Turing problems in otolaryngology: a scoping review of the principal challenges of artificial ıntelligence and large language models.

BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

Diverse cloud-scale foundation/multimodal models and locally deployable models suitable for inference on consumer-grade GPUs are evaluated, achieving the highest accuracy of up to 90% on MCQs, similarity score of 0.72 on literature synthesis, and accuracy of 80% on a small sample of multimodal reasoning questions, with...

Evaluating Large Language Models in Clinical Audiology (AUDIOLOGYBENCH): Benchmark Development and Validation Study

Current frontier LLMs show strong recommendation generation but substantial limitations in audiometric numerical interpretation that are shared across models and that an automated adjudicator partially miscalibrated at the per-item level.

Hallucination Rate of Peer-Reviewed Citations Generated by Large Language Models in Neurocritical Care

Under standardized zero-shot, retrieval-disabled web-interface conditions, LLMs generated substantial numbers of inaccurate and fabricated NCC citations, which should be verified across reliable databases before use in clinical, educational, or scholarly work.

Mapping the Influence of Artificial Intelligence in Prosthodontics: A Scoping Review of the Current Trends and Challenges

Background/Objectives: Artificial intelligence (AI) is transforming prosthodontic procedures into data-driven support systems. This scoping review systematically maps the literature using an evidence maturity framework, distinguishing it from recent applications-focused compilations by Aljulayfi, Schwendicke, and other...

Clinical translation of artificial intelligence in hypospadias: a systematic review and meta-analysis

Bridging the Translational Gap in Artificial Intelligence for Otology and Neurotology: Clinical Readiness, Limitations, and Research Priorities

Background and Objectives: Artificial intelligence (AI) has generated numerous proof-of-concept applications in otology and neurotology, but relatively few have progressed to routine clinical use. This narrative review evaluates not only what AI can do across audiovestibular medicine, but also how close individual appl...