A guide to cross-validation for artificial intelligence in medical imaging
Artificial intelligence (AI) is being increasingly used to automate and improve technologies
within the field of medical imaging. A critical step in the development of an AI algorithm is …
within the field of medical imaging. A critical step in the development of an AI algorithm is …
[HTML][HTML] Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem
Computer-aided-diagnosis and stratification of COVID-19 based on chest X-ray suffers from
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …
weak bias assessment and limited quality-control. Undetected bias induced by inappropriate …
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
M Chieregato, F Frangiamore, M Morassi, C Baresi… - Scientific reports, 2022 - nature.com
COVID-19 clinical presentation and prognosis are highly variable, ranging from
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
Artificial intelligence in brain tumor imaging: a step toward personalized medicine
M Cè, G Irmici, C Foschini, GM Danesini, LV Falsitta… - Current …, 2023 - mdpi.com
The application of artificial intelligence (AI) is accelerating the paradigm shift towards patient-
tailored brain tumor management, achieving optimal onco-functional balance for each …
tailored brain tumor management, achieving optimal onco-functional balance for each …
Self-supervised deep convolutional neural network for chest X-ray classification
Chest radiography is a relatively cheap, widely available medical procedure that conveys
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
key information for making diagnostic decisions. Chest X-rays are frequently used in the …
Artificial intelligence in emergency radiology: where are we going?
M Cellina, M Cè, G Irmici, V Ascenti, E Caloro… - Diagnostics, 2022 - mdpi.com
Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …
management of different pathologies is essential to saving patients' lives. Artificial …
Explainable machine-learning models for COVID-19 prognosis prediction using clinical, laboratory and radiomic features
The SARS-CoV-2 virus pandemic had devastating effects on various aspects of life: clinical
cases, ranging from mild to severe, can lead to lung failure and to death. Due to the high …
cases, ranging from mild to severe, can lead to lung failure and to death. Due to the high …
An intelligent sensor based decision support system for diagnosing pulmonary ailment through standardized chest x-ray scans
Academics and the health community are paying much attention to developing smart remote
patient monitoring, sensors, and healthcare technology. For the analysis of medical scans …
patient monitoring, sensors, and healthcare technology. For the analysis of medical scans …
Chest x-ray in emergency radiology: What artificial intelligence applications are available?
G Irmici, M Cè, E Caloro, N Khenkina, G Della Pepa… - Diagnostics, 2023 - mdpi.com
Due to its widespread availability, low cost, feasibility at the patient's bedside and
accessibility even in low-resource settings, chest X-ray is one of the most requested …
accessibility even in low-resource settings, chest X-ray is one of the most requested …
[HTML][HTML] Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Breast cancer is the most prevalent disease that poses a significant threat to women's
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …
health. Despite the Dynamic Contrast-Enhanced MRI (DCE-MRI) has been widely used for …