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 ...

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.

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 ...

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 ...

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 ...

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 ...

Scientists have developed an AI-powered tool that detects 64% of brain abnormalities linked to epilepsy that human radiologists miss. MELD Graph is an AI tool that could drastically change the care ...

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 ...