Sholem Hack

Image-Based Diagnosis of Oral Lesions: Performance of a Vision-Language Model versus Human Clinicians.

OBJECTIVE To evaluate the real-world diagnostic performance of a multimodal large language model (LLM) for image-based assessment of oral mucosal lesions compared with clinicians of varying expertise. STUDY DESIGN Prospective international multicenter diagnostic accuracy study. SETTING Twenty university and tertiar...

Minimal Residual Disease in Head and Neck Cancer: Molecular Surveillance and Clinical Action

Sociodemographic bias in LLMs' clinical decision-making for dizziness.

LLM clinical recommendations varied by sociodemographic descriptors, particularly under diagnostic uncertainty, suggesting structured inputs may mitigate bias in clinical AI systems.

Head and Neck Free Flap Reconstruction: Current Landscape and Emerging Technologies.

OBJECTIVE To synthesize contemporary developments in head and neck oncologic free flap reconstruction, with emphasis on perioperative physiologic optimization, digital integration, and functional recovery. DATA SOURCES MEDLINE (PubMed), Scopus, and Embase were searched for English-language human studies published bet...

The AI-educated patient

The concept of the “AI-educated patient” and a related conceptual framework, “soft accountability”, are introduced, describing the informal pressure that may arise when well-informed patients enter consultations with structured expectations.