Results 211 to 220 of about 3,955,269 (299)

Rethinking explainability in the era of multimodal AI

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract While multimodal AI systems (models jointly trained on heterogeneous data types such as text, time series, graphs, and images) have become ubiquitous and achieved remarkable performance across high‐stakes applications, transparent and accurate explanation algorithms are crucial for their safe deployment and ensure user trust.
Chirag Agarwal
wiley   +1 more source

Shifting Public Discourse on Life-Sustaining Treatment in South Korea From 2014 to 2025: Longitudinal Social Media Analysis. [PDF]

JMIR Infodemiology
Kim M, Suh HS.
europepmc   +1 more source

Cross‐Modal Activation, Integration, and Validation When Reading Illustrated Texts: Evidence From Reading Times and Eye‐Tracking

Applied Cognitive Psychology, Volume 40, Issue 5, September/October 2026.
ABSTRACT The experiments investigated cognitive processes involved in reading illustrated text, focusing on cross‐modal activation, integration, and validation between text and picture. Using an adapted contradiction paradigm, both studies manipulated, within a single illustrated narrative, whether a previously presented picture was consistent or ...
Pauline Frick, Emely Hoch, Anne Schüler
wiley   +1 more source

Estimating the Prevalence of Generative AI Use in Medical School Application Essays: Cross-Sectional Study. [PDF]

JMIR Med Educ
Spies NC, Ratts VS, Hagemann IS.
europepmc   +1 more source

Bio‐Inspired Biopolymeric Implantable Platform for Localized and Sustained Drug Delivery in Solid Tumor Treatment

Advanced Functional Materials, Volume 36, Issue 73, 10 September 2026.
A bio‐inspired biopolymeric implantable drug delivery platform enables localized and sustained release of 7‐ethyl‐10‐hydroxycamptothecin (SN‐38) in solid tumor treatment. The three‐dimensional (3D) structured crosslinked‐chitosan implants are fabricated via 3D‐printed molds and provide drug release over 3 months, significantly inhibiting tumor growth ...
Mercedes Lozano‐Garcia, Constantine Vogiatzis, Alejandra Planells‐Devesa, Emre Dikici, Caroline Vieira Maluf, Vasudev Vivekanand Nayak, Paulo G. Coelho, Lukasz Witek, Alicia Bilbao, Daniel Bilbao, Prasoon Mohan, Sapna Deo, Sylvia Daunert   +12 more
wiley   +1 more source

Virtual Care Expansion and Physician Follow-Up Among Youth With First Mental Health Contact Through a Hospital: Population-Based Repeated Cross-Sectional Study. [PDF]

JMIR Ment Health
Wennberg E, Hamovitch E, Patrikar A, Austin PC, Kurdyak P, Nelson KE, Babujee A, Guttmann A.   +7 more
europepmc   +1 more source

Comparing the outcomes of the technology‐enhanced learning of sectional anatomy with and without preceding demonstrations: A study about the worked‐example effect in anatomy education

Anatomical Sciences Education, Volume 19, Issue 9, Page 1396-1414, September 2026.
Abstract The examination of anatomical cross‐sections can facilitate the understanding of spatial and clinical anatomy. Visualization technologies, with dynamic and interactive displays, can be used to learn sectional anatomy in a mostly self‐directed manner.
Guilherme Reis Borges Coelho Fonseca, George Lim Tipoe, Fraide Augustin Ganotice Jr   +2 more
wiley   +1 more source

Development and validation of the SMART-BPPV: a multimedia learning module for BPPV education. [PDF]

BMC Med Educ
Ho AZJ, Jamaluddin SA, Johari AH, Othman IA.   +3 more
europepmc   +1 more source

The impact of family interview on the relationship between medical students and their silent mentor

Anatomical Sciences Education, Volume 19, Issue 9, Page 1460-1471, September 2026.
Abstract The gross anatomy laboratory course often triggers significant negative emotions in medical students during dissection. While various pedagogical interventions aim to alleviate psychological burden, the fundamental question of how students' perceptions of donors evolve throughout the course remains underexplored.
Po‐Fang Tsai, Mei‐Fang Tseng, Ruei‐Jen Chiou   +2 more
wiley   +1 more source

Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study. [PDF]

JMIR AI
Zhou F, Lokker C, Parrish R, Haynes RB, Iorio A, Saha A, Afzal M.   +6 more
europepmc   +1 more source