The rapid growth and widespread adoption of large language models (LLMs) across real-world applications offer a host of new opportunities for the healthcare sector. Hospitals and clinics are starting to rely on artificial intelligence (AI) assistants for daily administrative tasks, and the technology is expanding to support doctors in making more accurate diagnoses, which remains a cornerstone of effective medical care.
Charting a Path to the Right Diagnosis with AI Copilots
Related Articles
New Study Demonstrates Value of AI-Enabled EKG Algorithm in Routine Practice
AZO Robotics: The EAGLE—short for ECG AI-Guided Screening for Low Ejection Fraction—trial attempted to establish whether an artificial intelligence (AI) screening tool designed to spot low ejection fraction through EKG…May 06, 2021
New Project Trains AI on a Hard-to-Diagnose Cardiac Issue
Health Leaders: A start-up from the Mayo Clinic orbit is partnering with Pfizer to develop an AI-enhanced ECG that can detect cardiac amyloidosis, a progressive disease that's difficult to diagnose…December 16, 2022
Anumana: Interview With CEO Maulik Nanavaty About The AI-Driven Health Technology Company
Anumana is a company that is harnessing industry-leading AI and translational science to decode electrical signals from the heart as never before, empowering healthcare providers to transform patient care throughout…May 22, 2025
How a New AI Algorithm Could Help in the Early Detection of Heart Disease
Xtalks: An AI algorithm developed by researchers at the Mayo Clinic through its newly formed health technology company Anumana Inc., can assess for low ejection fraction through routine electrocardiograms (ECG,…May 16, 2021