{"id":20176,"date":"2025-06-15T08:15:18","date_gmt":"2025-06-15T06:15:18","guid":{"rendered":"https:\/\/prs-healthcare.com\/chatgpt4-vision-in-radiology-promise-limitations-and-vigilance\/"},"modified":"2025-06-22T18:42:02","modified_gmt":"2025-06-22T16:42:02","slug":"chat-gpt4-vision-in-radiology-promise-limitations-and-vigilance","status":"publish","type":"post","link":"https:\/\/prs-healthcare.com\/en\/the-world-of-health\/chat-gpt4-vision-in-radiology-promise-limitations-and-vigilance\/","title":{"rendered":"Chat-GPT4 vision in radiology: promise, limitations, and vigilance"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Although artificial intelligence is advancing rapidly, its applications in medical imaging have not yet met clinical expectations. Chat-GPT4 Vision is the first language model capable of interpreting text and images. It shows promising results in radiology but also has significant limitations, particularly in image interpretation.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Multimodal AI is designed to assist professionals.<\/span><\/h2>\n<p><span style=\"font-weight: 400\"><a href=\"https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision.jpg\" rel=\"prettyPhoto[gallery-4Df1]\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-medium wp-image-20132\" src=\"https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-300x200.jpg\" alt=\"chat gpt 4 vision\" width=\"300\" height=\"200\" srcset=\"https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-300x200.jpg 300w, https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-1024x683.jpg 1024w, https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-768x512.jpg 768w, https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-1536x1024.jpg 1536w, https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision-900x600.jpg 900w, https:\/\/prs-healthcare.com\/wp-content\/uploads\/chat-gpt-4-vision.jpg 1920w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>Chat-GPT4 Vision is a multimodal <a href=\"https:\/\/prs-healthcare.com\/en\/disrumpere-when-ai-helps-ultrasound-in-africa\/\" target=\"_blank\" rel=\"noopener\">AI<\/a> model that can process text and images simultaneously. In concrete terms, this means it can analyze an X-ray image while answering a question formulated in natural language. This is a promising advance, particularly in a field where images are at the heart of analysis.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">A Rigorous Study to Test Chat-GPT-4 Vision<\/span><\/h2>\n<p><span style=\"font-weight: 400\"><a href=\"https:\/\/www.thema-radiologie.fr\/actualites\/3957\/la-lecture-des-images-radiologiques-toujours-pas-au-point-pour-chat-gpt4-vision.html\" target=\"_blank\" rel=\"noopener\">An American team<\/a> gave Chat-GPT4 Vision 377 questions from diagnostic radiology training exams, nearly half of which were image-based. Overall, the model answered 65.3% of the questions correctly, but there was a significant disparity:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\">81.5% for text questions and<\/span><\/li>\n<li><span style=\"font-weight: 400\">and 47.8% for visual questions.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Textual comprehension is an undeniable strength.<\/span><\/h2>\n<p><span style=\"font-weight: 400\">When it comes to analyzing written information, Chat-GPT4 Vision performs very well. It can:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\">-synthesize reports,<\/span><\/li>\n<li><span style=\"font-weight: 400\">popularize complex data,<\/span><\/li>\n<li><span style=\"font-weight: 400\">and assist with medical writing.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">In other words, it can support radiologists in their documentation work.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Image reading: uneven performance<\/span><\/h2>\n<p><span style=\"font-weight: 400\">When it comes to images, performance takes a nosedive. While results are satisfactory in some specialties, such as thoracic radiology (up to 69%), Chat-GPT4 Vision performs poorly in nuclear medicine.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Causes:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\">Limited visual analysis:<\/span><\/li>\n<li><span style=\"font-weight: 400\">Lack of specific medical training.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Hallucinations (plausible yet false errors).<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">Hallucinations pose a significant clinical risk.<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Some incorrect answers are given with confidence. The danger lies in false but convincing interpretations that are difficult for a non-specialist to detect.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This underscores the fact that radiological interpretation remains a contextualized medical skill that is difficult to replicate exactly.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">The Role of Prompts: A Limited Performance Lever<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Researchers tested different types of wording to see if prompting would improve the results.<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\">Simple prompts:<\/span><\/li>\n<li><span style=\"font-weight: 400\">Step-by-step reasoning (&#8220;chain of thought&#8221;),<\/span><\/li>\n<li><span style=\"font-weight: 400\">long formulation.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">The result was a slight improvement only on text questions. There was no noticeable improvement on images. Even worse, Chat-GPT-4 Vision refused to answer over 120 questions, most of which included images.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">It has real potential, but use with caution.<\/span><\/h2>\n<h3><span style=\"font-weight: 400\">Positive points:<\/span><\/h3>\n<ul>\n<li><span style=\"font-weight: 400\">Good command of textual content.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Potential use as a teaching tool or documentary aid.<\/span><\/li>\n<\/ul>\n<h3><span style=\"font-weight: 400\">Current limitations:<\/span><\/h3>\n<ul>\n<li><span style=\"font-weight: 400\">Unstable image reading<\/span><\/li>\n<li><span style=\"font-weight: 400\">Risk of serious errors.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Frequent response refusals.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400\">What prospects are there for a trusted radiology AI?<\/span><\/h2>\n<p><span style=\"font-weight: 400\">To make progress, we need to:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\">Integrate specialized radiology databases.<\/span><\/li>\n<li><span style=\"font-weight: 400\">Train the AI with validated clinical cases.<\/span><\/li>\n<li><span style=\"font-weight: 400\">establish safeguards for use.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">AI development in radiology is a path to the future that requires rigor, ethics, and scientific validation.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">In conclusion<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Chat-GPT4 Vision does not replace radiologists. It can assist, document, and explain, but it cannot see. Its reliability in medical imaging remains to be seen. For now, caution is advised.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Although artificial intelligence is advancing rapidly, its applications in medical imaging have not yet met clinical expectations. Chat-GPT4 Vision is the first language model capable of interpreting text and images&#8230;.<\/p>\n","protected":false},"author":8,"featured_media":20132,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_joinchat":[],"footnotes":""},"categories":[773],"tags":[825],"class_list":["post-20176","post","type-post","status-publish","format-standard","has-post-thumbnail","category-the-world-of-health","tag-chat-gpt4-vision-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Chat-GPT4 vision in radiology: promise, limitations, and vigilance | PRS Healthcare<\/title>\n<meta name=\"description\" content=\"Chat-GPT4 Vision, the first language model capable of interpreting both text and images, shows promising results in radiology\" \/>\n<meta name=\"robots\" content=\"index, follow, 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