US EditionCan Ambient AI Assistants Help In Stopping Primary Care Burnout?
- AI Assistants may transform primary care by reducing burnout and enhancing patient interactions, according to a study by Phyx Primary Care.
- Sixty percent of participants experienced a reduction in burnout, indicating a significant improvement in their working conditions.
- 54% of surveyed physicians reported that their notes improved 'to a great extent,' showing enhanced documentation quality due to AI Assistants.
- The study suggests AI Assistants could alleviate clerical burdens and enrich doctor-patient relationships in primary care.
37 Articles
37 Articles
A versatile AI system for analyzing series of medical images
A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a new study. The system's sensitivity and flexibility could make it useful across a wide range of medical and scientific applications.
Texas mulls limiting health insurance artificial intelligence
Artificial intelligence is becoming a larger part of life, including in the healthcare industry. Insurance companies at times use it to root out fraud but doctors worry it can also be used to tee-up claim denials. Texas lawmakers in Austin will debate whether to limit the technology and by how much. Michele Rayes from Friday is a patient with hypoparathyroidism and an advocate for the Texas Coalition for Patients. She’s midway through the claims…
Can AI help modernise Ireland's healthcare system? - Business Fast
Padraig Belton Technology Reporter Mater The Mater hospital in Dublin – home to Ireland’s busiest emergency department For a country famous as Big Tech’s European address, Ireland’s hospitals often lag far behind in technology. They lack shared computerised patient records, or unique identifiers to track people when they move between clinics. In July 2024, a […]
A guide to deep learning in healthcare
Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing, reinforcement learning, and generalized methods. We describe how these computational techniques can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging, and we describe the application of natural language…
AI’s role in shaping healthcare future highlighted
PU Vice Chancellor Prof Dr M Ali addresses an event at the Punjab University on January 27, 2025. — Facebook@UniversityOfThePunjab.OfficialLAHORE:The integration of artificial intelligence and big data with molecular biology is accelerating progress in personalised medicine, shaping the...
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