical technology company commercialising its Salix® AI-powered cloud platform, for the near real time, point of care assessment and management of coronary artery disease, is pleased to announce it has received 510(k) clearance from the U.S. Food and Drug Administration (the FDA) for Artrya’s proprietary, Salix® Coronary Plaque module.
A genetic test of cord blood at birth may hold the key to predicting a child’s future risk of developing type 2 diabetes, according to exciting new research from Australia and Hong Kong.
Researchers from Kumamoto University have identified a distinctive CT imaging pattern that can predict which women experiencing severe postpartum hemorrhage (PPH) are most likely to need life-saving interventions.
An artificial intelligence (AI)-assisted model that combines a patient’s MRI, biochemical, and clinical information shows preliminary promise in improving predictions of whether their knee osteoarthritis may soon worsen. Ting Wang of Chongqing Medical University, China, and colleagues have published this model in the journal PLOS Medicine.