Leveraging ChatGPT and Large Language Models for Healthcare Advancements: Applications, Challenges, and Future Directions

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: 30 June 2024 | Viewed by 349

Special Issue Editors

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Guest Editor
Unit of Anesthesiology, Intensive Care Medicine and Pain Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
Interests: awareness anesthesia; anesthesia brain monitoring; memory and anesthesia; postoperative delirium; postoperative cognitive dysfunction; opioids research; pain assessment
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
Interests: vascular surgery; anaesthesia

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Guest Editor
1. University Hospital “San Giovanni di Dio e Ruggi d’Aragona”, 84131 Salerno, Italy
2. Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84084 Fisciano, Italy
Interests: sepsis; trauma; heart and lung failure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The emergence of large language models (LLMs), with their natural language understanding capabilities, hold immense potential for transforming healthcare practices, diagnosis, treatment, and patient engagement. Notably, in healthcare, LLMs can be implemented for a multitude of applications such as medical diagnosis through natural language interactions, personalized patient education, automated medical record analysis, drug discovery, and sentiment analysis of patient feedback. However, while LLMs offer groundbreaking possibilities, challenges such as ethical considerations, patient privacy, model biases, and ensuring clinical accuracy necessitate thorough exploration.

Given these premises, the proposed Special Issue aims to explore the transformative role and impact of LLMs, including ChatGPT, on healthcare and the challenges that accompany their integration, by inviting scholars and practitioners from the fields of natural language processing, healthcare, and artificial intelligence to share their findings and exchange their insightful ideas. We believe that with your contributions this Special Issue will serve as an authoritative and indispensable resource for researchers, professionals, and the healthcare community at large.

Dr. Marco Cascella
Prof. Dr. Elena G. Bignami
Prof. Dr. Ornella Piazza
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • ChatGPT
  • artificial intelligence
  • large language models
  • healthcare

Published Papers

This special issue is now open for submission.
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