March 21, 2024, 5 a.m. | Mohammad Arshad

MarkTechPost www.marktechpost.com

Health equity is a pressing global concern characterized by persistent and widening health disparities. These disparities, rooted in multifaceted barriers across society, include limited access to healthcare, differential clinical treatment, and variations in diagnostic effectiveness. The integration of artificial intelligence (AI) into clinical decision-making processes offers promise in addressing healthcare challenges, but there’s a recognized […]


The post Google Health Researchers Propose HEAL: A Methodology to Quantitatively Assess whether Machine Learning-based Health Technologies Perform Equitably appeared first on MarkTechPost.

ai shorts applications artificial artificial intelligence clinical diagnostic differential editors pick equity global google google health health healthcare health equity integration intelligence machine machine learning methodology researchers society staff technologies technology treatment

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Tableau/PowerBI Developer (A.Con)

@ KPMG India | Bengaluru, Karnataka, India

Software Engineer, Backend - Data Platform (Big Data Infra)

@ Benchling | San Francisco, CA