Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
[HTML][HTML] Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …
medical attention and clinical signs. It is subjective and does not have a good prognosis …
[HTML][HTML] Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
Five strategies for bias estimation in artificial intelligence-based hybrid deep learning for acute respiratory distress syndrome COVID-19 lung infected patients using …
Coronavirus 2019 (COVID-19) has led to a global pandemic infecting 224 million people
and has caused 4.6 million deaths. Nearly 80 Artificial Intelligence (AI) articles have been …
and has caused 4.6 million deaths. Nearly 80 Artificial Intelligence (AI) articles have been …
[HTML][HTML] COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is
important for the diagnosis of lung severity. The process of automated lung segmentation is …
important for the diagnosis of lung severity. The process of automated lung segmentation is …
[HTML][HTML] Cardiovascular/stroke risk stratification in diabetic foot infection patients using deep learning-based artificial intelligence: an investigative study
NN Khanna, MA Maindarkar, V Viswanathan… - Journal of clinical …, 2022 - mdpi.com
A diabetic foot infection (DFI) is among the most serious, incurable, and costly to treat
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
Systematic review of artificial intelligence in acute respiratory distress syndrome for COVID-19 lung patients: a biomedical imaging perspective
SARS-CoV-2 has infected over∼ 165 million people worldwide causing Acute Respiratory
Distress Syndrome (ARDS) and has killed∼ 3.4 million people. Artificial Intelligence (AI) has …
Distress Syndrome (ARDS) and has killed∼ 3.4 million people. Artificial Intelligence (AI) has …
Artificial intelligence in cardiovascular prevention: new ways will open new doors
M Ciccarelli, F Giallauria, A Carrizzo… - Journal of …, 2023 - journals.lww.com
Prevention and effective treatment of cardiovascular disease are progressive issues that
grow in tandem with the average age of the world population. Over recent decades, the …
grow in tandem with the average age of the world population. Over recent decades, the …
[HTML][HTML] Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence …
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
[HTML][HTML] COVLIAS 1.0 vs. MedSeg: artificial intelligence-based comparative study for automated COVID-19 computed tomography lung segmentation in Italian and …
(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for
COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were …
COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were …