[HTML][HTML] Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis prediction
Recent advances in artificial intelligence (AI) for cardiac computed tomography (CT) have
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
shown great potential in enhancing diagnosis and prognosis prediction in patients with …
Artificial intelligence: a review of current applications in hepatocellular carcinoma imaging
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …
Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow
L Canoni-Meynet, P Verdot, A Danner… - Diagnostic and …, 2022 - Elsevier
Purpose The main objective of this study was to compare radiologists' performance without
and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma …
and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma …
Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
B Lokaj, MT Pugliese, K Kinkel, C Lovis, J Schmid - European radiology, 2024 - Springer
Objective Although artificial intelligence (AI) has demonstrated promise in enhancing breast
cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various …
cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various …
The BUMPy road of peritoneal metastases in ovarian cancer
Ovarian cancer is the most common cause of death due to gynecologic malignancies, with
more than 70% of patients presenting with advanced stage disease at the time of diagnosis …
more than 70% of patients presenting with advanced stage disease at the time of diagnosis …
Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge
Y Belkouchi, M Lederlin, AB Afia, C Fabre… - Diagnostic and …, 2023 - Elsevier
Abstract Purpose In 2022, the French Society of Radiology together with the French Society
of Thoracic Imaging and CentraleSupelec organized their 13th data challenge. The aim was …
of Thoracic Imaging and CentraleSupelec organized their 13th data challenge. The aim was …
[HTML][HTML] A deep learning tool without muscle-by-muscle grading to differentiate myositis from facio-scapulo-humeral dystrophy using MRI
Purpose The purpose of this study was to assess the capabilities of a deep learning (DL)
tool to discriminate between type 1 facioscapulo-humeral dystrophy (FSHD1) and myositis …
tool to discriminate between type 1 facioscapulo-humeral dystrophy (FSHD1) and myositis …
Diagnosis of early biochemical recurrence after radical prostatectomy or radiation therapy in patients with prostate cancer: State of the art
J Zhang-Yin, F Montravers, S Montagne… - Diagnostic and …, 2022 - Elsevier
Biochemical recurrence after primary treatment in prostate cancer is not uncommon. A rising
serum prostate-specific antigen level represents a first sign of disease relapse. At this time of …
serum prostate-specific antigen level represents a first sign of disease relapse. At this time of …
Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregation
E Evain, C Raynaud, C Ciofolo-Veit, A Popoff… - Diagnostic and …, 2021 - Elsevier
Purpose The purpose of this study was to create a deep learning algorithm to infer the
benign or malignant nature of breast nodules using two-dimensional B-mode ultrasound …
benign or malignant nature of breast nodules using two-dimensional B-mode ultrasound …
Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge
Purpose The 2021 edition of the Artificial Intelligence Data Challenge was organized by the
French Society of Radiology together with the Centre National d'Études Spatiales and …
French Society of Radiology together with the Centre National d'Études Spatiales and …