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Investigating awareness of artificial intelligence in healthcare among medical students and professionals in Pakistan: a cross-sectional study.

作者信息

Umer Mohammad, Naveed Aiman, Maryam Qanita, Malik Arif Rasheed, Bashir Naghmana, Kandel Kamal

机构信息

King Edward Medical University (KEMU).

Fatima Jinnah Medical University, Lahore, Pakistan.

出版信息

Ann Med Surg (Lond). 2024 Mar 18;86(5):2606-2611. doi: 10.1097/MS9.0000000000001957. eCollection 2024 May.


DOI:10.1097/MS9.0000000000001957
PMID:38694316
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11060211/
Abstract

OBJECTIVE: The purpose of this study is to find out the level of awareness and acceptance of artificial intelligence (AI) in Pakistan's medical community so as to comment on its future in our healthcare system. METHODS: A survey consisting of 15 close-ended questions was conducted. The questions inquired about awareness about AI and discovered the opinions of healthcare professionals regarding its benefits and expected problems. The data were analyzed using SPSS version 26, and descriptive statistics for percentage and frequency were computed. χ test was used to analyze the subgroups (Significant value <0.05). RESULTS: A total of 351 participants were included in this study. General familiarity with AI was low. Only 75 (21.3%) participants answered that they had good familiarity with AI, and only 56 (16%) of them had good familiarity with the role of AI in medicine. One hundred sixty-eight (47.9%) participants disagreed that AI would out-compete the physician in the important traits of professionalism. Only 71 (20.2%) participants believed AI to be diagnostically superior to the physician. Two hundred fourteen (61.0%) were worried about completely trusting AI in its decisions, and 204(58.1%) believed that AI systems lacking human traits would not be able to mirror the doctor-patient relationship. Two hundred sixty-one (74.4%) participants believed that AI would be useful in Administrative tasks. A majority, 162 (46.2%), do not believe that AI would replace them. Finally, a huge majority of participants [225 (64.1%)] demanded the integration of AI in Pakistan's healthcare system. CONCLUSION: This study suggests that a majority of healthcare professionals in Pakistan do not believe that they are sufficiently aware of the role of AI in healthcare. This was corroborated by their answers to various questions regarding the capabilities of AI. This study indicates the need for a more comprehensive ascertainment of healthcare professionals' perceptions regarding the role of Artificial Intelligence in medicine and bridging the gap between doctors and technology to further promote a patient-centred approach to medicine.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a8/11060211/d2aad96072b6/ms9-86-2606-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a8/11060211/d2aad96072b6/ms9-86-2606-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65a8/11060211/d2aad96072b6/ms9-86-2606-g001.jpg

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Investigating awareness of artificial intelligence in healthcare among medical students and professionals in Pakistan: a cross-sectional study.

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[1]
Knowledge, attitudes and perceptions of AI in medicine among Indian doctors.

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[2]
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[4]
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本文引用的文献

[1]
Pakistan's Healthcare System: A Review of Major Challenges and the First Comprehensive Universal Health Coverage Initiative.

Cureus. 2023-9-4

[2]
Artificial intelligence in medical education: a cross-sectional needs assessment.

BMC Med Educ. 2022-11-9

[3]
Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey.

Ann Med Surg (Lond). 2022-3-14

[4]
Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey.

J Med Educ Curric Dev. 2021-6-23

[5]
Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study.

Front Artif Intell. 2020-10-21

[6]
Artificial intelligence, the internet of things, and virtual clinics: ophthalmology at the digital translation forefront.

Lancet Digit Health. 2020-1

[7]
Artificial Intelligence in Ophthalmology: A Meta-Analysis of Deep Learning Models for Retinal Vessels Segmentation.

J Clin Med. 2020-4-3

[8]
The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.

J Med Internet Res. 2020-2-20

[9]
Introducing Artificial Intelligence Training in Medical Education.

JMIR Med Educ. 2019-12-3

[10]
Overview of artificial intelligence in medicine.

J Family Med Prim Care. 2019-7

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