AIMC Topic: Deep Learning

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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Scientific reports Aug 9, 2025
Brain stroke is an illness which affects almost every age group, particularly people over 65. There are two significant kinds of strokes: ischemic and hemorrhagic strokes. Blockage of brain vessels causes an ischemic stroke, while cracks in blood ves...
Deep Learning Persons with Disabilities Algorithms Humans Stroke Artificial Intelligence Image Processing, Computer-Assisted Brain
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Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.

Scientific reports Aug 9, 2025
Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lymphoid progenitor cells. It affects both children and adults and is the most predominant form of infantile cancer. Currently, there has been significan...
Child Early Detection of Cancer Microscopy Neural Networks, Computer Deep Learning Humans Precursor Cell Lymphoblastic Leukemia-Lymphoma
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The integration of psychological education and moral dilemmas from a value perspective.

BMC psychology Aug 9, 2025
The rapid evolution of internet technologies has emphasized the importance of integrating psychological education with moral dilemmas across diverse sectors. This paper investigates the interrelationship between psychological education and moral reas...
Deep Learning Humans Morals Ethical Dilemmas
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Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization.

BMC medical informatics and decision making Aug 9, 2025
BACKGROUND: Chronic wounds (CWs) represent a significant and growing challenge in healthcare due to their prolonged healing times, complex management, and associated costs. Inadequate wound assessment by healthcare professionals (HCPs), often due to ...
Mobile Applications Chronic Disease Wounds and Injuries Data Collection Retrospective Studies Humans Deep Learning Artificial Intelligence
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Exploring the feasibility of AI-based analysis of histopathological variability in salivary gland tumours.

Scientific reports Aug 9, 2025
This study uses artificial intelligence (AI) for differentiation between salivary gland tumours (SGT) using digitised Haematoxylin and Eosin stained whole-slide images (WSI). Machine learning (ML) classifiers were developed and tested using 320 scann...
Salivary Gland Neoplasms Male Humans Middle Aged Female Neoplasm Grading Artificial Intelligence Deep Learning Aged Feasibility Studies Machine Learning Adult
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models.

Scientific reports Aug 9, 2025
Accurate forecasting of diabetes burden is essential for healthcare planning, resource allocation, and policy-making. While deep learning models have demonstrated superior predictive capabilities, their real-world applicability is constrained by comp...
Diabetes Mellitus Models, Statistical Disability-Adjusted Life Years Cost of Illness Forecasting Humans Deep Learning
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Lateral flow and colorimetric assay for ketamine detection reinforced with deep learning model interfaced with mobile app for smart alert.

Mikrochimica acta Aug 9, 2025
Point-of-care (POC) devices have grown in popularity due to their ease of use, low cost, and speedy on-site diagnostic capabilities. This study focuses on ketamine detection by colorimetric and lateral flow assays (LFA), with aptamer-based LFA emergi...
Deep Learning Colorimetry Aptamers, Nucleotide Humans Point-of-Care Systems Metal Nanoparticles Mobile Applications Gold Limit of Detection Ketamine
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Enhancing schizophrenia diagnosis efficiency with EEGNet: a simplified recognition model based on γ band features.

Psychiatry research. Neuroimaging Aug 8, 2025
OBJECTIVE: This study aims to develop an objective and efficient diagnostic model for schizophrenia (SCZ) by integrating electroencephalogram (EEG) signals with deep learning techniques. Building on previous research, γ wave activity is selected as a...
Female Electroencephalography Young Adult Schizophrenia Male Humans Adult Gamma Rhythm Deep Learning
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Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep Learning-Assisted Plasmonic Nanopore.

The journal of physical chemistry letters Aug 8, 2025
Single-molecule detection of post-translational modifications (PTMs) such as phosphorylation plays a crucial role in early diagnosis of diseases and therapeutics development. Although single-molecule surface-enhanced Raman spectroscopy (SM-SERS) dete...
Deep Learning Tyrosine Spectrum Analysis, Raman Phosphorylation Nanopores Serine
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A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.

Scientific reports Aug 8, 2025
Effective financial risk management in healthcare systems requires intelligent decision-making that balances treatment quality with cost efficiency. This paper proposes a novel hybrid framework that integrates reinforcement learning (RL) with knowled...
Deep Learning Decision Making Risk Management Neural Networks, Computer Delivery of Health Care Humans
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