Results 231 to 240 of about 34,912 (272)

Matching Patients With Cell Surface-Targeted Clinical Trials Using Large Language Models. [PDF]

JCO Precis Oncol
Callahan SC, Chrostek MR, Rydzewski N, Bootsma M, Helzer KT, Bakhtiar H, Morris ZS, Kosoff D, Lang JM, Ma VT, Sharifi M, Zhao SG.   +11 more
europepmc   +1 more source

Enhancing Dental Students' History‐taking Skills with a Generative Artificial Intelligence Chatbot

Journal of Dental Education, EarlyView.
ABSTRACT Purpose Accurate history‐taking is crucial for diagnosis and treatment planning in dentistry yet there is insufficient time in pre‐clinical years to practice this essential skill. This study evaluated dental student motivations and enjoyment using a generative artificial intelligence (AI) chatbot to practice these skills.
Aidan Or, Smitha Sukumar, Andrew Ma, Derick Ang, Max Liu, Helen E. Ritchie, Babak Sarrafpour   +6 more
wiley   +1 more source

Large Language Models Evaluation of Medical Licensing Examination Using GPT-4.0, ERNIE Bot 4.0, and GPT-4o. [PDF]

Bioengineering (Basel)
Lian L, Luo X, Chipusu K, Ashraf MA, Wong KKL, Zhang W.   +5 more
europepmc   +1 more source

Longitudinal 4D Flow MRI‐Derived Wall Shear Stress in Patients With an Abdominal Aortic Aneurysm

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background 4D flow MRI‐derived parameters such as wall shear stress (WSS) may improve abdominal aortic aneurysm (AAA) progression prediction. Validation of this biomarker is needed, but longitudinal data are lacking. Purpose Investigate longitudinal WSS changes and associations with AAA morphology. Study Type Prospective.
E. Aalbregt, W. Stehling, E. M. Schrauben, J. van Schuppen, L. J. Meijboom, R. A. P. Takx, A. J. Nederveen, P. van Ooij, V. Jongkind, K. K. Yeung   +9 more
wiley   +1 more source

Performance of large language models on sleep medicine certification examination: a comprehensive multi-model analysis. [PDF]

Front Med (Lausanne)
Koç A, Ataş AE, Yosunkaya Ş, Vatansev H.   +3 more
europepmc   +1 more source

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

Journal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau, Haydn Kerr, Clare L. Singh, Bismark Ofori‐Manteaw, Elio Arruzza, Kelly Bentley‐Spuur   +5 more
wiley   +1 more source

When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation. [PDF]

Sci Rep
Keleşoğlu N, Sobczak Ł, Domańska J.
europepmc   +1 more source

Evaluation of GPT-5 for Esophageal Cancer Staging Using Fluorodeoxyglucose Positron Emission Tomography Maximum-Intensity Projection Images: Comparative Pilot Study.

JMIR Cancer
Maruyama H, Toyama Y, Araki Y, Takanami K, Ito M, Nakajima Y, Takase K, Kamei T.   +7 more
europepmc   +1 more source

Assessing large language models as assistive tools in selecting first trial lens parameters for orthokeratology. [PDF]

Front Med (Lausanne)
Han Y, Wei J, Wang J, Guo YM, Li S, Ye L.   +5 more
europepmc   +1 more source

Comparison of GPT-5 and GPT-4o in Solving the Polish Centre for Medical Examinations (CEM) Gastroenterology Examination. [PDF]

Cureus
Jaworski W, Dolata T, Sawina P, Latkowska A, Olender M, Wielochowska A, Boczkowski D, Radej D, Kowalczyk A, Majchrowicz W, Loson M, Kruplewicz M, Stachowicz A, Kubiak M, Dadynska P.   +14 more
europepmc   +1 more source