Giansanti, Daniele <br/><br/>
The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We? 

 -  MDPI - Multidisciplinary Digital Publishing Institute  2022 
 - 1 electronic resource (158 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>9783036543109 9783036543093 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Искусственный интеллект
<br/><br/><label>Subjects--Index Terms: </label>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 
<br/><br/><label>Universal Decimal Class. No.: </label>004.8