Integrating telepathology and digital pathology with artificial intelligence: An inevitable future
Alexandre Battazza, Felipe César da Silva Brasileiro, Ana Cristina Tasaka, Camilo Bulla, Pedro Pol Ximenes, Juliana Emi Hosomi, Patricia Fernanda da Silva, L.F. Silva 等 10 位
Department of Physics, Mathematics and Informatics Universidade Estadual Paulista (Unesp) Universidade Municipal de São Caetano do Sul Mississippi State University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Telepathology and digital pathology, enhanced with artificial intelligence (AI), represent groundbreaking technology advancements. These entities offer information exchange, enhanced teaching and research, and automated diagnosis with high precision through a computerized approach. Machine learning in pathology shows promise for both human and veterinary medicine, yielding favorable results and in some cases, surpassing the accuracy of human pathologists. This study aimed to highlight the significance of integrated AI with telepathology and digital pathology, outlining both its advantages and limitations while emphasizing the crucial role of pathologists in its implementation. A literature review was conducted to uncover publications and data on telepathology and AI, and their implementation in human and veterinary medicine. This approach has facilitated information exchange, enhancing both teaching and research. In addition, it facilitates the creation of innovative methods and offers more precise patient diagnoses, adhering to ethical and legal standards. This study delivers valuable and comparable data on telepathology, digital pathology, and AI integration. Given the continually emerging nature of these technologies, further studies are essential for their application to human and veterinary medicine.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIAI in cancer detection
Radiomics and Machine Learning in Medical Imaging · Colorectal Cancer Screening and Detection
参考文献 18
此处列出前 3 条
引用本文 17
按被引量排序,此处列出前 3 条