Goel Isha, Bhaskar Yogendra, Kumar Nand, Singh Sunil, Amanullah Mohammed, Dhar Ruby, Karmakar Subhradip
Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Front Digit Health. 2025 Mar 4;7:1550407. doi: 10.3389/fdgth.2025.1550407. eCollection 2025.
Early diagnosis and accurate prognosis play a pivotal role in the clinical management of cancer and in preventing cancer-related mortalities. The burgeoning population of Asia in general and South Asian countries like India in particular pose significant challenges to the healthcare system. Regrettably, the demand for healthcare services in India far exceeds the available resources, resulting in overcrowded hospitals, prolonged wait times, and inadequate facilities. The scarcity of trained manpower in rural settings, lack of awareness and low penetrance of screening programs further compounded the problem. Artificial Intelligence (AI), driven by advancements in machine learning, deep learning, and natural language processing, can profoundly transform the underlying shortcomings in the healthcare industry, more for populous nations like India. With about 1.4 million cancer cases reported annually and 0.9 million deaths, India has a significant cancer burden that surpassed several nations. Further, India's diverse and large ethnic population is a data goldmine for healthcare research. Under these circumstances, AI-assisted technology, coupled with digital health solutions, could support effective oncology care and reduce the economic burden of GDP loss in terms of years of potential productive life lost (YPPLL) due to India's stupendous cancer burden. This review explores different aspects of cancer management, such as prevention, diagnosis, precision treatment, prognosis, and drug discovery, where AI has demonstrated promising clinical results. By harnessing the capabilities of AI in oncology research, healthcare professionals can enhance their ability to diagnose cancers at earlier stages, leading to more effective treatments and improved patient outcomes. With continued research and development, AI and digital health can play a transformative role in mitigating the challenges posed by the growing population and advancing the fight against cancer in India. Moreover, AI-driven technologies can assist in tailoring personalized treatment plans, optimizing therapeutic strategies, and supporting oncologists in making well-informed decisions. However, it is essential to ensure responsible implementation and address potential ethical and privacy concerns associated with using AI in healthcare.
早期诊断和准确的预后在癌症的临床管理以及预防癌症相关死亡方面起着关键作用。总体而言,亚洲人口的迅速增长,尤其是像印度这样的南亚国家,给医疗保健系统带来了重大挑战。遗憾的是,印度对医疗服务的需求远远超过了可用资源,导致医院人满为患、等待时间延长以及设施不足。农村地区训练有素的人力稀缺、筛查项目的认知度低和普及率低,进一步加剧了这一问题。由机器学习、深度学习和自然语言处理的进步驱动的人工智能,可以深刻改变医疗行业的潜在缺陷,对于像印度这样人口众多的国家来说更是如此。印度每年报告约140万例癌症病例和90万例死亡,其癌症负担之重超过了几个国家。此外,印度多样化且庞大的种族人口是医疗保健研究的数据宝库。在这种情况下,人工智能辅助技术与数字健康解决方案相结合,可以支持有效的肿瘤护理,并减少因印度巨大的癌症负担而导致的潜在生产寿命损失年数(YPPLL)方面的国内生产总值损失的经济负担。本综述探讨了癌症管理的不同方面,如预防、诊断、精准治疗、预后和药物发现,人工智能在这些方面已显示出有前景的临床结果。通过利用人工智能在肿瘤学研究中的能力,医疗保健专业人员可以提高其在早期阶段诊断癌症的能力,从而带来更有效的治疗和改善患者预后。随着持续的研发,人工智能和数字健康可以在缓解人口增长带来的挑战以及推进印度抗癌斗争中发挥变革性作用。此外,人工智能驱动的技术可以协助制定个性化治疗方案、优化治疗策略,并支持肿瘤学家做出明智的决策。然而,必须确保负责任地实施,并解决与在医疗保健中使用人工智能相关的潜在伦理和隐私问题。