Deps Patrícia D, Yotsu Rie, Furriel Brunna C R S, de Oliveira Bruno D, de Lima Sergio L, Loureiro Rafael M
Department of Social Medicine, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Brazil.
Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Front Med (Lausanne). 2024 Mar 8;11:1338598. doi: 10.3389/fmed.2024.1338598. eCollection 2024.
Missed and delayed diagnoses of Hansen's disease (HD) are making the battle against it even more complex, increasing its transmission and significantly impacting those affected and their families. This strains public health systems and raises the risk of lifelong impairments and disabilities. Worryingly, the three countries most affected by HD witnessed a growth in new cases in 2022, jeopardizing the World Health Organization's targets to interrupt transmission. Artificial intelligence (AI) can help address these challenges by offering the potential for rapid case detection, customized treatment, and solutions for accessibility challenges-especially in regions with a shortage of trained healthcare professionals. This perspective article explores how AI can significantly impact the clinical management of HD, focusing on therapeutic strategies. AI can help classify cases, ensure multidrug therapy compliance, monitor geographical treatment coverage, and detect adverse drug reactions and antimicrobial resistance. In addition, AI can assist in the early detection of nerve damage, which aids in disability prevention and planning rehabilitation. Incorporating AI into mental health counseling is also a promising contribution to combating the stigma associated with HD. By revolutionizing therapeutic approaches, AI offers a holistic solution to reduce the burden of HD and improve patient outcomes.
麻风病(HD)的漏诊和误诊使对抗该病的斗争变得更加复杂,增加了其传播,并对患者及其家庭产生了重大影响。这给公共卫生系统带来压力,并增加了终身损伤和残疾的风险。令人担忧的是,受麻风病影响最严重的三个国家在2022年新病例有所增加,危及世界卫生组织中断传播的目标。人工智能(AI)可以通过提供快速病例检测、定制治疗以及解决可及性挑战(特别是在缺乏训练有素的医疗专业人员的地区)的潜力,来帮助应对这些挑战。这篇观点文章探讨了人工智能如何能对麻风病的临床管理产生重大影响,重点关注治疗策略。人工智能可以帮助病例分类、确保多药疗法的依从性、监测地理治疗覆盖范围以及检测药物不良反应和抗菌药物耐药性。此外,人工智能可以协助早期发现神经损伤,这有助于预防残疾和规划康复。将人工智能纳入心理健康咨询也是对抗与麻风病相关的耻辱感的一项有前景的贡献。通过彻底改变治疗方法,人工智能提供了一个全面的解决方案,以减轻麻风病的负担并改善患者预后。