Please provide your email address to receive an email when new articles are posted on . Mean number of adenomas per procedure was higher with GI Genius vs. standard colonoscopy (1.56 vs. 1.21), as was ...

We used four deep learning models (ConvNeXt, PlexusNet, MobileNet, and SwinTransformer) covering a variety of model complexity and efficacy. We trained these models on a previously published ...

Please provide your email address to receive an email when new articles are posted on . Researchers developed a modified spinal instability neoplastic score to incorporate a neurologic impairment ...

A comparative experiment has been designed to validate our hypothesis as shown in the figure below. We used lung cancer and ABUS datasets to pre-train our previously proposed architecture. We focused ...

BERLIN, Germany — Artificial intelligence (AI)–assisted capsule endoscopy (CE) readings showed higher sensitivity and accuracy in detecting ulcers and erosions in patients with inflammatory bowel ...

Pancreatic cancer is one of the hardest cancers to treat, which makes early detection so crucial, now AI is lending a hand to speed up the process.

Artificial intelligence is being used in a wide variety of applications in medicine, and now scientists have developed an AI system that can boost detection rates for cancerous and precancerous ...

New guidelines introduce quality indicators like bowel preparation adequacy and sessile serrated lesion detection rates for colonoscopy. The adenoma detection rate (ADR) threshold increased from 30% ...

Narrow-band imaging demonstrated superior visibility of colorectal lesions, with a significantly lower miss rate than white-light imaging or texture and color enhancement imaging modes. Detection ...

Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data We used four deep learning models (ConvNeXt, PlexusNet, MobileNet, and ...