AIMC Topic: Neurology

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Health Equity Considerations in the Age of Artificial Intelligence.

Neurology
Artificial intelligence (AI) is rapidly reshaping neurology, offering opportunities to improve efficiency, expand access to care, and enhance clinical decision making. Yet, without deliberate safeguards, AI can perpetuate or exacerbate existing healt...

AI-generated neurology consultation summaries improve efficiency and reduce documentation burden in the emergency department.

Scientific reports
Physicians face a significant documentation burden, spending twice as much time on electronic health records (EHRs) as on direct patient care. Consultation summary reports from the emergency department (ED) are critical for continuity of care and cli...

Evaluating Web Retrieval-Assisted Large Language Models With and Without Whitelisting for Evidence-Based Neurology: Comparative Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) coupled with real-time web retrieval are reshaping how clinicians and patients locate medical evidence, and as major search providers fuse LLMs into their interfaces, this hybrid approach might become the new ...

Evaluating the diagnostic performance of OpenBioLLM in neurology: A case-based assessment of a medical large language model.

PloS one
In the evolving field of neurological healthcare, deep learning technologies are gaining recognition for their potential to enhance diagnostic accuracy. Transformer-based models, particularly large language models (LLMs) such as OpenBioLLM, have show...

Large Language Models in Neurological Practice: Real-World Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) such as ChatGPT (OpenAI) and Gemini (Google) are increasingly explored for their potential in medical diagnostics, including neurology. Their real-world applicability remains inadequately assessed, particularl...

Large Language Models in Neurology Treatment Decision-Making: a Scoping Review.

Journal of medical systems
This scoping review evaluates the expanding role of large language models (LLMs) in neurology, an area drawing growing interest of researchers and clinicians alike. A substantial existing body of literature supports the efficacy of LLMs for diagnosti...

Medical simulation: an essential tool for training, diagnosis, and treatment in the 21st century.

BMC medical education
BACKGROUND: Medical simulation is a global trend that improves disease interpretation, diagnostic skills, and clinical abilities, transforming them into skills for the practitioner. Simulator classes should be part of continuing medical education, ge...

Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.

The neurologist
OBJECTIVES: Neurological emergencies pose significant challenges in medical care in resource-limited countries. Artificial intelligence (AI), particularly health chatbots, offers a promising solution. Rigorous validation is required to ensure safety ...

Documentation, Coding, and Billing for Neurologic Services and Procedures.

Seminars in neurology
Documentation, coding, and billing (claims submission) are foundational to neurologic practice in the United States, enabling accurate reimbursement, effective communication, and data-driven advancements in patient care, research, and education. Neur...

Population Health in Neurology and the Transformative Promise of Artificial Intelligence and Large Language Models.

Seminars in neurology
This manuscript examines the expanding role of population health strategies in neurology, emphasizing systemic approaches that address neurological health at a community-wide level. Key themes include interdisciplinary training in public health, poli...