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Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
Clinical applications of artificial intelligence—an updated overview
Ș Busnatu, AG Niculescu, A Bolocan… - Journal of clinical …, 2022 - mdpi.com
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
CataractNet: An automated cataract detection system using deep learning for fundus images
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …
and timely detection of cataracts is the best way to control the risk and avoid blindness …
[HTML][HTML] Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance
in various medical fields. However, their clinical application remains challenging because of …
in various medical fields. However, their clinical application remains challenging because of …
AI applications in renal pathology
The explosive growth of artificial intelligence (AI) technologies, especially deep learning
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …
methods, has been translated at revolutionary speed to efforts in AI-assisted healthcare …
Smartpathk: a platform for teaching glomerulopathies using machine learning
NLS Aldeman, KM de Sá Urtiga Aita, VP Machado… - BMC medical …, 2021 - Springer
Background With the emergence of the new coronavirus pandemic (COVID-19), distance
learning, especially that mediated by information and digital communication technologies …
learning, especially that mediated by information and digital communication technologies …
Enhancing ocular healthcare: deep learning-based multi-class diabetic eye disease segmentation and classification
M Vadduri, P Kuppusamy - IEEE Access, 2023 - ieeexplore.ieee.org
Diabetic Eye Disease (DED) is a serious retinal illness that affects diabetics. The timely
identification and precise categorization of multi-class DED within retinal fundus images play …
identification and precise categorization of multi-class DED within retinal fundus images play …
MLP-UNet: glomerulus segmentation
Glomerulus segmentation in kidney tissue segments is a crucial nephropathology process
used to diagnose renal diseases effectively. This study proposes a novel and robust …
used to diagnose renal diseases effectively. This study proposes a novel and robust …
Cataract and glaucoma detection based on Transfer Learning using MobileNet
A serious eye condition called cataracts can cause blindness. Early and accurate cataract
detection is the most effective method for reducing risk and averting blindness. The optic …
detection is the most effective method for reducing risk and averting blindness. The optic …
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators
Diagnosis of diabetic kidney disease (DKD) mainly relies on screening the morphological
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …
variations and internal lesions of glomeruli from pathological kidney biopsy. The prominent …