Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards

被引:11
作者
Giovagnoli, Maria Rosaria [1 ]
Giansanti, Daniele [2 ]
机构
[1] Sapienza Univ, Fac Med & Psychol, Piazzale Aldo Moro, I-00185 Rome, Italy
[2] Ist Super Sanita, Ctr Tisp, I-00161 Rome, Italy
关键词
e-health; medical devices; m-health; digital-pathology; picture archive and communication system; artificial intelligence; cytology; histology; TECHNOLOGY; CYTOLOGY;
D O I
10.3390/healthcare9070858
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.
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页数:13
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共 24 条
[1]  
Abdolahi Mohammad, 2020, Med J Islam Repub Iran, V34, P140, DOI 10.34171/mjiri.34.140
[2]   Special Issue on Digital Pathology, Tissue Image Analysis, Artificial Intelligence, and Machine Learning: Approximation of the Effect of Novel Technologies on Toxicologic Pathology [J].
Aeffner, Famke ;
Sing, Tobias ;
Turner, Oliver C. .
TOXICOLOGIC PATHOLOGY, 2021, 49 (04) :705-708
[3]   Artificial Intelligence and the Medical Physicist: Welcome to the Machine [J].
Avanzo, Michele ;
Trianni, Annalisa ;
Botta, Francesca ;
Talamonti, Cinzia ;
Stasi, Michele ;
Iori, Mauro .
APPLIED SCIENCES-BASEL, 2021, 11 (04) :1-17
[4]   Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry [J].
Avanzo, Michele ;
Pirrone, Giovanni ;
Mileto, Mario ;
Massarut, Samuele ;
Stancanello, Joseph ;
Baradaran-Ghahfarokhi, Milad ;
Rink, Alexandra ;
Barresi, Loredana ;
Vinante, Lorenzo ;
Piccoli, Erica ;
Trovo, Marco ;
El Naqa, Issam ;
Sartor, Giovanna .
MEDICAL PHYSICS, 2019, 46 (03) :1447-1454
[5]   Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology [J].
Bera, Kaustav ;
Katz, Ian ;
Madabhushi, Anant .
JCO CLINICAL CANCER INFORMATICS, 2020, 4 :1039-1050
[6]   Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology [J].
Bera, Kaustav ;
Schalper, Kurt A. ;
Rimm, David L. ;
Velcheti, Vamsidhar ;
Madabhushi, Anant .
NATURE REVIEWS CLINICAL ONCOLOGY, 2019, 16 (11) :703-715
[7]   The focus emulation and image enhancement in digital cytology: an experience using the software Mathematica [J].
Boschetto, A. ;
Pochini, M. ;
Bottini, L. ;
Giovagnoli, M. R. ;
Giansanti, D. .
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 2015, 3 (02) :110-116
[8]  
Browning L., 2020, J CLIN PATHOL, DOI [:10.1136/jclinpath- 2020-206854, DOI 10.1136/jclinpath-2020-206854]
[9]   Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice [J].
Colling, Richard ;
Pitman, Helen ;
Oien, Karin ;
Rajpoot, Nasir ;
Macklin, Philip ;
Snead, David ;
Sackville, Tony ;
Verrill, Clare ;
Bachtiar, Velicia ;
Booth, Richard ;
Bryant, Alyson ;
Bull, Joshua ;
Bury, Jonathan ;
Carragher, Fiona ;
Collins, Graeme ;
Craig, Clare ;
da Silva, Maria Freitas ;
Gosling, Daniel ;
Jacobs, Jaco ;
Kajland-Wilen, Lena ;
Karlin, Johanna ;
Lawler, Darragh ;
Lee, Stephen ;
Miller, Keith ;
Mozolowski, Guy ;
Nicholson, Richard ;
O'Connor, Daniel ;
Rahbek, Mikkel ;
Sumner, Alan ;
Vossen, Dirk ;
White, Kieron ;
Wing, Charlotte ;
Wright, Corrina .
JOURNAL OF PATHOLOGY, 2019, 249 (02) :143-150
[10]   The design of a health technology assessment system in telepathology [J].
Giansanti, Daniele ;
Castrichella, Livia ;
Giovagnoli, Maria Rosaria .
TELEMEDICINE JOURNAL AND E-HEALTH, 2008, 14 (06) :570-575