AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
In the classroom, artificial intelligence techniques help automate student behavior analysis, and teachers are able to understand students' class status more effectively. We developed an intelligent method for classroom behavior analysis by building ...
American annals of the deaf
Jan 1, 2024
This research study synthesizes research on applications of artificial intelligence (AI) to transform and improve quality of life for deaf and hard of hearing students. Twenty studies were analyzed, spanning domains including AI-enabled captioning, i...
Journal of public health (Oxford, England)
Nov 29, 2023
ChatGPT is a form of technological progress in the 5.0 era. The use of ChatGPT has begun to penetrate all fields of science, including the field of education. Students use ChatGPT to help them complete their assignments in the university environment....
Hu li za zhi The journal of nursing
Oct 1, 2023
In line with the Taiwan government's 2030 bilingual national policy, nursing education must emphasize the importance of enhancing English proficiency, developing international competitiveness, and fostering global literacy. English is used as the med...
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Sep 1, 2023
Ever since its official launch, Chat Generative Pre-Trained Transformer, or ChatGPT, a natural language processing tool driven by artificial intelligence (AI) technology, has attracted much attention from the education community. ChatGPT can play an ...
The Medical journal of Malaysia
Jul 1, 2023
Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence (AI) language model developed by OpenAI. It is trained to process vast amounts of text and engage in human-like conversational interaction with users. Being accessible by...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Deep learning has achieved promising segmentation performance on 3D left atrium MR images. However, annotations for segmentation tasks are expensive, costly and difficult to obtain. In this paper, we introduce a novel hierarchical consistency regular...
Medical teacher
Jul 1, 2021
The explosion of medical information demands a thorough reconsideration of medical education, including what we teach and assess, how we educate, and whom we educate. Physicians of the future will need to be self-aware, self-directed, resource-effect...
Radiologic technology
Mar 1, 2021
PURPOSE: To discuss recent studies that validate the combination of traditional teaching and virtual simulation training in reducing common errors, enhancing students' confidence, improving their performance, and increasing deep learning.