Results 171 to 180 of about 316 (232)

Using large language models to assist qualitative thematic analysis of student reflections on advance care planning education. [PDF]

BMC Med Educ
Huang SY, Lin YJ, Sheu SJ, Chu WM.
europepmc   +1 more source

Exploring the Intersection of Health Services Research, Nursing and Rural Health Over 50 Years: Theoretical Foundations and New Frontiers

Journal of Advanced Nursing, EarlyView.
Jessica G. Smith
wiley   +1 more source

Enhancing Learning in Graduate Nursing Education Through a Co‐Designed AI Virtual Tutor: A Mixed‐Methods Evaluation

Journal of Clinical Nursing, EarlyView.
ABSTRACT Background Large language model tools are increasingly used in higher education, offering opportunities to support self‐directed learning. In nursing education, course‐specific AI virtual tutors may provide contextualised support while addressing concerns about content accuracy and alignment; yet empirical evidence remains limited.
Charlene H. Chu, Lindsay A. Jibb, Neal MacInnes, Cordelia C. Shan, Shan D. Mohammed, Stephanie M. Nanos, Mary O'Sullivan, Carles Muntaner, Heather Thomson, Kimberley Widger   +9 more
wiley   +1 more source

Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review. [PDF]

J Med Internet Res
Holmes G, Tang B, Gupta S, Gupta S, Venkatesh S, Christensen H, Whitton A.   +6 more
europepmc   +1 more source

Sibling Complexity Across Childhood: A 16‐Year Follow‐up of the 1988 and 2000 Birth Cohorts in Finland

Journal of Marriage and Family, EarlyView.
ABSTRACT Objective This study quantifies sibling experiences across childhood by birth cohort and maternal education. Background As family structures evolve, sibling complexity—the presence of half and stepsiblings—is becoming more common. Yet, little is known about how sibling constellations unfold across childhood, vary between cohorts, or differ by ...
Liina Junna, Hanna Remes, Michael Murphy, Pekka Martikainen   +3 more
wiley   +1 more source

Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice. [PDF]

JMIR Cancer
White BM, Aitken GL, Zink JA, Kheirkhah Rahimabad P, Kumsa FA, Hashtarkhani S, Rashid R, Kheirinejad S, Girdwood T, Brett CL, Davis RL, Schwartz DL, Shaban-Nejad A.   +12 more
europepmc   +1 more source

Occlusal Dysesthesia: Identifying Knowledge Gaps to Advance Clinical Care

Journal of Oral Rehabilitation, EarlyView.
This scoping review highlights major knowledge gaps in the understanding of occlusal dysesthesia, including limited evidence on sensory, psychological and neurobiological mechanisms. Current theories remain largely unverified, underscoring the need for integrated biopsychosocial research to improve diagnosis and patient care.
Sara A. Esmat, Helen He, Iacopo Cioffi
wiley   +1 more source

Comparative Analysis of Large Language Model and Physician-Generated Responses in Bariatric Patient Inquiries: Assessing the Accuracy and Patient Satisfaction. [PDF]

Obes Surg
Vedder K, Blank S, Wilhelm T, Fidan D, Pachkiv I, Cao H, Weiß C, Li C, Rung-Friebe M, Reissfelder C, Otto M, Yang C.   +11 more
europepmc   +1 more source

Assessing readability and accuracy of content produced by the American College of Prosthodontists and large language models for patient education in prosthodontics

Journal of Prosthodontics, EarlyView.
Abstract Purpose This study aims to evaluate the readability and accuracy of content produced by ChatGPT, Copilot, Gemini, and the American College of Prosthodontists (ACP) for patient education in prosthodontics. Materials and Methods A series of 26 questions were selected from the ACP's list of questions (GoToAPro.org FAQs) and their published ...
Soni Prasad, Merve Koseoglu, Stavroula Antonopoulou, Heidi Marie Huber, Atousa Azarbal, Sri Kurniawan, Cortino Sukotjo   +6 more
wiley   +1 more source

From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology. [PDF]

Front Artif Intell
Karaman I, Sebin B.
europepmc   +1 more source