The potential impact of ChatGPT in clinical and translational medicine

AI models may help in clinical decision support, clinical trial recruitment, clinical data management, research support, patient education and other fields.5,6 In some cases, AI models can automate certain tasks performed by humans, such as data analysis, image acquisition and interpretation.7,8 This may increase the efficiency and reduce the workload of healthcare professionals, allowing them to focus on higher level tasks that require their expertise and clinical judgement. [...]it can only give general and vague answers in some existing medical-related conversations.14 Some experts present conversations with ChatGPT online for case studies and they find that the diagnoses made by ChatGPT are often not comprehensive and adequate. [...]blindly relying on the diagnosis and guidance of ChatGPT may have the potential risk of inaccurate diagnosis or delayed treatment. Furthermore, Fijačko et al. pointed out that ChatGPT without specific courses or training in medical knowledge could not pass the life-support exam, suggesting that ChatGPT may not be capable enough for life support in clinical applications.15 This evidence implies that ChatGPT may not be capable of independently handling the complex work of clinical practice in the current version. [...]focusing on the application of ChatGPT in human–computer interaction may improve its usability in clinical practice.