How to read a paper involving artificial intelligence (AI)

2025/04/01 by H Paul Dijkstra, Trisha Greenhalgh, Yosra Magdi Mekki +1 · 1 voice
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #AI in cancer detection #COVID-19 diagnosis using AI

paper · doi:10.1136/bmjmed-2025-001394

openalex publication_date 2025/04/01 · openalex created_date 2025/04/16 · openalex updated_date 2026/07/21

Abstract

This paper guides readers through the critical appraisal of a paper that includes the use of artificial intelligence (AI) in clinical settings for healthcare delivery. A brief introduction to the different types of AI used in healthcare is given, along with some ethical principles to guide the introduction of AI systems into healthcare. Existing publication guidelines for AI studies are highlighted. Ten preliminary questions to ask about a paper describing an AI based decision support algorithm are suggested.

Citations

• КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ – ОСНОВА ОПТИМИЗАЦИИ МИНИТОРАКОТОМНОГО ДОСТУПА
• Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
• Large language models encode clinical knowledge
• Large language models in medicine
• ChatGPT is bullshit
• Medical large language models are vulnerable to data-poisoning attacks

Discussions

• 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗣𝗮𝗽𝗲𝗿𝘀 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: 𝗔 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗳𝗼𝗿 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗥𝗲𝗮𝗱𝗲𝗿𝘀 Drawing from the latest insights in BMJ Medicine, http [bsky, 4 points, 1 comments]

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• Artificial intelligence in healthcare and education
• The Human Hand Behind the Algorithm: Ethical Perspectives on AI in Clinical Practice
• Artificial intelligence in healthcare: opportunities and risk for future
• The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
• Artificial Intelligence in medical practice: closing the gap for the present and creating opportunities for the future