Techniques in Coloproctology, Journal Year: 2025, Volume and Issue: 29(1)
Published: Jan. 26, 2025
Language: Английский
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
23
Dental Traumatology, Journal Year: 2024, Volume and Issue: 40(6), P. 722 - 729
Published: May 14, 2024
This study assessed the consistency and accuracy of responses provided by two artificial intelligence (AI) applications, ChatGPT Google Bard (Gemini), to questions related dental trauma.
Language: Английский
Citations
21
Osteoporosis International, Journal Year: 2025, Volume and Issue: 36(3), P. 403 - 410
Published: Jan. 8, 2025
Language: Английский
Citations
2
Children, Journal Year: 2024, Volume and Issue: 11(6), P. 750 - 750
Published: June 20, 2024
Large language models (LLMs) are becoming increasingly important as they being used more frequently for providing medical information. Our aim is to evaluate the effectiveness of electronic artificial intelligence (AI) large (LLMs), such ChatGPT-4, BingAI, and Gemini in responding patient inquiries about retinopathy prematurity (ROP).
Language: Английский
Citations
11
Frontiers in Medicine, Journal Year: 2024, Volume and Issue: 11
Published: Oct. 29, 2024
Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet Anthropic, Gemini Google. This scoping review aims to synthesize the current applications potential uses in patient education engagement.
Language: Английский
Citations
9
Surgery, Journal Year: 2025, Volume and Issue: 180, P. 109024 - 109024
Published: Jan. 4, 2025
Language: Английский
Citations
1
Information Development, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 25, 2025
Purpose – Artificial Intelligence (AI) is increasingly becoming a popular source of information, including health information. It essential to explore the adoption AI achieve Health Information Literacy (HIL) and ensure that users maximise use This study explores AI's in advancing HIL. identifies gaps, concerns, challenges suggests areas where could be improved. Approach The retrieved papers were initially assessed based on title abstract inclusion criteria. full text relevant was verified following exclusion Additionally, comprehensive assessment reference lists included performed. extracted from selected articles, bibliometric thematic analysis applied for thorough examination. Methodology Key details about author, publication year, type, purpose, key findings, collected using standardised format. As themes emerged, information publications address main research questions. All articles reviewed English published between 2019 2024. Findings growing HIL can accounted by growth 128.13% publications. However, concerns must addressed as continuous guaranteed. Originality likely first assess current findings will provide clear landscape investing, identifying partners, providing gap.
Language: Английский
Citations
1
The Journal of Hand Surgery (Asian-Pacific Volume), Journal Year: 2024, Volume and Issue: 29(02), P. 81 - 87
Published: March 26, 2024
Artificial intelligence (AI) has witnessed significant advancements, reshaping various industries, including healthcare. The introduction of ChatGPT by OpenAI in November 2022 marked a pivotal moment, showcasing the potential generative AI revolutionising patient care, diagnosis and treatment. Generative AI, unlike traditional systems, possesses ability to generate new content understanding patterns within datasets. This article explores evolution healthcare, tracing its roots term coined John McCarthy 1955 contributions pioneers like Von Neumann Alan Turing. Currently, particularly Large Language Models, holds promise across three broad categories healthcare: education research. In it offers solutions clinical document management, diagnostic support operative planning. Notable advancements include Microsoft’s collaboration with Epic for integrating into electronic medical records (EMRs), enhancing data management care. Furthermore, aids surgical decision-making, as demonstrated plastic, orthopaedic hepatobiliary surgeries. However, challenges such bias, hallucination integration EMR systems necessitate caution ongoing evaluation. also presents insights from implementation NUHS Russell-GPT, chatbot, hand surgery department, utility administrative tasks but highlighting planning integration. survey showed unanimous incorporating settings, all respondents being open use. conclusion, is poised enhance care ease physician workloads, starting automating evolving inform diagnoses, tailored treatment plans, well aid As healthcare navigate complexities benefits both physicians patients remain significant, offering glimpse future where transforms delivery. Level Evidence: V (Diagnostic)
Language: Английский
Citations
7
Otolaryngology, Journal Year: 2024, Volume and Issue: 171(6), P. 1751 - 1757
Published: Aug. 6, 2024
To use an artificial intelligence (AI)-powered large language model (LLM) to improve readability of patient handouts.
Language: Английский
Citations
7
Journal of Evaluation in Clinical Practice, Journal Year: 2024, Volume and Issue: 30(8), P. 1556 - 1564
Published: July 3, 2024
Artificial Intelligence (AI) large language models (LLM) are tools capable of generating human-like text responses to user queries across topics. The use these in various medical contexts is currently being studied. However, the performance and content quality have not been evaluated specific fields.
Language: Английский
Citations
5