AIMC Topic: Practice Guidelines as Topic

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Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

Scientific reports
This study evaluated large language models (LLMs) using 30 questions, each derived from a recommendation in the 2024 European Society of Cardiology (ESC) guidelines for atrial fibrillation (AF) management. These recommendations were stratified by cla...

A cross-sectional study on ChatGPT's alignment with clinical practice guidelines in musculoskeletal rehabilitation.

BMC musculoskeletal disorders
BACKGROUND: AI models like ChatGPT have the potential to support musculoskeletal rehabilitation by providing clinical insights. However, their alignment with evidence-based guidelines needs evaluation before integration into physiotherapy practice.

Performance of Artificial Intelligence in Addressing Questions Regarding Management of Osteochondritis Dissecans.

Sports health
BACKGROUND: Large language model (LLM)-based artificial intelligence (AI) chatbots, such as ChatGPT and Gemini, have become widespread sources of information. Few studies have evaluated LLM responses to questions about orthopaedic conditions, especia...

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines.

EBioMedicine
BACKGROUND: Soft-tissue and bone tumours (STBT) are rare, diagnostically challenging lesions with variable clinical behaviours and treatment approaches. This systematic review aims to provide an overview of Artificial Intelligence (AI) methods using ...

Eligibility for eCPR Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision-Making.

Artificial organs
AIM OF THE STUDY: Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide inf...

Bing chat for kidney stone management questions based on the AUA guidelines: a comparison of chatbot conversation style modes.

World journal of urology
PURPOSE: Artificial intelligence (AI) technology will inevitably permeate healthcare. Bing Chat is an AI chatbot with different conservation styles. We evaluated each of these response mode answers regarding management of nephrolithiasis.

The double-edged sword of generative AI: surpassing an expert or a deceptive "false friend"?

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: Generative artificial intelligence (AI), ChatGPT being the most popular example, has been extensively assessed for its capability to respond to medical questions, such as queries in spine treatment approaches or technological adva...

Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Large language models (LLMs) have the potential to support clinical decision-making but often lack training on the latest clinical guidelines. Retrieval-augmented generation (RAG) may enhance guideline adherence by dynamically integrating external i...

Redefining prostate cancer care: innovations and future directions in active surveillance.

Current opinion in urology
PURPOSE OF REVIEW: This review provides a critical analysis of recent advancements in active surveillance (AS), emphasizing updates from major international guidelines and their implications for clinical practice.

Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.

Annals of internal medicine
DESCRIPTION: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-t...