Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …
understanding of cancer's biology and behavior in response to standard therapy. It also …
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A …
Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …
How do machines learn? artificial intelligence as a new era in medicine
O Koteluk, A Wartecki, S Mazurek… - Journal of Personalized …, 2021 - mdpi.com
With an increased number of medical data generated every day, there is a strong need for
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
reliable, automated evaluation tools. With high hopes and expectations, machine learning …
[HTML][HTML] Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data …
AK Dubey, GL Chabert, A Carriero, A Pasche… - Diagnostics, 2023 - mdpi.com
Background and motivation: Lung computed tomography (CT) techniques are high-
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
[HTML][HTML] Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease: A narrative review
V Viswanathan, A Puvvula, AD Jamthikar… - World journal of …, 2021 - ncbi.nlm.nih.gov
Abstract Coronavirus disease 2019 (COVID-19) is a global pandemic where several
comorbidities have been shown to have a significant effect on mortality. Patients with …
comorbidities have been shown to have a significant effect on mortality. Patients with …
Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold …
Abstract Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk
assessment have shown promise in clinical decisions. However, they usually predict binary …
assessment have shown promise in clinical decisions. However, they usually predict binary …
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …
The link between PD and cardiovascular disease (CVD) is not available, leading to …
COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …