MedicalXpress.com-Health Technology

Bart Custers and Eduard Fosch-Villaronga from eLaw–Center for Law and Digital Technologies have contributed a chapter to the volume “AI Implementation in Radiology: Challenges and Opportunities in Clinical Practice.”This post was originally published on this […]

A new model developed to predict mental resilience in college students could have significant implications for how universities address the growing mental health challenges facing this demographic.This post was originally published on this site

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson’s disease with near-perfect accuracy, simply by analyzing brain responses to emotional situations like […]

A newly developed tool that harnesses computer vision and artificial intelligence (AI) may help clinicians rapidly evaluate placentas at birth, potentially improving neonatal and maternal care, according to new research from scientists at Northwestern Medicine […]

A new screening method that combines laser analysis with a type of AI is the first of its kind to identify patients in the earliest stage of breast cancer, a study suggests.This post was originally […]

A new study led by Dr. Tafheem Wani, a La Trobe lecturer in Digital Health Information Management, showed that clinicians’ phones (and other digital devices) contained sensitive patient information, which was not often protected by […]

A new protocol for the analysis of self-collected cervical samples could reduce the need for follow-up clinician screening for many women, and result in more rapid referral for gynecology assessment for others. This could improve […]

A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR)-positive, HER2-negative metastatic breast cancer would have […]

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography are limited by the need for professional curation, which […]

The future of breast cancer screening and risk-reducing strategies is being shaped by artificial intelligence (AI), according to a review article published on December 12 in the journal Trends in Cancer.This post was originally published […]