Results 251 to 260 of about 186,001 (296)

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

Prompting large language models and evaluating inter- and intra-rater agreement for cancer progression assessment from radiology reports. [PDF]

ESMO Real World Data Digit Oncol
Kristjánsson TÓ, Henriksen AF, Hansen ML, Kovacs DG, Bjerrum A.   +4 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

Classification of decomposed neural data in memory networks and LLM-based stimuli processing. [PDF]

Brain Imaging Behav
Shahzaib M, Farooq SZ, Schumacher EH, Keilholz SD, Shakil S.   +4 more
europepmc   +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

Large language models for thematic analysis in healthcare research: A blinded mixed-methods comparison with human analysts. [PDF]

PLOS Digit Health
Hill C, Dahil A, Simpson G, Hardisty D, Keast J, Pinn CK, Dambha-Miller H.   +6 more
europepmc   +1 more source

Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study. [PDF]

JMIR AI
Bigan E, Dufour S.
europepmc   +1 more source

MEDAI-LLM-SUMM: a reporting checklist for medical text summarization studies using large language models. [PDF]

Front Digit Health
Khoruzhaya AN, Varyukhina MD, Erizhokov RA, Blokhin IA, Reshetnikov RV, Kodenko MR, Pamova AP, Burtsev TA, Arzamasov KM, Omelyanskaya OV, Vladzymyrskyy AV, Vasilev YA.   +11 more
europepmc   +1 more source

Psychiatry's Blind Spot: Independent Use of General-Purpose Large Language Models by Individuals With Psychopathology. [PDF]

Mayo Clin Proc Digit Health
Vinh T, Goodman G, Sherrill AM.
europepmc   +1 more source

Fundamental safety-capability trade-offs in fine-tuning large language models. [PDF]

PNAS Nexus
Chen PY, Shen H, Das P, Chen T.
europepmc   +1 more source