Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception

被引:70
作者
Bisdas, Sotirios [1 ,2 ]
Topriceanu, Constantin-Cristian [3 ]
Zakrzewska, Zosia [3 ]
Irimia, Alexandra-Valentina [4 ]
Shakallis, Loizos [1 ]
Subhash, Jithu [5 ]
Casapu, Maria-Madalina [6 ]
Leon-Rojas, Jose [7 ]
Pinto dos Santos, Daniel [8 ]
Andrews, Dilys Miriam [9 ]
Zeicu, Claudia [10 ]
Bouhuwaish, Ahmad Mohammad [11 ]
Lestari, Avinindita Nura [12 ]
Abu-Ismail, Lua'i [13 ]
Sadiq, Arsal Subbah [14 ]
Khamees, Almu'atasim [13 ]
Mohammed, Khaled M. G. [15 ]
Williams, Estelle [16 ]
Omran, Aya Ibrahim [11 ]
Ismail, Dima Y. Abu [17 ]
Ebrahim, Esraa Hasan [18 ]
机构
[1] Univ Coll London NHS Fdn Trust, Natl Hosp Neurol & Neurosurg, Dept Neuroradiol, London, England
[2] UCL, Queen Sq Inst Neurol, Dept Brain Repair & Rehabil, London, England
[3] UCL, Univ Coll London Med Sch, London, England
[4] UCL, Comp Sci Dept, London, England
[5] Univ Nottingham, Sch Med, Nottingham, England
[6] Carol Davila Univ Med & Pharm, Fac Med Dent, Bucharest, Romania
[7] Ecuador Univ Internac Ecuador, Int Univ Ecuador, Sch Med, NeurALL Res Grp, Quito, Ecuador
[8] Univ Hosp Cologne, Dept Radiol, Cologne, Germany
[9] Cardiff Univ, Sch Med, Cardiff, Wales
[10] Univ Coll London NHS Fdn Trust, Natl Hosp Neurol & Neurosurg, Dept Clin Neurophysiol, London, England
[11] Univ Tobruk, Fac Med, Tripoli, Libya
[12] Univ Islam Bandung, Sch Med, Bandung, Indonesia
[13] Yarmouk Univ, Sch Med, Irbid, Jordan
[14] CMH Med Coll Lahore, Lahore, Pakistan
[15] Tanta Univ, Sch Med, Tanta, Egypt
[16] Univ Plymouth, Peninsula Dent Sch, Plymouth, Devon, England
[17] Hashemite Univ, Sch Med, Zarqua, Jordan
[18] Sabha Univ, Sch Med, Sabha, Libya
关键词
artificial intelligence; dental students; medical students; medicine; survey; FUTURE; MODEL;
D O I
10.3389/fpubh.2021.795284
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated.Methods: An anonymous electronic survey on AI was designed for medical and dental students to explore: (1) sources of information about AI, (2) AI applications and concerns, (3) AI status as a topic in medicine, and (4) students' feelings and attitudes. The questionnaire was advertised on social media platforms in 2020. Security measures were employed to prevent fraudulent responses. Mann-Whitney U-test was employed for all comparisons. A sensitivity analysis was also performed by binarizing responses to express disagreement and agreement using the Chi-squared test.Results: Three thousand one hundred thirty-three respondents from 63 countries from all continents were included. Most respondents reported having at least a moderate understanding of the technologies underpinning AI and of their current application, with higher agreement associated with being male (p < 0.0001), tech-savvy (p < 0.0001), pre-clinical student (p < 0.006), and from a developed country (p < 0.04). Students perceive AI as a partner rather than a competitor (72.2%) with a higher agreement for medical students (p = 0.002). The belief that AI will revolutionize medicine and dentistry (83.9%) with greater agreement for students from a developed country (p = 0.0004) was noted. Most students agree that the AI developments will make medicine and dentistry more exciting (69.9%), that AI shall be part of the medical training (85.6%) and they are eager to incorporate AI in their future practice (99%).Conclusion: Currently, AI is a hot topic in medicine and dentistry. Students have a basic understanding of AI principles, a positive attitude toward AI and would like to have it incorporated into their training.
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