TY - JOUR
T1 - A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan
AU - Siddiqui, Nadeem Ahmed
AU - Anees, Muhammad
AU - Shaikh, Fareed
AU - Rehman, Zia Ur
N1 - Publisher Copyright:
© 2024 Pakistan Medical Association. All rights reserved.
PY - 2024/4
Y1 - 2024/4
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Bias
KW - Health Care
KW - Surgeons
KW - Vascular Surgical Procedures
KW - abdominal aortic aneurysm
KW - machine learning
KW - peripheral arterial disease
KW - vascular surgery
UR - http://www.scopus.com/inward/record.url?scp=85192583166&partnerID=8YFLogxK
U2 - 10.47391/JPMA.AKU-9S-27
DO - 10.47391/JPMA.AKU-9S-27
M3 - Article
C2 - 38712428
AN - SCOPUS:85192583166
SN - 0030-9982
VL - 74
SP - S171-S174
JO - Journal of the Pakistan Medical Association
JF - Journal of the Pakistan Medical Association
IS - 4
ER -