The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?

• Other Authors: Giansanti, Daniele (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Medical equipment & techniques; n/a; eHealth; medical devices; mHealth; digital radiology; picture archive and communication system; artificial intelligence; electronic surveys; chest CT; chest radiography; AI; radiology; awareness; radiographers; radiologists; e-health; m-health; digital-pathology; cytology; histology; diagnostic pathology; breast cancer; bibliometric analysis; healthcare; medical imaging; VOSviewer; digital-radiology; artificial-intelligence; acceptance; consensus; information technology; cardiology; imaging; cervical cancer screening; colposcopy; deep learning; machine learning; medical students; perceptions; digitization in medicine
• Online Access: DOAB: download the publication; DOAB: description of the publication

This book is a reprint of the Special Issue entitled "The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We?". Artificial intelligence is extending into the world of both digital radiology and digital pathology, and involves many scholars in the areas of biomedicine, technology, and bioethics. There is a particular need for scholars to focus on both the innovations in this field and the problems hampering integration into a robust and effective process in stable health care models in the health domain. Many professionals involved in these fields of digital health were encouraged to contribute with their experiences. This book contains contributions from various experts across different fields. Aspects of the integration in the health domain have been faced. Particular space was dedicated to overviewing the challenges, opportunities, and problems in both radiology and pathology. Clinal deepens are available in cardiology, the hystopathology of breast cancer, and colonoscopy. Dedicated studies were based on surveys which investigated students and insiders, opinions, attitudes, and self-perception on the integration of artificial intelligence in this field.