Results 251 to 260 of about 246,738 (311)

A bibliometric analysis of artificial intelligence in anatomy education: Current situation, hot spots, and global trends. [PDF]

Medicine (Baltimore)
Fan Y, Zheng X, Yang G, Li P, Ran Y, Xu T, Wei T.   +6 more
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Understanding the Workflows in Non-Guided and Static Computer-Assisted Implant Surgery. [PDF]

Clin Exp Dent Res
Jorba-Garcia A, Couso-Queiruga E, Raabe C, Chmielewski K, Bornstein M, Al-Nawas B, Mattheos N.   +6 more
europepmc   +1 more source

Editorial: AI-enabled breakthroughs in computational imaging and computer vision. [PDF]

Front Artif Intell
Zhang L, Li X.
europepmc   +1 more source

Application of Artificial Intelligence in Education of Prosthodontics and Implant Dentistry: A Review. [PDF]

Adv Med Educ Pract
Gan Y, Guo J, Zhai J, Huang J.
europepmc   +1 more source

Evaluating large language models for AI-assisted grading: a framework and case study in higher education. [PDF]

Sci Rep
Saez Y, Garcia LM, Mochon A, Isasi P.
europepmc   +1 more source

Mixed reality-assisted navigation versus conventional manual positioning for anterior cruciate ligament reconstruction using 3D-printed knee models: a controlled experimental study. [PDF]

J Orthop Surg Res
Meng B, Zhang Z, Li W, Li B, Wang Y, Pang H, Yue Z, Wang R, Wang Q, Cao J.   +9 more
europepmc   +1 more source

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Computer‐assisted learning in medical education

Medical Education, 1988
Summary. The advent of cheap and powerful micros has opened the possibility of computer‐assisted learning (CAL) in medical education. This article attempts to demonstrate the educational value of CAL, with illustrations of its use.
G. S. CLAYDEN, B. WILSON
exaly   +2 more sources