Results 181 to 190 of about 195,949 (260)
Speech emotion recognition with light weight deep neural ensemble model using hand crafted features. [PDF]
Chowdhury JH, Ramanna S, Kotecha K.
europepmc +1 more source
Thanabots—AI‐generated digital representations of deceased donors—could enhance anatomy education by linking medical history with anatomy and fostering humanistic engagement. However, their use poses ethical questions and carries psychological risks, including issues around consent, authenticity, and emotional harm.
Jon Cornwall, Sabine Hildebrandt
wiley +1 more source
Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier. [PDF]
Wang N, Yang D.
europepmc +1 more source
Abstract Anatomy educators are increasingly seeking approaches that honor the humanity of body donors while supporting learners through their first encounters in the gross anatomy lab. We describe a comprehensive donor meeting session, implemented in both dissection and prosection curricula at two North American medical schools, that prepares students ...
Bryn Bhalerao +4 more
wiley +1 more source
Speech Emotion Recognition in People at High Risk of Dementia. [PDF]
Kim D, Yi B, Won Y.
europepmc +1 more source
Moving beyond neurophobia to cultivate the neuroquisitive learner
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel +1 more
wiley +1 more source
Fusion of PCA and ICA in Statistical Subset Analysis for Speech Emotion Recognition. [PDF]
Kingeski R, Henning E, Paterno AS.
europepmc +1 more source
Abstract The topics of ethics and professionalism in anatomy have only recently gained prominence within the discipline, reflecting trends in medical and health professions education and an increasing awareness of societal expectations around the use of the dead.
Jon Cornwall +2 more
wiley +1 more source
Speech Emotion Recognition in Mental Health: Systematic Review of Voice-Based Applications.
Jordan E +6 more
europepmc +1 more source
Advanced differential evolution for gender-aware English speech emotion recognition. [PDF]
Yue L, Hu P, Zhu J.
europepmc +1 more source

