Implications of large language models such as ChatGPT for dental medicine.

J Esthet Restor Dent

Department of Preventive and Restorative Sciences, Penn Dental Medicine, Robert Schattner Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Published: October 2023

Objective: This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine.

Overview: ChatGPT, a LLM trained on massive amounts of textual data, is adept at fulfilling various language-related tasks. Despite its impressive capabilities, ChatGPT has serious limitations, such as occasionally giving incorrect answers, producing nonsensical content, and presenting misinformation as fact. Dental practitioners, assistants, and hygienists are not likely to be significantly impacted by LLMs. However, LLMs could affect the work of administrative personnel and the provision of dental telemedicine. LLMs offer potential for clinical decision support, text summarization, efficient writing, and multilingual communication. As more people seek health information from LLMs, it is crucial to safeguard against inaccurate, outdated, and biased responses to health-related queries. LLMs pose challenges for patient data confidentiality and cybersecurity that must be tackled. In dental education, LLMs present fewer challenges than in other academic fields. LLMs can enhance academic writing fluency, but acceptable usage boundaries in science need to be established.

Conclusions: While LLMs such as ChatGPT may have various useful applications in dental medicine, they come with risks of malicious use and serious limitations, including the potential for misinformation.

Clinical Significance: Along with the potential benefits of using LLMs as an additional tool in dental medicine, it is crucial to carefully consider the limitations and potential risks inherent in such artificial intelligence technologies.

Download full-text PDF

Source
http://dx.doi.org/10.1111/jerd.13046DOI Listing

Publication Analysis

Top Keywords

dental medicine
12
llms
10
large language
8
language models
8
serious limitations
8
dental
7
chatgpt
5
implications large
4
models chatgpt
4
chatgpt dental
4

Similar Publications

Importance: Dual-eligible older adults rely on Medicaid to pay for Medicare premiums and cost sharing in addition to supplemental services including dental and long-term care. However, the unique experiences of dual-eligible older adults with Medicaid unwinding remain unknown.

Objective: To assess the awareness and experiences of dual-eligible older adults with Medicaid redetermination.

View Article and Find Full Text PDF

Safer chemical alternatives to bisphenol (BP) have been a major pursuit of modern green chemistry and toxicology. Using a chemical similarity-based approach, it is difficult to identify minor structural differences that contribute to the significant changes of toxicity. Here, we used omics and computational toxicology to identify chemical features associated with BP analogue-induced embryonic toxicity, offering valuable insights to inform the design of safer chemical alternatives.

View Article and Find Full Text PDF

Barriers to and facilitators of point-of-care ultrasound utilization among physicians, nurse practitioners, and nurses in Japan: a comparative study.

Ultrasound J

January 2025

Department of General Medicine, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.

Background: Point-of-care ultrasound (POCUS) is a valuable skill for generalist physicians, nurse practitioners (NPs), and nurses; however, its utilization remains limited. This study was performed to investigate the current status, barriers, and facilitators of POCUS implementation among physicians, NPs, and nurses in family and hospital medicine in Japan and to identify differences in influencing factors between physicians and NPs/nurses.

Results: A web-based survey was distributed via the mailing lists of four major academic societies in general medicine in Japan-the Japanese Society of Hospital General Medicine, the Japan Primary Care Association, the Japanese Association for Home Care Medicine, and the Japan Society of Nurse Practitioner-from April to June 2024.

View Article and Find Full Text PDF

Purpose: This systematic review aimed to assess the updated literature for the prevention of salivary gland hypofunction and xerostomia induced by non-surgical cancer therapies.

Methods: Electronic databases of MEDLINE/PubMed, EMBASE, and Cochrane Library were searched for randomized controlled trials (RCT) that investigated interventions to prevent salivary gland hypofunction and/or xerostomia. Literature search began from the 2010 systematic review publications from the Multinational Association of Supportive Care in Cancer/International Society of Oral Oncology (MASCC/ISOO) up to February 2024.

View Article and Find Full Text PDF

This study discusses disseminated intravascular coagulation (DIC) associated with solid cancers and various vascular abnormalities, both of which generally exhibit chronic DIC patterns. Solid cancers are among the most significant underlying diseases that induce DIC. However, the severity, bleeding tendency, and progression of DIC vary considerably depending on the type and stage of the cancer, making generalization difficult.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!