AIMC Topic: Clinical Reasoning

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Clinical reasoning using ChatGPT: Is it beyond credibility for physiotherapists use?

Physiotherapy theory and practice
BACKGROUND: Artificial Intelligence (AI) tools are gaining popularity in healthcare. OpenAI released ChatGPT on November 30, 2022. ChatGPT is a language model that comprehends and generates human language, providing instant data analysis and recommen...

Enhancing clinical reasoning with Chat Generative Pre-trained Transformer: a practical guide.

Diagnosis (Berlin, Germany)
OBJECTIVES: This study aimed to elucidate effective methodologies for utilizing the generative artificial intelligence (AI) system, namely the Chat Generative Pre-trained Transformer (ChatGPT), in improving clinical reasoning abilities among clinicia...

"Cephalgia" or "migraine"? Solving the headache of assessing clinical reasoning using natural language processing.

Diagnosis (Berlin, Germany)
In this op-ed, we discuss the advantages of leveraging natural language processing (NLP) in the assessment of clinical reasoning. Clinical reasoning is a complex competency that cannot be easily assessed using multiple-choice questions. Constructed-r...

[Do artificial intelligence systems reason in the same way as clinicians when making diagnoses?].

La Revue de medecine interne
Clinical reasoning is at the heart of physicians' competence, as it allows them to make diagnoses. However, diagnostic errors are common, due to the existence of reasoning biases. Artificial intelligence is undergoing unprecedented development in thi...

Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning.

Medical teacher
Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver healthcare. One of its most significant and challenging contributions is likely to be in diagnosis. Artificial intelligence is challenging the physician's...

Chain of Thought Strategy for Smaller LLMs for Medical Reasoning.

Studies in health technology and informatics
This paper investigates the application of Chain of Thought (CoT) reasoning to enhance the performance of smaller language models in medical question-answering tasks. By leveraging CoT prompting strategies, we aim to improve model accuracy and interp...

The Advanced Reasoning Capabilities of Large Language Models for Detecting Contraindicated Options in Medical Exams.

JMIR medical informatics
Enhancing clinical reasoning and reducing diagnostic errors are essential in medical practice; OpenAI-o1, with advanced reasoning capabilities, performed better than GPT-4 on 15 Japanese National Medical Licensing Examination questions (accuracy: 100...

Enhancing Arden-Syntax-Based Clinical Reasoning with Ontologies.

Studies in health technology and informatics
We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be ide...