Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …
An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image
Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and
one of the primary causes of anovulatory infertility in women globally. The detection of …
one of the primary causes of anovulatory infertility in women globally. The detection of …
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Abstract COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million
fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute …
fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute …
A novel block imaging technique using nine artificial intelligence models for COVID-19 disease classification, characterization and severity measurement in lung …
Computer Tomography (CT) is currently being adapted for visualization of COVID-19 lung
damage. Manual classification and characterization of COVID-19 may be biased depending …
damage. Manual classification and characterization of COVID-19 may be biased depending …
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Automated stratification of liver disease in ultrasound: an online accurate feature classification paradigm
Purpose Fatty liver disease (FLD) is one of the most common diseases in liver. Early
detection can improve the prognosis considerably. Using ultrasound for FLD detection is …
detection can improve the prognosis considerably. Using ultrasound for FLD detection is …
Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment …
Visual or manual characterization and classification of atherosclerotic plaque lesions are
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain …
Wilson's disease (WD) is caused by copper accumulation in the brain and liver, and if not
treated early, can lead to severe disability and death. WD has shown white matter …
treated early, can lead to severe disability and death. WD has shown white matter …