Letter to the Editor on 'Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review'

Authors: Alessandro Bevilacqua, Margherita Mottola

Source: Insights into Imaging, Vol 14, Iss 1, Pp 1-3 (2023)

Subject Terms: Artificial intelligence, Machine learning, Prostate cancer, Medical physics. Medical radiology. Nuclear medicine, R895-920

File Description: electronic resource

Relation: https://doaj.org/toc/1869-4101

Access URL: https://doaj.org/article/67940e4d758a448ab32747158f0f8c4b

The Effectiveness of an Adaptive Method to Analyse the Transition between Tumour and Peritumour for Answering Two Clinical Questions in Cancer Imaging

Authors: Margherita Mottola, Rita Golfieri, Alessandro Bevilacqua

Source: Sensors, Vol 24, Iss 4, p 1156 (2024)

Subject Terms: machine learning, peritumour, tumour, hepatocellular carcinoma, rectal cancer, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/4/1156; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/76e862bae0864da681b5d60242bd471e

Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients

Authors: Margherita Mottola, Stephan Ursprung, Leonardo Rundo, Lorena Escudero Sanchez, Tobias Klatte, Iosif Mendichovszky, Grant D Stewart, Evis Sala, Alessandro Bevilacqua

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/c0efd4e12f234fa7abb5a8e2518d129a

Human, All Too Human? An All-Around Appraisal of the 'Artificial Intelligence Revolution' in Medical Imaging

Authors: Francesca Coppola, Lorenzo Faggioni, Michela Gabelloni, Fabrizio De Vietro, Vincenzo Mendola, Arrigo Cattabriga, Maria Adriana Cocozza, Giulio Vara, Alberto Piccinino, Silvia Lo Monaco, Luigi Vincenzo Pastore, Margherita Mottola, Silvia Malavasi, Alessandro Bevilacqua, Emanuele Neri, Rita Golfieri

Source: Frontiers in Psychology, Vol 12 (2021)

Subject Terms: artificial intelligence, medical imaging, ethics, medico-legal issues, patient data, communication, Psychology, BF1-990

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2021.710982/full; https://doaj.org/toc/1664-1078

Access URL: https://doaj.org/article/18cb24720213412e9c72e788d3c9e49d

The Primacy of High B-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer

Authors: Alessandro Bevilacqua, Margherita Mottola, Fabio Ferroni, Alice Rossi, Giampaolo Gavelli, Domenico Barone

Source: Diagnostics, Vol 11, Iss 5, p 739 (2021)

Subject Terms: prostate cancer, radiomics, machine learning, tumor staging, cancer heterogeneity, image processing, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/11/5/739; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/2a66c88695b642b3a0fdff7a1e7981c9

The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer

Authors: Francesca Coppola, Margherita Mottola, Silvia Lo Monaco, Arrigo Cattabriga, Maria Adriana Cocozza, Jia Cheng Yuan, Caterina De Benedittis, Dajana Cuicchi, Alessandra Guido, Fabiola Lorena Rojas Llimpe, Antonietta D’Errico, Andrea Ardizzoni, Gilberto Poggioli, Lidia Strigari, Alessio Giuseppe Morganti, Franco Bazzoli, Luigi Ricciardiello, Rita Golfieri, Alessandro Bevilacqua

Source: Diagnostics, Vol 11, Iss 5, p 795 (2021)

Subject Terms: rectal cancer, radiomics, MRI, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/11/5/795; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/8d2ff436a6224f68be2ffbe330620aed