Strength, weakness, opportunities and challenges (SWOC) experience of histopathology image analysis, enhanced by artificial intelligence

Q1 Medicine
Narendra Nath Singh, Ankita Tandon, Pavithra Jayasankar
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引用次数: 0

Abstract

Artificial intelligence (AI) is reshaping the landscape of oral cancer diagnosis through the analysis of digital imaging. By promoting early detection, enhancing diagnostic precision, and enabling personalised treatment approaches, AI holds the potential to significantly improve patient outcomes. However, it is important to carefully consider concerns related to bias, costs, data quality, and regulatory standards. Histopathology image analysis is critical for precise and early diagnosis, particularly cancer detection. It improves consistency, decreases subjectivity, and enables accurate assessment. Its combination with AI allows for faster diagnostics, remote consultations, sophisticated research, and personalised treatment methods, making it an essential tool in modern pathology and healthcare. To fully realise its promise in improving patient care and diagnostics for oral cancer, strategic investments, multidisciplinary cooperation, and strong regulatory frameworks are essential. This narrative review highlights the potential and challenges that lie ahead while advocating for a balanced approach that combines technical innovation with ethical and regulatory vigilance based on a comprehensive literature search and our team's personal experience.
组织病理学图像分析的优势、劣势、机遇和挑战(SWOC)经验,通过人工智能增强
人工智能(AI)正在通过数字成像分析重塑口腔癌诊断的格局。通过促进早期发现、提高诊断精度和实现个性化治疗方法,人工智能有可能显著改善患者的治疗效果。然而,仔细考虑与偏见、成本、数据质量和监管标准相关的问题是很重要的。组织病理学图像分析是精确和早期诊断的关键,特别是癌症检测。它提高了一致性,减少了主观性,并使准确的评估成为可能。它与人工智能相结合,可以实现更快的诊断、远程咨询、复杂的研究和个性化的治疗方法,使其成为现代病理学和医疗保健的重要工具。为了充分实现其在改善口腔癌患者护理和诊断方面的承诺,战略投资、多学科合作和强有力的监管框架至关重要。这篇叙述性评论强调了未来的潜力和挑战,同时提倡一种平衡的方法,将技术创新与道德和监管警惕结合起来,基于全面的文献检索和我们团队的个人经验。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
133
审稿时长
167 days
期刊介绍: Journal of Oral Biology and Craniofacial Research (JOBCR)is the official journal of the Craniofacial Research Foundation (CRF). The journal aims to provide a common platform for both clinical and translational research and to promote interdisciplinary sciences in craniofacial region. JOBCR publishes content that includes diseases, injuries and defects in the head, neck, face, jaws and the hard and soft tissues of the mouth and jaws and face region; diagnosis and medical management of diseases specific to the orofacial tissues and of oral manifestations of systemic diseases; studies on identifying populations at risk of oral disease or in need of specific care, and comparing regional, environmental, social, and access similarities and differences in dental care between populations; diseases of the mouth and related structures like salivary glands, temporomandibular joints, facial muscles and perioral skin; biomedical engineering, tissue engineering and stem cells. The journal publishes reviews, commentaries, peer-reviewed original research articles, short communication, and case reports.
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