
ANALYSIS OF CHALLENGES AND POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS.
AI in medical diagnostics shows promise for accuracy and efficiency. Challenges like data bias and ethics need addressing. π€π
Discover the newest research about AI innovations in Research.

AI in medical diagnostics shows promise for accuracy and efficiency. Challenges like data bias and ethics need addressing. π€π

NHS’s 10-Year Health Plan emphasizes prevention, community care, and digital solutions for improved patient outcomes. π₯π»

Digital therapeutics enhance cardio-oncology rehabilitation for lung cancer survivors, improving fitness and quality of life. ππͺ

New research reveals the spatial tumor microenvironment of intrahepatic cholangiocarcinoma, impacting patient prognosis and treatment options. π§¬π

Epic will present AI advancements and new technologies at HIMSS25, focusing on improving healthcare efficiency and patient care. π€π₯

The DALY-CARE resource enhances research on lymphoid cancers, combining extensive health data for improved patient care. ππ

Study reveals 65.8% of adults lack trust in healthcare’s use of AI. Communication and engagement are essential for improvement. π€π

A recent study highlights a hybrid transformer model, LungMaxViT, achieving 96.8% accuracy in lung disease classification using chest X-rays. π©»β¨

This study explores deep learning for assessing mental fatigue in sports, achieving 95.29% accuracy. π§ β½οΈ

Northamptonshire’s maternity EPR system, BadgerNet, will launch at Kettering General Hospital in July 2025 and Northampton by year-end. π₯π