An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review

S Das, GK Nayak, L Saba, M Kalra, JS Suri… - Computers in biology and …, 2022 - Elsevier
Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

JS Suri, M Bhagawati, S Paul, A Protogeron… - Computers in biology …, 2022 - Elsevier
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …

A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework

M Biswas, L Saba, T Omerzu, AM Johri… - Journal of digital …, 2021 - Springer
Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide.
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …

[HTML][HTML] Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models

A Jamthikar, D Gupta, L Saba, NN Khanna… - Cardiovascular …, 2020 - ncbi.nlm.nih.gov
Background Statistically derived cardiovascular risk calculators (CVRC) that use
conventional risk factors, generally underestimate or overestimate the risk of cardiovascular …

Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for …

M Biswas, L Saba, S Chakrabartty, NN Khanna… - Computers in biology …, 2020 - Elsevier
Motivation The early screening of cardiovascular diseases (CVD) can lead to effective
treatment. Thus, accurate and reliable atherosclerotic carotid wall detection and plaque …

Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media …

KM Meiburger, F Marzola, G Zahnd, F Faita… - Computers in biology …, 2022 - Elsevier
After publishing an in-depth study that analyzed the ability of computerized methods to assist
or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements …

A review of ultrasound common carotid artery image and video segmentation techniques

CP Loizou - Medical & biological engineering & computing, 2014 - Springer
The determination of the wall thickness [intima–media thickness (IMT)], the delineation of the
atherosclerotic carotid plaque, the measurement of the diameter in the common carotid …

Improved correlation between carotid and coronary atherosclerosis SYNTAX score using automated ultrasound carotid bulb plaque IMT measurement

N Ikeda, A Gupta, N Dey, S Bose, S Shafique… - Ultrasound in medicine …, 2015 - Elsevier
Described here is a detailed novel pilot study on whether the SYNTAX (Synergy between
percutaneous coronary intervention with TAXUS and cardiac surgery) score, a measure of …

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A …

NN Khanna, AD Jamthikar, D Gupta… - Computers in biology …, 2019 - Elsevier
Abstract Motivation AtheroEdge Composite Risk Score (AECRS1. 0 10yr) is an integrated
stroke/cardiovascular risk calculator that was recently developed and computes the 10-year …

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: a …

NN Khanna, AD Jamthikar, T Araki, D Gupta… - …, 2019 - Wiley Online Library
Motivation This study presents a novel nonlinear model which can predict 10‐year carotid
ultrasound image‐based phenotypes by fusing nine traditional cardiovascular risk factors …