Kapoor Neelesh, Sanjana S N, Davalagi Shubha B, Balu P S, Sethia Soumitra
Department - Medical Affairs, Organisation, Eka Care, Bengaluru, India.
Department of Community Medicine, JJM Medical College, Davangere, India.
Indian J Community Med. 2024 Dec;49(Suppl 2):S210-S216. doi: 10.4103/ijcm.ijcm_806_24. Epub 2024 Dec 30.
Artificial intelligence (AI) is poised to revolutionize healthcare delivery in India, offering solutions to address the nation's unique healthcare challenges. This position paper, presented by the Indian Association of Preventive and Social Medicine, examines the integration of AI in Indian healthcare, exploring its applications across diagnostic imaging, patient care, medical research, rehabilitation, and administrative processes. Notable implementations include AI-driven disease detection systems, telemedicine platforms, and public health surveillance tools, with successful applications in tuberculosis screening, breast cancer detection, and ophthalmological care. While these advancements show promise, significant challenges persist, related to data privacy concerns and interoperability issues, including the need for robust ethical frameworks. The paper highlights key stakeholder collaborations, including government initiatives and international partnerships, which are driving innovation in this space. Based on this analysis, we propose policy recommendations emphasizing research investment, professional training, and regulatory frameworks to ensure responsible AI adoption. Our vision advocates for an approach that balances technological advancement with accessibility and equity in healthcare delivery.
人工智能（AI）有望彻底改变印度的医疗服务，提供解决方案以应对该国独特的医疗挑战。这份由印度预防与社会医学协会提交的立场文件，审视了人工智能在印度医疗领域的整合情况，探讨了其在诊断成像、患者护理、医学研究、康复及行政流程等方面的应用。值得注意的实施案例包括人工智能驱动的疾病检测系统、远程医疗平台和公共卫生监测工具，在结核病筛查、乳腺癌检测及眼科护理方面有成功应用。尽管这些进展显示出前景，但重大挑战依然存在，涉及数据隐私问题和互操作性问题，包括需要健全的伦理框架。该文件强调了关键利益相关者的合作，包括政府举措和国际伙伴关系，这些正在推动该领域的创新。基于此分析，我们提出政策建议，强调研究投资、专业培训和监管框架，以确保负责任地采用人工智能。我们的愿景倡导一种在医疗服务的可及性和公平性与技术进步之间取得平衡的方法。
