Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2025-03-04 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1550407
Isha Goel, Yogendra Bhaskar, Nand Kumar, Sunil Singh, Mohammed Amanullah, Ruby Dhar, Subhradip Karmakar
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Abstract

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.

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人工智能在增强和重新定义肿瘤护理领域中的作用:来自发展中国家的视角。
早期诊断和准确的预后在癌症的临床管理和预防癌症相关死亡中起着关键作用。亚洲人口的迅速增长,尤其是印度等南亚国家的人口,对医疗保健系统构成了重大挑战。令人遗憾的是,印度对医疗保健服务的需求远远超过现有资源,导致医院人满为患、等待时间延长和设施不足。农村地区缺乏训练有素的人力、缺乏意识以及筛查项目的低普及率进一步加剧了这一问题。在机器学习、深度学习和自然语言处理技术进步的推动下,人工智能(AI)可以深刻改变医疗保健行业的潜在缺陷,尤其是在印度等人口众多的国家。印度每年报告的癌症病例约为140万例,死亡人数为90万人,其癌症负担超过了一些国家。此外,印度多样化和庞大的民族人口是医疗保健研究的数据金矿。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治疗,并减少因印度巨大的癌症负担而造成的GDP损失(按潜在生产寿命损失年数计算)的经济负担。这篇综述探讨了癌症管理的不同方面,如预防、诊断、精确治疗、预后和药物发现,人工智能在这些方面已经显示出有希望的临床结果。通过在肿瘤学研究中利用人工智能的能力,医疗保健专业人员可以提高他们在早期阶段诊断癌症的能力,从而实现更有效的治疗并改善患者的预后。随着不断的研究和开发,人工智能和数字卫生可以在缓解人口增长带来的挑战和推进印度防治癌症方面发挥变革性作用。此外,人工智能驱动的技术可以帮助制定个性化的治疗计划,优化治疗策略,并支持肿瘤学家做出明智的决定。然而,必须确保负责任的实施,并解决与在医疗保健中使用人工智能相关的潜在道德和隐私问题。
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审稿时长
13 weeks
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