Integrating telepathology and digital pathology with artificial intelligence: An inevitable future

• Main Author: Battazza, Alexandre [UNESP]
• Publication Date: 2024
• Other Authors: da Silva Brasileiro, Felipe César [UNESP], Tasaka, Ana Cristina, Bulla, Camilo, Ximenes, Pedro Pol [UNESP], Hosomi, Juliana Emi [UNESP], da Silva, Patricia Fernanda [UNESP], da Silva, Larissa Freire [UNESP], de Moura, Fernanda Barthelson Carvalho [UNESP], Rocha, Noeme Sousa [UNESP]
• Format: Other
• Language: eng
• Source: Repositório Institucional da UNESP
• Download full: http://dx.doi.org/10.14202/vetworld.2024.1667-1671; https://hdl.handle.net/11449/301743
• topic: artificial intelligence; diagnosis; telepathology

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.