Results 191 to 200 of about 239,466 (252)

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source

Assessing the performance of large language models (LLMs) in answering medical questions regarding breast cancer in the Chinese context. [PDF]

Digit Health
Piao Y, Chen H, Wu S, Li X, Li Z, Yang D.   +5 more
europepmc   +1 more source

Ambient technology in epilepsy clinical practice

Epilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan, Justin F. Rousseau, Lidia M. Moura, Irfan S. Sheikh   +3 more
wiley   +1 more source

Evaluating the impact of an AI‐powered chatbot on epilepsy education and stigma reduction: A pre‐post intervention study using EpiloBot

Epilepsia Open, EarlyView.
Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi, Ryoya Oba, Naoki Nozawa, Tomoki Ishihara, Koko Oga, Takayuki Iwayama, Takafumi Shiganami, Sayaka Kobayashi, Hironori Kuga, Haruo Yoshimasu, Keiichi Watanuki   +10 more
wiley   +1 more source

Can Large Language Models (LLMs) Predict the Appropriate Treatment of Acute Hip Fractures in Older Adults? Comparing Appropriate Use Criteria With Recommendations From ChatGPT. [PDF]

J Am Acad Orthop Surg Glob Res Rev
Nietsch KS, Shrestha N, Mazudie Ndjonko LC, Ahmed W, Mejia MR, Zaidat B, Ren R, Duey AH, Li SQ, Kim JS, Hidden KA, Cho SK.   +11 more
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments. [PDF]

Surgery
Beaulieu-Jones BR, Berrigan MT, Shah S, Marwaha JS, Lai SL, Brat GA.   +5 more
europepmc   +1 more source

ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions

Future in Educational Research, EarlyView.
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley   +1 more source

Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study. [PDF]

JMIR Form Res
Hu R, Yang Y, Yang Y, Kong J, Luo J, Yang W, Chen J, Liu J, Zeng H, Zhang L, Liu Z.   +10 more
europepmc   +1 more source

Artificial Intelligence Performance Under Different Conditions in Answering China's Standardized Training Examination for Resident Physician in Radiology: A Comparative Analysis

Health Care Science, EarlyView.
Large language models (LLMs) demonstrated variable proficiency in resident physician in radiology questions, with Gemini‐2.0 showing higher accuracy. Repeated self‐examination of LLMs through the introduction of doubt does not consistently or significantly enhance their performance on radiology‐related questions. ABSTRACT Background The capabilities of
Zheng Zhu, Yanfeng Zhao, Lin Li, Xiaoyi Wang, Yongming Zhang, Xinming Zhao   +5 more
wiley   +1 more source