Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy

被引:49
|
作者
Avanzo, Michele [1 ]
Porzio, Massimiliano [2 ]
Lorenzon, Leda [3 ]
Milan, Lisa [4 ]
Sghedoni, Roberto [5 ]
Russo, Giorgio [6 ]
Massafra, Raffaella [7 ]
Fanizzi, Annarita [7 ]
Barucci, Andrea [8 ]
Ardu, Veronica [9 ]
Branchini, Marco [10 ]
Giannelli, Marco [11 ]
Gallio, Elena [12 ]
Cilla, Savino [13 ]
Tangaro, Sabina [14 ,15 ]
Lombardi, Angela [15 ,16 ]
Pirrone, Giovanni [1 ]
De Martin, Elena [17 ]
Giuliano, Alessia [18 ]
Belmonte, Gina [18 ]
Russo, Serenella [19 ]
Rampado, Osvaldo [12 ]
Mettivier, Giovanni [20 ,21 ]
机构
[1] Ctr Riferimento Oncol Aviano CRO IRCCS, Med Phys Dept, I-33081 Aviano, PN, Italy
[2] ASL CN1, Med Phys Dept, Via Carlo Boggio 12, I-12100 Cuneo, CN, Italy
[3] Bolzano Hosp, Med Phys Dept, I-39100 Bolzano, Italy
[4] Ente Osped Cantonale, Imaging Inst Southern Switzerland, Clin Nucl Med & Mol Imaging, Bellinzona, Switzerland
[5] Azienda USL IRCCS Reggio Emilia, Med Phys Unit, Via Amendola 2, I-42122 Reggio Emilia, Italy
[6] Natl Inst Nucl Phys LNS INFN, Lab Nazl Sud, Natl Res Council CNR, Inst Bioimaging & Mol Physiol IBFM, Secondary Site Cefalu, Rome, Italy
[7] IRCCS Ist Tumori Giovanni Paolo II, Struttura Semplice Dipartimentale Fis Sanitaria, Bari, Italy
[8] Italian Natl Res Council, Inst Appl Phys Nello Carrara, Via Madonna Piano 10, I-50019 Sesto Fiorentino, FI, Italy
[9] ASST Lodi, UOS Fis Sanitaria, Lodi, Italy
[10] ASST Valtellina & Alto Lario, Med Phys Dept, Via Stelvio 25, I-23100 Sondrio, Italy
[11] Azienda Osped Univ Pisana, Univ Hosp Pisa, Unit Med Phys, Via Roma 67, I-56126 Pisa, Italy
[12] AOU Citta Salute & Sci Torino, Med Phys Unit, I-10126 Turin, Italy
[13] Univ Cattolica Sacro Cuore, Gemelli Molise Hosp, Med Phys Unit, I-86100 Campobasso, Italy
[14] Univ Bari Aldo Moro, Dipartimento Sci Suolo Pianta & Alimenti, Via G Amendola 165-A, I-70126 Bari, Italy
[15] Ist Nazl Fis Nucl, Sez Bari, Via Orabona 4, I-70125 Bari, Italy
[16] Univ Bari Aldo Moro, Dipartimento Interateneo Fis, Via Orabona 4, I-70125 Bari, Italy
[17] Fdn IRCCS Ist Neurol Carlo Besta, Hlth Dept, I-20133 Milan, Italy
[18] San Luca Hosp, Med Phys Dept, I-55100 Lucca, Italy
[19] AUSL Toscana Ctr, Med Phys Unit, Via Antella 58, I-50012 Bagno A Ripoli, FI, Italy
[20] Univ Napoli Federico II, Dipartimento Fis E Pancini, I-80126 Naples, Italy
[21] INFN Napoli, I-80126 Naples, Italy
来源
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | 2021年 / 83卷
关键词
Machine learning; Deep learning; Artificial intelligence; Imaging; Radiomics; Radiotherapy; MACHINE LEARNING APPROACH; ALZHEIMERS-DISEASE ONSET; SEGMENTATION METHOD; AUTOMATIC APPROACH; SCALE VALIDATION; EARLY-DIAGNOSIS; STRUCTURAL MRI; CLASSIFICATION; BRAIN; CT;
D O I
10.1016/j.ejmp.2021.04.010
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To perform a systematic review on the research on the application of artificial intelligence (AI) to imaging published in Italy and identify its fields of application, methods and results. Materials and Methods: A Pubmed search was conducted using terms Artificial Intelligence, Machine Learning, Deep learning, imaging, and Italy as affiliation, excluding reviews and papers outside time interval 2015-2020. In a second phase, participants of the working group AI4MP on Artificial Intelligence of the Italian Association of Physics in Medicine (AIFM) searched for papers on AI in imaging. Results: The Pubmed search produced 794 results. 168 studies were selected, of which 122 were from Pubmed search and 46 from the working group. The most used imaging modality was MRI (44%) followed by CT(12%) ad radiography/mammography (11%). The most common clinical indication were neurological diseases (29%) and diagnosis of cancer (25%). Classification was the most common task for AI (57%) followed by segmentation (16%). 65% of studies used machine learning and 35% used deep learning. We observed a rapid increase of research in Italy on artificial intelligence in the last 5 years, peaking at 155% from 2018 to 2019.
引用
收藏
页码:221 / 241
页数:21
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