Advancements in Digital Cytopathology and Artificial Intelligence offers an extensive and reliable resource for those intrigued by the opportunities for employing artificial intelligence in cytopathology, within both clinical and research settings. The book provides advances in research and commercial technologies, regulatory and business environment updates and special considerations in cytopathology that impacts AI applications in the medical field. It describes the current state of cytopathology digitization and AI technologies, the current cytopathology practice environment, including laws and compliance issues in the context of digitization and AI technologies. This an essential reference for cytologists and trainees who are interested in AI and digital pathology and AI researchers and industry partners who are interested in developing applications for cytopathology.Covers numerous opportunities for artificial intelligence to be utilized in cytopathology across both clinical and research areasIncludes in-depth discussions of image analysis systems for gyn cytology and non-gyn cytologyAddresses unique cytology-specific challenges, opportunities, and workflow considerationsProvides a roadmap for pathologists, cytotechnologists, researchers, trainees, and industry innovators navigating the future of cytopathology

Advancements in Digital Cytopathology and Artificial Intelligence offers an extensive and reliable resource for those intrigued by the opportunities for employing artificial intelligence in cytopathology, within both clinical and research settings. The book provides advances in research and commercial technologies, regulatory and business environment updates and special considerations in cytopathology that impacts AI applications in the medical field. It describes the current state of cytopathology digitization and AI technologies, the current cytopathology practice environment, including laws and compliance issues in the context of digitization and AI technologies. This an essential reference for cytologists and trainees who are interested in AI and digital pathology and AI researchers and industry partners who are interested in developing applications for cytopathology.Covers numerous opportunities for artificial intelligence to be utilized in cytopathology across both clinical and research areasIncludes in-depth discussions of image analysis systems for gyn cytology and non-gyn cytologyAddresses unique cytology-specific challenges, opportunities, and workflow considerationsProvides a roadmap for pathologists, cytotechnologists, researchers, trainees, and industry innovators navigating the future of cytopathology