BMC Medical Informatics and Decision Making, Journal Year: 2024, Volume and Issue: 24(1)
Published: Sept. 9, 2024
Language: Английский
International Journal of Medical Informatics, Journal Year: 2024, Volume and Issue: 188, P. 105474 - 105474
Published: May 8, 2024
Language: Английский
Citations
41
Journal of University Teaching and Learning Practice, Journal Year: 2024, Volume and Issue: 21(06)
Published: April 19, 2024
Higher education is currently under a significant transformation due to the emergence of generative artificial intelligence (GenAI) technologies, hype surrounding GenAI and increasing influence educational technology business groups over tertiary education. This commentary, prepared for Special Issue Journal University Teaching & Learning Practice (JUTLP) on “Enhancing student engagement using Artificial Intelligence (AI) chatbots,” delves into complex landscape opportunities threats that AI chatbots, including ChatGPT, introduce realm higher We argue while offers promise in enhancing pedagogy, research, administration, support, concerns around academic integrity, labour displacement, embedded biases, environmental sustainability, increased commercialisation, regulatory gaps necessitate critical approach. Our commentary advocates development literacy among educators students, emphasising necessity foster an environment responsible innovation informed use AI. posit successful integration must be grounded principles ethics, equity, prioritisation aims human values. By offering nuanced exploration these issues, our contribute ongoing discourse how institutions can navigate rise GenAI, ensuring technological advancements benefit all stakeholders upholding core
Language: Английский
Citations
33
JMIR Medical Informatics, Journal Year: 2024, Volume and Issue: 12, P. e53787 - e53787
Published: April 5, 2024
Background Artificial intelligence (AI), more specifically large language models (LLMs), holds significant potential in revolutionizing emergency care delivery by optimizing clinical workflows and enhancing the quality of decision-making. Although enthusiasm for integrating LLMs into medicine (EM) is growing, existing literature characterized a disparate collection individual studies, conceptual analyses, preliminary implementations. Given these complexities gaps understanding, cohesive framework needed to comprehend body knowledge on application EM. Objective absence comprehensive exploring roles EM, this scoping review aims systematically map LLMs’ applications within EM identify directions future research. Addressing gap will allow informed advancements field. Methods Using PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses extension Scoping Reviews) criteria, we searched Ovid MEDLINE, Embase, Web Science, Google Scholar papers published between January 2018 August 2023 that discussed use We excluded other forms AI. A total 1994 unique titles abstracts were screened, each full-text paper was independently reviewed 2 authors. Data abstracted independently, 5 authors performed collaborative quantitative qualitative synthesis data. Results 43 included. Studies predominantly from 2022 conducted United States China. uncovered four major themes: (1) decision-making support highlighted as pivotal area, with playing substantial role patient care, notably through their real-time triage, allowing early recognition urgency; (2) efficiency, workflow, information management demonstrated capacity significantly boost operational particularly automation record synthesis, which could reduce administrative burden enhance patient-centric care; (3) risks, ethics, transparency identified areas concern, especially regarding reliability outputs, specific studies challenges ensuring unbiased amidst potentially flawed training data sets, stressing importance thorough validation ethical oversight; (4) education communication possibilities included enrich medical training, such using simulated interactions skills. Conclusions have fundamentally transform decision-making, workflows, improving outcomes. This sets stage identifying key research areas: prospective LLM applications, establishing standards responsible use, understanding provider perceptions, physicians’ AI literacy. Effective integration require efforts evaluation ensure technologies can be safely effectively applied.
Language: Английский
Citations
31
Medical Teacher, Journal Year: 2024, Volume and Issue: 46(6), P. 752 - 756
Published: Jan. 29, 2024
The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators apply capabilities of ChatGPT administrative assistants, online tutors, virtual patients, more, support clinical non-clinical teaching environments. To achieve this correctly, however, requires some skills, 12-Tips paper provides those: we explain how construct data sources, build relevant GPTs, basic security.
Language: Английский
Citations
25
Journal of Educational Evaluation for Health Professions, Journal Year: 2024, Volume and Issue: 21, P. 6 - 6
Published: March 15, 2024
ChatGPT is a large language model (LLM) based on artificial intelligence (AI) capable of responding in multiple languages and generating nuanced highly complex responses. While holds promising applications medical education, its limitations potential risks cannot be ignored.
Language: Английский
Citations
24
JMIR Medical Informatics, Journal Year: 2024, Volume and Issue: 12, P. e54345 - e54345
Published: July 3, 2024
Artificial intelligence (AI) chatbots have recently gained use in medical practice by health care practitioners. Interestingly, the output of these AI was found to varying degrees hallucination content and references. Such hallucinations generate doubts about their implementation.
Language: Английский
Citations
22
Journal of Medical Systems, Journal Year: 2024, Volume and Issue: 48(1)
Published: May 23, 2024
Language: Английский
Citations
19
JMIR Medical Education, Journal Year: 2024, Volume and Issue: 10, P. e52155 - e52155
Published: Jan. 29, 2024
Our research letter investigates the potential, as well current limitations, of widely available text-to-image tools in generating images for medical education. We focused on illustrations important physical signs face (for which confidentiality issues conventional patient photograph use may be a particular concern) that medics should know about, and we used facial hypothyroidism Horner syndrome examples.
Language: Английский
Citations
15
European Archives of Oto-Rhino-Laryngology, Journal Year: 2024, Volume and Issue: 281(4), P. 2115 - 2122
Published: Feb. 8, 2024
Language: Английский
Citations
15
BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)
Published: Jan. 27, 2025
Language: Английский
Citations
4