Results 101 to 110 of about 1,300,686 (199)

The enchanted loom of artificial general intelligence. [PDF]

Natl Sci Rev
Poo MM.
europepmc   +1 more source

Feasibility and impact of emotional intelligence training in preclinical medical education. [PDF]

BMC Med Educ
Horowitz E, Kaminsky A, Sidhu M, Fay M, Geis G, D'Agostino L, Bachman W, Barry S, Ostrov BE.   +8 more
europepmc   +1 more source

Advances in the application of artificial intelligence in ophthalmic education and clinical training. [PDF]

Front Med (Lausanne)
Chi M, Cui Y, Xi L.
europepmc   +1 more source

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review. [PDF]

BMC Nurs
Hardie P, Darley A, Derwin R, Eustace-Cook J, Kearns S, Mc Brien B, Siddiquee A, Zheng D, Mooney M.   +8 more
europepmc   +1 more source

Predictive Performance of Artificial Intelligence Algorithms for Gestational Diabetes Mellitus in Pregnant Women: Systematic Review and Meta-Analysis.

J Med Internet Res
Liang Y, Dai A, Luo M, Zheng Z, Shen J, Su Y, Li Z.   +6 more
europepmc   +1 more source

Beyond mimicry: a framework for evaluating genuine intelligence in artificial systems. [PDF]

Front Artif Intell
Niazi SK.
europepmc   +1 more source

Empowering nursing students during AI era: educational strategies for enhancing knowledge and acceptance of artificial intelligence. [PDF]

BMC Nurs
Gouda ADK, Sorour MS, Ayoub AS, Aboushady RMN, Awad MNEMM, Swerky FME, Ayed MMA, Elrefay BW, Elshnawie HAE, Elsayed HTM.   +9 more
europepmc   +1 more source

Editorial: VR-haptic technologies and their applications in dental education. [PDF]

Front Oral Health
Bencharit S, Quinn B, Chau RCW.
europepmc   +1 more source

Optimal exercise modalities and dose for enhancing intelligence in children and adolescents: a Bayesian network meta-analysis. [PDF]

Front Physiol
Wang Y, Wang J, Zhang L, Wang C, Wang G, Li C, Yuan Y, Qiu B, Yang Y.   +8 more
europepmc   +1 more source