Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning

Li, Ben; Mestral, Charles de; Mamdani, Muhammad; Al‐Omran, Mohammed

doi:10.1016/j.jvscit.2022.06.018

Cited by 10 publications

(3 citation statements)

References 56 publications

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“…A study conducted in Canada showed poor knowledge of AI by vascular surgeons. 28 These findings may also be applicable to Pakistan, where a shortage of adequately trained vascular surgeons exists. In the future, there is a need to incorporate AI into the educational programmes enabling the students and healthcare providers to comprehend AI tools, their applications, and to adjust their practices 29 A significant challenge regarding AI involves the possibility of bias in the algorithms employed for model training.…”

Section: Reviewmentioning

confidence: 86%

A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan

Nadeem Ahmed Siddiqui,

Muhammad Anees,

Fareed Shaikh

et al. 2024

J Pak Med Assoc

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This study focuses on the current applications, potential, and challenges to Artificial Intelligence (AI) integration in vascular surgery with specific emphasis on its relevance in Pakistan. Despite the benefits of AI in vascular surgery, there is a substantial gap in its adoption in Pakistan compared to global standards. In our context with limited resources and a scarcity of vascular surgeons, AI can serve as a promising solution. It can enhance healthcare accessibility, improve diagnostic accuracy, and alleviate the workload on vascular surgeons. However, hurdles including the absence of a comprehensive vascular surgery database, a shortage of AI experts, and potential algorithmic biases pose significant challenges to AI implementation. Despite these obstacles, the study underscores the imperative for continued research, collaborative efforts, and investments to unlock the full potential of AI and elevate vascular healthcare standards in Pakistan. Continue...

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Section: Reviewmentioning

confidence: 86%

A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan

Nadeem Ahmed Siddiqui,

Muhammad Anees,

Fareed Shaikh

et al. 2024

J Pak Med Assoc

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“…In a study of Canadian vascular surgeons, 84% of the participants were interested or very interested in learning more about AI and machine learning. ( Li et al, 2022 ) These results raise the possibility that learning about AI and being updated with its application may enhance the likelihood to utilize it in the future.…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence in pharmacy practice: Attitude and willingness of the community pharmacists and the barriers for its implementation

Jarab

Al‐Qerem

Alzoubi

et al. 2023

Saudi Pharmaceutical Journal

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“…Surgeons across multiple specialties report poor knowledge of AI and machine learning (13,14). A perceived lack of access to clinically relevant educational materials in certain disciplines has resulted in clinicians resorting to self-teaching instead (15,16), whereas in others, faculty-delivered courses focused on the basics of AI and their relevance to clinical practice has been able to significantly improve residents' knowledge (16).…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: the Design and Evaluation of a Pilot Course

Jalal,

Ngai,

Hanrahan

et al. 2024

Preprint

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Background: Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. However, there are a lack of courses delivered at a level appropriate for individuals to develop such skills. We assessed the impact of an online digital literacy course on the ability of individuals to critically appraise AI literature in neurosurgery. Methods: We performed a prospective, non-randomised, controlled study with a mixed-methods analysis. The intervention arm comprised of individuals enrolled in our two-day digital health literacy course, with a waiting-list control arm used for comparison. We assessed participants’ pre- and post-course knowledge, confidence and course acceptability using Qualtrics surveys. Results: A total of 62 participants (33 participants, 29 waitlist controls), including neurosurgical trainees and both undergraduate and post-graduate students, attended the course and completed the pre-course survey. The two groups did not vary significantly in terms of age or demographics. Following the course, participants significantly improved in their knowledge of AI (mean difference=3.86, 95% CI=2.97-4.75, p-value<0.0001) and confidence in critically appraising literature using AI (p-value=0.002). Similar differences in knowledge (mean difference=3.15, 95% CI=1.82-4.47, p-value<0.0001) and confidence (p-value<0.0001) were found when compared to the control group. Conclusion: Bespoke courses delivered at an appropriate level can improve clinicians’ understanding of the application of AI in neurosurgery, without the need for in-depth technical knowledge or programming skills.

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Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning

Cited by 10 publications

References 56 publications

A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan

A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan

Artificial intelligence in pharmacy practice: Attitude and willingness of the community pharmacists and the barriers for its implementation

Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: the Design and Evaluation of a Pilot Course

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