Utility of a deep-learning algorithm to guide novices to acquire echocardiograms for limited diagnostic use
Importance Artificial intelligence (AI) has been applied to analysis of medical imaging in
recent years, but AI to guide the acquisition of ultrasonography images is a novel area of …
recent years, but AI to guide the acquisition of ultrasonography images is a novel area of …
Multireader diagnostic accuracy imaging studies: fundamentals of design and analysis
NA Obuchowski, J Bullen - Radiology, 2022 - pubs.rsna.org
The design and analysis of multireader multicase (MRMC) studies are quite challenging.
These studies differ from most medical studies because they need a reference standard and …
These studies differ from most medical studies because they need a reference standard and …
Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection
P Raciti, J Sue, JA Retamero… - … of Pathology & …, 2023 - meridian.allenpress.com
Context.—Prostate cancer diagnosis rests on accurate assessment of tissue by a
pathologist. The application of artificial intelligence (AI) to digitized whole slide images …
pathologist. The application of artificial intelligence (AI) to digitized whole slide images …
Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges
Purpose To introduce developers to medical device regulatory processes and data
considerations in artificial intelligence and machine learning (AI/ML) device submissions …
considerations in artificial intelligence and machine learning (AI/ML) device submissions …
Advancing regulatory science with computational modeling for medical devices at the FDA's Office of Science and Engineering Laboratories
TM Morrison, P Pathmanathan, M Adwan… - Frontiers in …, 2018 - frontiersin.org
Protecting and promoting public health is the mission of the US Food and Drug
Administration (FDA). FDA's Center for Devices and Radiological Health (CDRH), which …
Administration (FDA). FDA's Center for Devices and Radiological Health (CDRH), which …
Diagnostic Accuracy of Multiparametric MRI versus 68Ga-PSMA-11 PET/MRI for Extracapsular Extension and Seminal Vesicle Invasion in …
Background Recent studies have reported the additive value of combined gallium 68 (68Ga)-
labeled Glu-urea-Lys (Ahx)-HBED-CC ligand targeting the prostate-specific membrane …
labeled Glu-urea-Lys (Ahx)-HBED-CC ligand targeting the prostate-specific membrane …
[图书][B] Statistical evaluation of diagnostic performance: topics in ROC analysis
KH Zou, A Liu, AI Bandos, L Ohno-Machado… - 2011 - books.google.com
Statistical evaluation of diagnostic performance in general and Receiver Operating
Characteristic (ROC) analysis in particular are important for assessing the performance of …
Characteristic (ROC) analysis in particular are important for assessing the performance of …
Evaluation of computer‐aided detection and diagnosis systemsa)
Computer‐aided detection and diagnosis (CAD) systems are increasingly being used as an
aid by clinicians for detection and interpretation of diseases. Computer‐aided detection …
aid by clinicians for detection and interpretation of diseases. Computer‐aided detection …
Comparison of mammography and mammography with supplemental whole-breast US tomography for cancer detection in patients with dense breasts
MW Yamashita, LH Larsen, J Perez, AV Edwards… - Radiology, 2024 - pubs.rsna.org
Background Women with dense breasts benefit from supplemental cancer screening with
US, but US has low specificity. Purpose To evaluate the performance of breast US …
US, but US has low specificity. Purpose To evaluate the performance of breast US …
In silico imaging clinical trials: cheaper, faster, better, safer, and more scalable
A Badano - Trials, 2021 - Springer
Imaging clinical trials can be burdensome and often delay patient access to novel, high-
quality medical devices. Tools for in silico imaging trials have significantly improved in …
quality medical devices. Tools for in silico imaging trials have significantly improved in …