Objective: To evaluate the quality of the answers and the references provided by ChatGPT for medical questions. Patients and Methods: Three researchers asked ChatGPT 20 medical questions and prompted it to provide the corresponding references. The responses were evaluated for the quality of content by medical experts using a verbal numeric scale going from 0%…
Mayo Clinic Proceedings Digital Health Template
Write in a clean editor, then format for Mayo Clinic Proceedings Digital Health in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Mayo Clinic Proceedings Digital Health format
Mayo Clinic Proceedings Digital Health is a peer-reviewed journal published by Elsevier, covering Artificial Intelligence in Healthcare and Education, Mobile Health and mHealth Applications, Telemedicine and Telehealth Implementation.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Mayo Clinic Proceedings Digital Health 12 (2023) 45–58.
Formats any DOI in Mayo Clinic Proceedings Digital Health style. No sign-up. |
| Publishes research in | Artificial Intelligence in Healthcare and Education Mobile Health and mHealth Applications Telemedicine and Telehealth Implementation Diverse Scientific and Economic Studies Digital Mental Health Interventions |
| ISSN | 2949-7612 |
| Citation impact (2-yr) | 4.65 |
| h-index | 22 |
| i10-index | 63 |
| Total citations | 2,209 |
| Open access | Yes |
| Top institutions publishing here | Mayo Clinic in Arizona |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Mayo Clinic Proceedings Digital Health per year
Citation impact of Mayo Clinic Proceedings Digital Health by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Mayo Clinic Proceedings Digital Health
Large language models (LLMs) are a type of artificial intelligence, which operate by predicting and assembling sequences of words that are statistically likely to follow from a given text input. With this basic ability, LLMs are able to answer complex questions and follow extremely complex instructions. Products created using LLMs such as ChatGPT by OpenAI…
This review aimed to specify different concepts that are essential to the development of medical devices (MDs) with artificial intelligence (AI) (AI-based MDs) and shed light on how algorithm performance, interpretability, and explainability are key assets. First, a literature review was performed to determine the key criteria needed for a health technology assessment of AI-based…
The growing burden of medical documentation, particularly with the widespread adoption of electronic health records (EHRs), has contributed to physician burnout and decreased job satisfaction.1 The intricate structure of medical notes, combined with the time-consuming data entry process,2 and physicians’ often limited typing proficiency, has considerably impeded their ability to prioritize patient care.3 The recent…
Objectives: To evaluate the feasibility and effectiveness of employing a large language model (LLM), particularly the chat generative pretrained transformer (ChatGPT), as a supporting and educational tool for plastic surgeons. Patients and Methods: The study involved generating operative notes for plastic surgery procedures using ChatGPT-4 and comparing them with handwritten or computer-written notes for the…