ChatGPT and Clinical Decision Support: Scope, Application, and Limitations

Ferdush, Jannatul; Begum, Mahbuba; Hossain, Sakib Tanvir

doi:10.1007/s10439-023-03329-4

Cited by 22 publications

(10 citation statements)

References 15 publications

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“…ChatGPT could generate potential diagnoses based on patient symptoms, medical history, and laboratory test results. 23 Despite no statistically significant difference between the GPT-3.5 and GPT-4.0 groups, the results suggested a potential refinement in GPT-4.0’s comprehension and processing of medical information. GPT-4.0 manifests profound grasp of input context, consequently enhancing the accuracy of the generated text.…”

Section: Discussionmentioning

confidence: 71%

Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study

Chen,

Liu,

Ruan

et al. 2023

JMDH

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Objective ChatGPT, an advanced language model developed by OpenAI, holds the opportunity to bring about a transformation in the processing of clinical decision-making within the realm of medicine. Despite the growing popularity of research related on ChatGPT, there is a paucity of research assessing its appropriateness for clinical decision support. Our study delved into ChatGPT’s ability to respond in accordance with the diagnoses found in case reports, with the intention of serving as a reference for clinical decision-making. Methods We included 147 case reports from the Chinese Medical Association Journal Database that generated primary and secondary diagnoses covering various diseases. Each question was independently posed three times to both GPT-3.5 and GPT-4.0, respectively. The results were analyzed regarding ChatGPT’s mean scores and accuracy types. Results GPT-4.0 displayed moderate accuracy in primary diagnoses. With the increasing number of input, a corresponding enhancement in the accuracy of ChatGPT’s outputs became evident. Notably, autoimmune diseases comprised the largest proportion of case reports, and the mean score for primary diagnosis exhibited statistically significant differences in autoimmune diseases. Conclusion Our finding suggested that the potential practicality in utilizing ChatGPT for clinical decision-making. To enhance the accuracy of ChatGPT, it is necessary to integrate it with the existing electronic health record system in the future.

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Section: Discussionmentioning

confidence: 71%

Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study

Chen,

Liu,

Ruan

et al. 2023

JMDH

View full text Add to dashboard Cite

show abstract

“…Hamed’s team, in their evaluation of ChatGPT’s performance in contextualizing and amalgamating clinical guidelines for diabetic ketoacidosis, discerned an alarming array of undisclosed and erroneous assertions, thereby rendering the synthesized guidelines unreliable and disorienting. 49 Future investigations must therefore emphasize augmenting the quantity and enhancing the quality of training data, 50 ensuring regular updates to said data, 51 refining algorithms for medical information analysis, all with the intent of elevating the accuracy and timeliness in ChatGPT’s generation of medical information.…”

Section: Challenges Faced By Chatgptmentioning

confidence: 99%

The Potential Applications and Challenges of ChatGPT in the Medical Field

Mu,

2024

IJGM

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ChatGPT, an AI-driven conversational large language model (LLM), has garnered significant scholarly attention since its inception, owing to its manifold applications in the realm of medical science. This study primarily examines the merits, limitations, anticipated developments, and practical applications of ChatGPT in clinical practice, healthcare, medical education, and medical research. It underscores the necessity for further research and development to enhance its performance and deployment. Moreover, future research avenues encompass ongoing enhancements and standardization of ChatGPT, mitigating its limitations, and exploring its integration and applicability in translational and personalized medicine. Reflecting the narrative nature of this review, a focused literature search was performed to identify relevant publications on ChatGPT’s use in medicine. This process was aimed at gathering a broad spectrum of insights to provide a comprehensive overview of the current state and future prospects of ChatGPT in the medical domain. The objective is to aid healthcare professionals in understanding the groundbreaking advancements associated with the latest artificial intelligence tools, while also acknowledging the opportunities and challenges presented by ChatGPT.

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“…This capability enables the provision of evidence-based best practices to healthcare professionals, facilitating the identification of current operational procedures and the enhancement of operational protocols. Regarding disease diagnosis, ChatGPT can analyze patient data and test results, assisting doctors in diagnosing conditions and offering treatment recommendations [16]. Additionally, it supports healthcare professionals in telemedicine by engaging in real-time communication with patients and providing remote diagnosis and treatment suggestions [17].…”

Section: Clinical Supportmentioning

confidence: 99%

Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies (Preprint)

Xu,

Weng,

Liu

et al. 2024

Preprint

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UNSTRUCTURED ChatGPT, a Generative Pre-trained Transformer, has garnered global attention and sparked discussions since its introduction in early 2023. However, it has stirred controversy within the realms of medical education and scientific research. This paper focuses on exploring the potentials, challenges, and corresponding strategies associated with ChatGPT. ChatGPT offers personalized learning support to medical students through its robust natural language generation capabilities, enabling it to furnish answers. Moreover, it has demonstrated significant utility in simulating clinical scenarios, facilitating teaching and learning processes, and revitalizing medical education. Nevertheless, a myriad of challenges accompany these advancements. In the realm of education, it is imperative to prevent excessive reliance on ChatGPT and combat academic plagiarism. Similarly, in the medical domain, ensuring the timeliness, accuracy, and credibility of ChatGPT-generated content is crucial. Concurrently, ethical challenges and concerns regarding information security arise. In light of these challenges, this paper proposes targeted strategies. Firstly, mitigate the risk of over-reliance on ChatGPT and academic plagiarism through ideological education, fostering comprehensive competencies, and implementing diverse evaluation criteria. Embracing modern educational approaches alongside ChatGPT enhances the overall quality of medical education. Enhance the professionalism and reliability of the generated content by implementing measures such as optimizing ChatGPT's training data professionally and enhancing the transparency of the generation process. This ensures that the generated content aligns with the most recent standards of medical practice. Furthermore, enhancing value alignment and establishing relevant laws or codes of practice address ethical concerns, including algorithmic discrimination, medical responsibility allocation, privacy, and security. In conclusion, while ChatGPT presents significant potential in medical education, it also encounters various challenges. Through comprehensive research and the implementation of suitable strategies, it is anticipated that ChatGPT's positive impact on medical education will be harnessed, laying the groundwork for advancing the discipline and fostering the development of high-caliber medical professionals.

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ChatGPT and Clinical Decision Support: Scope, Application, and Limitations

Cited by 22 publications

References 15 publications

Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study

Are Different Versions of ChatGPT’s Ability Comparable to the Clinical Diagnosis Presented in Case Reports? A Descriptive Study

The Potential Applications and Challenges of ChatGPT in the Medical Field

Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies (Preprint)

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