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ChatGPT-5 Pro can generate clinically realistic psychiatric teaching cases, but safety concerns require expert review before classroom use. Background AI tools increasingly support medical education. This study evaluated whether ChatGPT-5 Pro could generate realistic psychiatric diagnostic vignettes depicting patient chatbot…
A new lightweight artificial intelligence model combined with salivary metabolic analysis achieved 91.9% accuracy in identifying patients with both type 2 diabetes and periodontitis in just 0.7 minutes per test, offering a rapid non-invasive screening tool. Background Periodontitis frequently co-occurs…
Decipher-MR represents a significant advance in medical imaging AI, offering a reusable foundation model trained on 200,000 diverse MRI scans that consistently outperforms existing approaches across disease detection, anatomy localization, and cross-modal retrieval tasks. Background Medical imaging AI has historically…
A new study shows that radiology AI models fine-tuned on institutional data outperform general-purpose language models like GPT-4.1 in clinical acceptance, challenging assumptions about off-the-shelf AI solutions in healthcare. Background As artificial intelligence increasingly enters clinical practice, radiologists face a…
Researchers have developed a label-free method using autofluorescence imaging and deep learning to diagnose non-small cell lung cancer subtypes without conventional tissue staining, achieving expert-validated accuracy while reducing diagnostic time and costs. Background Accurate subtyping of non-small cell lung cancer…
A new vision-language model demonstrates strong performance in predicting molecular mutations in brain tumors and automatically generating clinical radiology reports from MRI scans. Background Molecular status prediction and radiology report generation are critical for glioma diagnosis but require specialized expertise…
A new study comparing large language models with traditional machine learning reveals that while LLMs show promise for predicting bone cement leakage after spine surgery, they fall short for more complex complications and lack clinical readiness. Background Percutaneous kyphoplasty treats…
A large randomized controlled trial found that real-time AI-assisted colonoscopy did not significantly improve adenoma detection rates compared to traditional colonoscopy, challenging assumptions about computer-aided detection systems in routine clinical practice. Background Computer-aided detection (CAD) systems have been proposed to…
Researchers developed a noninvasive approach using breath and saliva analysis with AI to detect oral squamous cell carcinoma with 92% accuracy, providing an accessible alternative to invasive biopsy. Background Early detection of oral squamous cell carcinoma is critical but challenging…
As mental health AI agents proliferate, Utah has found an innovative regulatory approach that walks the line between fostering innovation and keeping people safe—and other policymakers are paying attention. Background Mental health AI agents (MHAs) are showing up everywhere—from clinical…
