JMIR Dermatology is pleased to announce a Call for Papers on the topic “Artificial Intelligence (AI) and Chat Generative Pre-trained Transformer (ChatGPT) in Dermatology.” ChatGPT is a large language model developed by OpenAI based on the GPT architecture that was launched on November 30, 2022 [1]. It is designed to generate human-like responses to natural language inputs and has been trained on a massive corpus of text data from the internet. ChatGPT can be used for a variety of applications, such as chatbots, language translation, text completion, and more. JMIR Dermatology welcomes all topics related to diseases of the skin, hair, and nails, with a wide breadth and depth of papers focusing on AI applications. All topics at the intersection of dermatology, AI, and ChatGPT are eligible for this theme issue.

The journal places a special emphasis on exchanging clinical information, providing education, facilitating diagnosis and care, and promoting dermatological health globally. JMIR Dermatology also is the official journal of the International Society of Teledermatology (ISTD). JMIR Dermatology is PubMed Central/PubMed, Sherpa Romeo, Scopus, DOAJ, and CABI indexed.

Developers, researchers, practitioners, clinicians, and businesses can use ChatGPT to develop chatbots, virtual assistants, recommendation systems, language translation, and other language-based AI applications. Studies have also shown preliminary evidence that ChatGPT has promising applications across the clinical workflow [2]. Moreover, ChatGPT and similar generative AI have specific applications within medical education, including clinical vignette generation [3] and communications training with AI virtual patients [4]; however, they also pose a number of challenges that need to be carefully addressed [5].

Dermatologists can use ChatGPT in clinical practice and research in several ways, including:

Virtual consultations: ChatGPT can be used to provide virtual consultations to patients who cannot visit a dermatologist in person. Dermatologists can program ChatGPT to ask relevant questions about the patient’s skin condition, medical history, and symptoms. Based on the patient’s responses, ChatGPT can provide recommendations or refer the patient to a dermatologist for further evaluation.
Patient recruitment: ChatGPT can be used to identify and recruit patients for clinical trials or research studies. ChatGPT can engage with potential study participants and collect preliminary information about their eligibility and interest in participating in the study.
Literature review: ChatGPT can be used to conduct literature reviews related to dermatology. It can be programmed to search for and analyze relevant articles and summarize the key findings.
Education: Dermatologists can use ChatGPT to educate patients about skin conditions, treatments, and prevention. They can program ChatGPT to provide information about specific skin conditions, recommended treatments, and preventive measures.
Research: ChatGPT can be trained to recognize patterns in the data and provide insights that may not be immediately apparent to the researchers. Natural language processing (NLP) can be used to analyze large amounts of textual data related to dermatology, such as electronic medical records, patient feedback, or social media posts. ChatGPT can be trained to recognize patterns in the data and provide insights into patient experiences, treatment outcomes, and disease prevalence.
Patient follow-up: Dermatologists can use ChatGPT to follow up with patients after a consultation or treatment. ChatGPT can ask patients about their progress and any side effects or new symptoms. Based on the patient's responses, ChatGPT can provide recommendations or refer the patient to a dermatologist for further evaluation.

Overall, ChatGPT can be a valuable tool for dermatologists to improve patient care, increase efficiency, and provide personalized care to patients. However, it is important to note that ChatGPT should not replace the expertise and advice of a qualified dermatologist—it should only be used as a complementary tool. However, it's important to note that ChatGPT should be used in conjunction with other research methods and should not replace the expertise and knowledge of human researchers. As AI technology continues to evolve, there will likely be many more opportunities to improve health care outcomes for patients.

Submission Guidelines

JMIR Dermatology welcomes submissions from researchers and practitioners in dermatology, medicine, health care, computer science, and related fields. Original, unpublished submissions of original research papers, research letters, viewpoints, short papers, literature reviews, and case reports are encouraged. All submissions will undergo a rigorous peer review process, and accepted articles will be published as part of a special issue on AI and ChatGPT in Dermatology.

To submit an article to this JMIR Dermatology theme issue, please click here and select the journal section entitled “Theme Issue (2023): Artificial Intelligence (AI) and ChatGPT (Chat Generative Pre-trained Transformer) in Dermatology.”

Submission Deadline: March 31, 2024 Guest Editors

James A Solomon, MD, PhD, FAAD

Professor, Dermatology University Central Florida College of Medicine

Director, Ameriderm Research

Clinical Professor Dermatology, Florida State University College of Medicine

Clinical Assistant Professor, Carle-Illinois College of Medicine

Ian Brooks, PhD

Director, Center for Health Informatics

The Pan-American Health Organization (PAHO)/World Health Organization (WHO) Collaborating Center on Information Systems for Health

University of Illinois Urbana-Champaign

See the article How do I submit to a theme issue? in our Knowledge Base and consult our Instructions for Authors for more information.

All articles submitted to this theme issue will be shared and published rapidly through the following mechanisms:

Submissions not reviewed or accepted for publication in this JMIR Dermatology theme issue (e-collection) may be offered cascading peer review or transfer to other JMIR journals, according to standard JMIR Publications policies.

Early-stage formative work that informs the design of future interventions or research may better fit the scope for JMIR Formative Research. Authors are encouraged to submit study protocols or grant proposals to JMIR Research Protocols before data acquisition to pre-register the study (Registered Reports - subsequent acceptance in one of the JMIR Publications journals is then guaranteed).

Acknowledgments

This call for papers was, in part, generated using ChatGPT by OpenAI; however, it was edited and enhanced by friendly humans.

References

Eysenbach G. The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers. JMIR Med Educ 2023;9:e46885. doi: 10.2196/46885 PMID: 36863937
Rao A, Pang M, Kim J, Kamineni M, Lie W, Prasad AK, Landman A, Dreyer KJ, Succi MD. Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow. medRxiv. Preprint posted online 2023 Feb 26. doi: 10.1101/2023.02.21.23285886
Benoit JRA. ChatGPT for Clinical Vignette Generation, Revision, and Evaluation. medRxiv. Preprint posted online 2023 Feb 8. doi: 10.1101/2023.02.04.23285478
Shorey S, Ang E, Yap J, Ng ED, Lau ST, Chui CK. A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study. J Med Internet Res 2019 Oct 29;21(10):e14658. doi: 10.2196/14658 PMID: 31663857
Sinhaliz S, Burd L, Du Preez J. How ChatGPT Could Revolutionize Academia - The AI Chatbot Could Enhance Learning, But Also Creates Some Challenges. IEEE Spectrum. 2023 Feb 22. https://spectrum.ieee.org/how-chatgpt-could-revolutionize-academia

This paper is in the following e-collection/theme issue:

Congenital Telangiectatic Erythema: Scoping Review

Congenital Telangiectatic Erythema: Scoping Review