Artificial intelligence in medical education: a cross-sectional needs assessment

被引:0
|
作者
M. Murat Civaner
Yeşim Uncu
Filiz Bulut
Esra Giounous Chalil
Abdülhamit Tatli
机构
[1] Bursa Uludag University School of Medicine,Department of Medical Ethics
[2] Bursa Uludag University School of Medicine,Department of Family Medicine
[3] Bursa Uludag University,Institute of Health Sciences
[4] Bursa Uludag University School of Medicine,undefined
来源
关键词
Artificial intelligence; Healthcare; Medical curriculum; Medical ethics; Medical students; Medicine;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Artificial intelligence in medical education: a cross-sectional needs assessment
    Civaner, M. Murat
    Uncu, Yesim
    Bulut, Filiz
    Chalil, Esra Giounous
    Tatli, Abdulhamit
    BMC MEDICAL EDUCATION, 2022, 22 (01)
  • [2] Artificial Intelligence in Nursing Education: A Cross-sectional UTAUT Analysis Study
    Alenazi, Latifah H.
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2025, 19 (01) : LC17 - LC22
  • [3] Artificial Intelligence in Medicine: Cross-Sectional Study Among Medical Students on Application, Education, and Ethical Aspects
    Weidener, Lukas
    Fischer, Michael
    JMIR MEDICAL EDUCATION, 2024, 10
  • [4] Emotional Intelligence Assessment in Undergraduate Medical Students: A Cross-sectional Study
    Bagle, Tushar Ramesh
    Baviskar, Pooja Ashok
    Mital, Anukant K.
    Vare, Vijay A.
    Hire, Rohankumar C.
    Chincholkar, Vivek S.
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2021, 15 (03)
  • [5] Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study
    Alkhaaldi, Saif M., I
    Kassab, Carl H.
    Dimassi, Zakia
    Alsoud, Leen Oyoun
    Al Fahim, Maha
    Al Hageh, Cynthia
    Ibrahim, Halah
    JMIR MEDICAL EDUCATION, 2023, 9
  • [6] Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study
    Aidan Pucchio
    Raahulan Rathagirishnan
    Natasha Caton
    Peter J. Gariscsak
    Joshua Del Papa
    Jacqueline Justino Nabhen
    Vicky Vo
    Wonjae Lee
    Fabio Y. Moraes
    BMC Medical Education, 22
  • [7] Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study
    Pucchio, Aidan
    Rathagirishnan, Raahulan
    Caton, Natasha
    Gariscsak, Peter J.
    Del Papa, Joshua
    Nabhen, Jacqueline Justino
    Vo, Vicky
    Lee, Wonjae
    Moraes, Fabio Y.
    BMC MEDICAL EDUCATION, 2022, 22 (01)
  • [8] Exploring medical student's outlook on use of artificial intelligence in medical education: a multicentric cross-sectional study in Jharkhand, India
    Ahmad, Nadia
    Chakraborty, Hirok
    Sinha, Ratnesh
    COGENT EDUCATION, 2024, 11 (01):
  • [9] Assessment of patient perceptions of artificial intelligence use in dermatology: A cross-sectional survey
    Wu, Alexander
    Ngo, Madeline
    Thomas, Cristina
    SKIN RESEARCH AND TECHNOLOGY, 2024, 30 (03)
  • [10] Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study
    Halat, Dalal Hammoudi
    Shami, Rula
    Daud, Alaa
    Sami, Waqas
    Soltani, Abderrezzaq
    Malki, Ahmed
    CLINICAL AND EXPERIMENTAL DENTAL RESEARCH, 2024, 10 (04):