Articles related to MACHINE LEARNING

AI-assisted diagnosis of lung cancer showed 87% sensitivity and 87% specificity in a meta-analysis, suggesting potential for improved accuracy in interpreting chest CT scans.

The TRIPOD+AI guidelines mark a significant update in the standards for reporting prediction models, incorporating advancements in AI to support rigorous, transparent research in healthcare settings, facilitating better clinical decision-making tools.

In the realm of dermatology, AI and ML are not just futuristic concepts but practical tools enhancing diagnostic precision, patient care, and administrative efficiency. These technologies are reshaping how dermatologists interact with data, patients, and their own continuing education.

In the realm of rare diseases, early diagnosis is a critical challenge. Machine learning is emerging as a pivotal tool in identifying familial amyloid polyneuropathy (FAP) patients, promising a new era of precision in genetic testing and timely treatment initiation.

Explore the latest advancements in capsule endoscopy, where AI and 3D imaging converge to enhance gastrointestinal disease detection, offering a promising alternative for patients hesitant about invasive procedures.