Radiomics, machine learning, and artificial intelligence—what the neuroradiologist needs to know
Purpose Artificial intelligence (AI) is playing an ever-increasing role in Neuroradiology.
Methods When designing AI-based research in neuroradiology and appreciating the …
Methods When designing AI-based research in neuroradiology and appreciating the …
Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Artificial intelligence and machine learning in radiology: current state and considerations for routine clinical implementation
JL Wichmann, MJ Willemink… - Investigative …, 2020 - journals.lww.com
Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …
last decade, the field of radiology has seen tremendous innovation and also public focus …
High-dimensional role of AI and machine learning in cancer research
E Capobianco - British journal of cancer, 2022 - nature.com
Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …
several advantages, primarily scaling up the information processing and increasing the …
Benchmarking feature selection methods in radiomics
A Demircioğlu - Investigative radiology, 2022 - journals.lww.com
Objectives A critical problem in radiomic studies is the high dimensionality of the datasets,
which stems from small sample sizes and many generic features extracted from the volume …
which stems from small sample sizes and many generic features extracted from the volume …
Stage III non-small-cell lung cancer: an overview of treatment options
Lung cancer is the second-most commonly diagnosed cancer and the leading cause of
cancer death worldwide. The most common histological type is non-small-cell lung cancer …
cancer death worldwide. The most common histological type is non-small-cell lung cancer …
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …
high-volume model of trauma radiology. No prior scoping review has been undertaken to …
[HTML][HTML] Deep convolutional neural network–based diagnosis of anterior cruciate ligament tears: performance comparison of homogenous versus heterogeneous …
C Germann, G Marbach, F Civardi… - Investigative …, 2020 - journals.lww.com
Objectives The aim of this study was to clinically validate a Deep Convolutional Neural
Network (DCNN) for the detection of surgically proven anterior cruciate ligament (ACL) tears …
Network (DCNN) for the detection of surgically proven anterior cruciate ligament (ACL) tears …
Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference
B Fritz, G Marbach, F Civardi, SF Fucentese… - Skeletal radiology, 2020 - Springer
Objective To clinically validate a fully automated deep convolutional neural network (DCNN)
for detection of surgically proven meniscus tears. Materials and methods One hundred …
for detection of surgically proven meniscus tears. Materials and methods One hundred …
Performance of a deep convolutional neural network for MRI-based vertebral body measurements and insufficiency fracture detection
Objectives The aim is to validate the performance of a deep convolutional neural network
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …