AIMC Topic: Diagnosis, Computer-Assisted
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.
Scientific reports
May 23, 2025
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utiliz...
Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications.
Computer methods and programs in biomedicine
May 21, 2025
BACKGROUND AND OBJECTIVE: Visual-language foundation models (VLMs) have garnered attention for their numerous advantages and significant potential in AI-aided diagnosis and treatment, driving widespread applications in medical tasks. This study analy...
Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification.
Scientific reports
May 4, 2025
White blood cell (WBC) classification is a crucial step in assessing a patient's health and validating medical treatment in the medical domain. Hence, efficient computer vision solutions to the classification of WBC will be an effective aid to medica...
A practical approach for colorectal cancer diagnosis based on machine learning.
PloS one
Apr 29, 2025
In this paper, we present the results of applying machine learning models to build a Colorectal Cancer Diagnosis system. The methodology encompasses six key steps: collecting raw data from Electronic Medical Records (EMRs), revising feature attribute...
Enhanced glaucoma classification through advanced segmentation by integrating cup-to-disc ratio and neuro-retinal rim features.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 28, 2025
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the optic nerve, leading to gradual, irreversible vision loss, often without noticeable symptoms. Subtle signs like mild eye redness, slightly blurred vision,...
Artificial Intelligence in Diagnosis of Heart Failure.
Journal of the American Heart Association
Apr 10, 2025
Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Although there have been significant strides in understanding the underlying mechanisms of HF, several challenges persist, particularly in the accurat...
One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics.
Scientific reports
Apr 9, 2025
Machine learning (ML) models are increasingly being applied to diagnose and predict disease, but face technical challenges such as population drift, where the training and real-world deployed data distributions differ. This phenomenon can degrade mod...
ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning.
BMC cardiovascular disorders
Apr 7, 2025
A heart arrhythmia refers to a set of conditions characterized by irregular heart- beats, with an increasing mortality rate in recent years. Regular monitoring is essential for effective management, as early detection and timely treatment greatly imp...
Application of an Automated Deep Learning Program to A Diagnostic Classification Model: Differentiating High-Risk Adenomas Among Colorectal Polyps 10 mm or Smaller.
Journal of digestive diseases
Apr 2, 2025
OBJECTIVE: This study aimed to develop a computer-aided diagnosis (CADx) model using an automated deep learning (DL) program to classify low- and high-risk adenomas among colorectal polyps ≤ 10 mm with standard white-light endoscopy.
Computer-assisted diagnosis to improve diagnostic pathology: A review.
Indian journal of pathology & microbiology
Mar 31, 2025
With an increasing demand for accuracy and efficiency in diagnostic pathology, computer-assisted diagnosis (CAD) emerges as a prominent and transformative solution. This review aims to explore the practical applications, implications, strengths, and ...
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