Explainable AI: A review of applications to neuroimaging data
Deep neural networks (DNNs) have transformed the field of computer vision and currently
constitute some of the best models for representations learned via hierarchical processing in …
constitute some of the best models for representations learned via hierarchical processing in …
Artificial intelligence: reshaping the practice of radiological sciences in the 21st century
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …
A road map for translational research on artificial intelligence in medical imaging: from the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop
B Allen Jr, SE Seltzer, CP Langlotz, KP Dreyer… - Journal of the American …, 2019 - Elsevier
Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …
Explainable deep learning for personalized age prediction with brain morphology
Predicting brain age has become one of the most attractive challenges in computational
neuroscience due to the role of the predicted age as an effective biomarker for different brain …
neuroscience due to the role of the predicted age as an effective biomarker for different brain …
Deep learning with RGB and thermal images onboard a drone for monitoring operations
This article describes the artificial intelligence (AI) component of a drone for monitoring and
patrolling tasks associated with disaster relief missions in specific restricted disaster …
patrolling tasks associated with disaster relief missions in specific restricted disaster …
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease
In clinical practice, several standardized neuropsychological tests have been designed to
assess and monitor the neurocognitive status of patients with neurodegenerative diseases …
assess and monitor the neurocognitive status of patients with neurodegenerative diseases …
Noninterpretive uses of artificial intelligence in radiology
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …
normally require intelligent action by a human. Much of the recent excitement about AI in the …
[HTML][HTML] Ethics of AI in pathology: current paradigms and emerging issues
C Chauhan, RR Gullapalli - The American journal of pathology, 2021 - Elsevier
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-
making (ADM) paradigms, affecting many traditional fields of medicine, including pathology …
making (ADM) paradigms, affecting many traditional fields of medicine, including pathology …
Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort …
Background Body CT scans are frequently done for a wide range of clinical indications, but
potentially valuable biometric information typically goes unused. We aimed to compare the …
potentially valuable biometric information typically goes unused. We aimed to compare the …
Beauty is in the AI of the beholder: are we ready for the clinical integration of artificial intelligence in radiography? An exploratory analysis of perceived AI knowledge …
Introduction: The use of artificial intelligence (AI) in medical imaging and radiotherapy has
been met with both scepticism and excitement. However, clinical integration of AI is already …
been met with both scepticism and excitement. However, clinical integration of AI is already …