Articles related to ARTIFICIAL INTELLIGENCE (AI)

Accreditors described new programs for artificial intelligence and immunoglobulin services, revised oncology dispensing materials, and more frequent DMEPOS surveys, with differing eligibility, payer recognition, and compliance implications across specialty pharmacy settings.

Ophthalmologists described using conversational AI for cataract assessments, patient education, and postoperative symptom monitoring at AAO 2026, while emphasizing that clinical validation, safety safeguards, and physician oversight remain essential as these tools enter practice.

Personalized models using wearable data forecast sedentary bouts in women with chronic pelvic pain, primarily endometriosis. Simpler models performed comparably to deep learning, but benefits from prediction-guided movement prompts remain untested.

Healthcare leaders speaking at AXS26 argued that artificial intelligence tools affecting patient care require stronger oversight, including independent validation, bias monitoring, and human review. The discussion highlighted both operational opportunities and safety concerns surrounding healthcare AI adoption.

Artificial intelligence tools are increasingly being integrated into prostate cancer imaging, pathology, prognostication, and treatment planning. Although several platforms have demonstrated promising accuracy and workflow benefits, broad clinical adoption will require prospective validation, regulatory oversight, and careful implementation.

As generative artificial intelligence enters neurology practice, professional organizations and emerging evidence emphasize physician oversight, documentation, privacy compliance, and independent clinical judgment amid ongoing concerns about hallucinations, liability, and patient safety.