AIMC Topic: Practice Guidelines as Topic

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Evaluating the quality of ChatGPT-generated medical information on major ophthalmic conditions: A comparative assessment against the EQIP tool and guidelines.

PloS one
BACKGROUND: The use of artificial intelligence for creating medical information is on the rise. Nonetheless, the accuracy and reliability of such information require thorough assessment. As a language model capable of generating text, ChatGPT needs a...

Referential hallucination and clinical reliability in large language models: a comparative analysis using regenerative medicine guidelines for chronic pain.

Rheumatology international
This study compared language models' responses to open-ended questions on regenerative therapy guidelines for chronic pain, assessing their accuracy, reliability, usefulness, readability, semantic similarity, and hallucination rates. This cross-secti...

Multiple large language models versus clinical guidelines for postmenopausal osteoporosis: a comparative study of ChatGPT-3.5, ChatGPT-4.0, ChatGPT-4o, Google Gemini, Google Gemini Advanced, and Microsoft Copilot.

Archives of osteoporosis
UNLABELLED: The study assesses the performance of AI models in evaluating postmenopausal osteoporosis. We found that ChatGPT-4o produced the most appropriate responses, highlighting the potential of AI to enhance clinical decision-making and improve ...

The impact of prompting on ChatGPT's adherence to status epilepticus treatment guidelines.

Scientific reports
This study assessed ChatGPT's adherence to established management guidelines for status epilepticus (SE) from major neurological societies (NCS, AES, EFNS) and examined how prompt specificity affected the quality of its recommendations. Four prompts ...

Immune checkpoint inhibitor-related pneumonitis: From guidelines to the front lines.

Respiratory investigation
Immune checkpoint inhibitors (ICIs) have changed cancer treatment, evoking durable responses in various cancers. However, their immune-mediated mechanisms can lead to unique toxicities known as immune-related adverse events (irAEs), among which ICI-r...

Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study.

Journal of medical Internet research
BACKGROUND: Surgical site infection (SSI) is the most prevalent type of health care-associated infection that leads to increased morbidity and mortality and a significant economic burden. Effective prevention of SSI relies on surgeons strictly follow...

Comparative evaluation of ChatGPT and LLaMA for reliability, quality, and accuracy in familial Mediterranean fever.

European journal of pediatrics
UNLABELLED: Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease. Large language models (LLMs) offer rapid access to medical information. This study evaluated and compared the reliability, quality, and accuracy of ...

[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in medicine has great potential to improve quality and efficiency. At the same time, its use is associated with risks. In order to prevent harm, experts from research and politics are developing requirements, t...

Large language models provide discordant information compared to ophthalmology guidelines.

Scientific reports
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by the American Academy of Ophthalmology (AAO). Open questions based on the AAO PPP were submitted to five LLMs: GPT-o1 and GPT-4o by OpenAI, Claude 3.5...

Appropriateness of acute breast symptom recommendations provided by ChatGPT.

Clinical imaging
PURPOSE: We evaluated the accuracy of ChatGPT-3.5's responses to common questions regarding acute breast symptoms and explored whether using lay language, as opposed to medical language, affected the accuracy of the responses.