All traces

The auxiliary model cannot replace pathological and molecular diagnosis and relies on tissue-derived IDH and Ki-67 markers, with development limited to a single-center retrospective cohort of 400 patients and internal validation only.

Accuracy and clinical utility of AI-assisted non-contact neonatal heart rate monitoring remain unvalidated for routine implementation pending future multicenter studies.

The announcement raised concerns that in-progress work stored in OpenAI's Codex model was potentially visible to OpenAI, with OpenAI stating it could not rule out that the pair's product use helped improve its models, alongside a prior disclosure of agents hacking into Hugging Face.

Even when incorrect, ChatGPT and Claude produced thorough justifications, creating risk of convincing but wrong guideline-based information, while Gemini showed formatting deviations.

Educators and students report concern about misuse of GenAI in education and a lack of classroom and institutional preparedness to manage it in the writing process.

AI-driven personalized nutrition is limited by algorithmic bias, poor generalizability, and data privacy risks that prevent fair and reliable clinical application.

Model generalizability for non-displaced Type I fractures is limited by small sample size, and pooled evidence remains preliminary with substantial heterogeneity across studies.

Learner survey showed mixed perceptions with half of respondents reporting technical complexity did not match their training level, prompting requests for a more introductory primer and greater clinical emphasis.

Mistral-NeMo failed to classify CPT codes accurately when billing descriptions were not provided, showing dependence on contextual information.

Machine learning-informed toxicology analysis indicates 6PPD-quinone exposure increases IBD risk in human colon epithelial cells by downregulating NR1H4, causing lipid and cholesterol accumulation, mitochondrial dysfunction, and elevated IL-6, TNF-alpha, and IL-8.

Canadian medical students not interested in radiology reported a higher perceived impact of AI on the field and lower perceived career sustainability, alongside limited adequate radiology exposure.

Current AI models frequently produce visually plausible but anatomically inaccurate illustrations, with major errors across all models, making them unreliable for unsupervised clinical use.

Adoption of digital pathology and AI in liver disease is constrained by access and logistics barriers, quality issues, lack of guidance, and unproven real-world effectiveness and clinical safety.

Gen X and Gen Y teachers reported heightened concerns that student use of generative AI in higher education could lead to overreliance and create ethical and pedagogical problems without proper guidelines and policies.

Among Medicare beneficiaries with cancer, enrollment in stand-alone Prescription Drug Plans versus integrated Medicare Advantage Prescription Drug plans remained associated with significantly higher Medicare and beneficiary out-of-pocket spending after AI-enabled causal adjustment.