Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence (IPV) using information from their electronic medical records (EMRs).
Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced by barber surgeons in Europe, during a time when physicians rarely operated on patients.
An AI-driven tool that tailors antidepressant treatment to individual patients was shown to improve outcomes for people with depression, compared to standard treatment, in a major international trial.
A research team from the Department of Pharmacology and Pharmacy at the LKS Faculty of Medicine of the University of Hong Kong (HKUMed) has developed an innovative AI-based cardiovascular risk prediction tool, called CardiOmicScore
A research team led by Professor Jaehyuk Cho from the Department of Software Engineering at Jeonbuk National University in South Korea, have developed an innovative model, named BiT-MAML, aimed at tackling inter-patient variability in BG prediction.
Philips (NYSE: PHG)+ announced today that it received FDA 510(k) clearance for its SmartHeart planning solution.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.
A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a simple blood sample to detect pancreatic cancer at its earliest stages—when treatment is most effective—achieving up to 94% diagnostic accuracy.
A new tool co-developed by investigators from Cedars-Sinai Health Sciences University can predict which of two available chemotherapy options for pancreatic cancer would be more effective for an individual patient.
Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test using genome-wide cell-free DNA (cfDNA) fragmentation patterns and repeat landscapes can detect early liver fibrosis and cirrhosis.