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Division of General Internal Medicine and Primary Care A, Division of General Internal Medicine and Primary Care S, Rocha HAL, Rizvi RF, Juaçaba SF, Jackson GP, Bates DW
Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries
Physician Perception and Satisfaction with Artificial Intelligence in Cancer Treatment: The Watson for Oncology Experience and Implications for Low-Middle Income Countries
Angela Division of General Internal Medicine and Primary Care;
Srinivas Division of General Internal Medicine and Primary Care;
Hermano Alexandre Lima Rocha;
Rubina F. Rizvi;
Sergio Ferreira Juaçaba;
Gretchen Purcell Jackson;
David W. Bates
ABSTRACT
As technology continues to improve, healthcare systems have the opportunity to utilize a variety of innovative tools for decision making that extend beyond traditional clinical decision support systems (CDSSs). The feasibility and efficacy integrating artificial intelligence (AI) systems into medical practice has shown variable success, especially in resource-poor areas. In this paper, we cover the existing challenges surrounding cancer treatment in low-middle income countries (LMICs). By focusing on the implementation of an AI-based CDSS for oncology, we aim to demonstrate how AI can be both beneficial and challenging for cancer management globally. Additionally, we summarize current physician perspectives from China, India, Brazil, Thailand, and Mexico in regard to their experiences and recommendations for improving the system. By doing so, we hope to highlight the need for additional research on user experience and unique cultural barriers for the successful implementation of AI in LMICs.
Citation
Please cite as:
Division of General Internal Medicine and Primary Care A, Division of General Internal Medicine and Primary Care S, Rocha HAL, Rizvi RF, Juaçaba SF, Jackson GP, Bates DW
Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries