人工智能在肿瘤成像中的应用:伦理、监管和医学法律彻底

Q4 Biochemistry, Genetics and Molecular Biology

Critical Reviews in Oncogenesis Pub Date : 2023-01-01 DOI:10.1615/critrevoncog.2023050584

Marco Alì, Arianna Fantesini, Marco Tullio Morcella, Simona Ibba, Gennaro D'Anna, Deborah Fazzini, Sergio Papa

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引用次数: 0

摘要

人工智能(AI)算法在肿瘤成像方面显示出巨大的前景，在回顾性研究中表现优于或匹配放射科医生，这表明它们具有先进的筛查能力的潜力。这些人工智能工具为放射科医生提供了宝贵的支持，帮助他们完成关键任务，如优先报告、早期癌症检测和精确测量，从而支持临床决策。随着医疗保健领域的成像需求激增和可用放射科医生的减少，人工智能的集成变得越来越有吸引力。通过简化工作流程效率和加强患者护理，人工智能为肿瘤成像实践面临的挑战提供了一种变革性的解决方案。然而，成功的人工智能整合需要应对各种道德、监管和医疗法律挑战。这篇综述努力提供这些障碍的全面概述，旨在促进人工智能在肿瘤成像中的负责任和有效的实施。

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Adoption of AI in oncological imaging: ethical, regulatory, and medical-legal thorough

Artificial Intelligence (AI) algorithms have shown great promise in oncological imaging, outperforming or matching radiologists in retrospective studies, signifying their potential for advanced screening capabilities. These AI tools offer valuable support to radiologists, assisting them in critical tasks such as prioritizing reporting, early cancer detection, and precise measurements, thereby bolstering clinical decision-making. With the healthcare landscape witnessing a surge in imaging requests and a decline in available radiologists, the integration of AI has become increasingly appealing. By streamlining workflow efficiency and enhancing patient care, AI presents a transformative solution to the challenges faced by oncological imaging practices. Nevertheless, successful AI integration necessitates navigating various ethical, regulatory, and medical-legal challenges. This review endeavors to provide a comprehensive overview of these obstacles, aiming to foster a responsible and effective implementation of AI in oncological imaging.

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来源期刊

Critical Reviews in Oncogenesis Biochemistry, Genetics and Molecular Biology-Cancer Research

CiteScore

1.70

自引率

0.00%

发文量

期刊介绍： The journal is dedicated to extensive reviews, minireviews, and special theme issues on topics of current interest in basic and patient-oriented cancer research. The study of systems biology of cancer with its potential for molecular level diagnostics and treatment implies competence across the sciences and an increasing necessity for cancer researchers to understand both the technology and medicine. The journal allows readers to adapt a better understanding of various fields of molecular oncology. We welcome articles on basic biological mechanisms relevant to cancer such as DNA repair, cell cycle, apoptosis, angiogenesis, tumor immunology, etc.