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Cancer presents substantial challenges globally, particularly in low- and middle-income countries (LMICs) such as India, where resources are limited. This study explores the potential of optical imaging technologies for cancer diagnosis in low-resource settings (LRS) within India. It assesses the benefits, prospects, and obstacles associated with their adoption. Optical imaging offers advantages including non-invasiveness, automated diagnosis, and cost-effectiveness; however, its widespread implementation faces constraints such as high initial costs, inadequate infrastructure, a shortage of skilled personnel, and integration challenges with existing healthcare systems. Addressing these challenges necessitates strategies involving capital investments, skill enhancement, and infrastructure development. Affordable and user-friendly optical imaging systems tailored for LRS have been developed, and theapplication of artificial intelligence (AI) shows promise for improving cancer diagnosis in LMICs like India. This study reviews the latest advancements in optical imaging technology and underscores the need for further research and collaboration to enhance cancer treatment in India and other LMICs.
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Soumya Mazumdar (2024) studied this question.
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