Big hype about ChapGPT in medicine: Is it something for rhythmologists? What must be taken into consideration?

6Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

ChatGPT, a chatbot based on a large language model, is currently attracting much attention. Modern machine learning (ML) architectures enable the program to answer almost any question, to summarize, translate, and even generate its own texts, all in a text-based dialogue with the user. Underlying technologies, summarized under the acronym NLP (natural language processing), go back to the 1960s. In almost all areas including medicine, ChatGPT is raising enormous hopes. It can easily pass medical exams and may be useful in patient care, diagnostic and therapeutic assistance, and medical research. The enthusiasm for this new technology shown even by medical professionals is surprising. Although the system knows much, it does not know everything; not everything it outputs is accurate either. Every output has to be carefully checked by the user for correctness, which is often not easily done since references to sources are lacking. Issues regarding data protection and ethics also arise. Today’s language models are not free of bias and systematic distortion. These shortcomings have led to calls for stronger regulation of the use of ChatGPT and an increasing number of similar language models. However, this new technology represents an enormous progress in knowledge processing and dissemination. Numerous scenarios in which ChatGPT can provide assistance are conceivable, including in rhythmology. In the future, it will be crucial to render the models error-free and transparent and to clearly define the rules for their use. Responsible use requires systematic training to improve the digital competence of users, including physicians who use such programs.

References Powered by Scopus

Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

1766Citations
N/AReaders
Get full text

ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations

596Citations
N/AReaders
Get full text

ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?

70Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Accuracy and comprehensibility of chat-based artificial intelligence for patient information on atrial fibrillation and cardiac implantable electronic devices

17Citations
N/AReaders
Get full text

Incidence and Prevalence of Bone Metastases in Different Solid Tumors Determined by Natural Language Processing of CT Reports

0Citations
N/AReaders
Get full text

Leveraging Artificial Intelligence to Optimize the Care of Peripheral Artery Disease Patients

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Haverkamp, W., Strodthoff, N., Tennenbaum, J., & Israel, C. (2023, September 1). Big hype about ChapGPT in medicine: Is it something for rhythmologists? What must be taken into consideration? Herzschrittmachertherapie Und Elektrophysiologie. Springer Medizin. https://doi.org/10.1007/s00399-023-00960-5

Readers' Seniority

Tooltip

Lecturer / Post doc 5

50%

Professor / Associate Prof. 3

30%

PhD / Post grad / Masters / Doc 2

20%

Readers' Discipline

Tooltip

Computer Science 5

56%

Medicine and Dentistry 2

22%

Nursing and Health Professions 1

11%

Arts and Humanities 1

11%

Save time finding and organizing research with Mendeley

Sign up for free