AIMC Topic: Algorithms

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Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom...
Parkinson Disease Early Diagnosis Algorithms Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Handwriting
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FSID: a novel approach to human activity recognition using few-shot weight imprinting.

Scientific reports Jul 1, 2025
Accurate recognition of human activities from gait sensory data plays a vital role in healthcare and wellness monitoring. However, conventional deep learning models for Human Activity Recognition (HAR) often require large labeled datasets and extensi...
Human Activities Deep Learning Gait Humans Algorithms
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Palpation Humans Percussion Neural Networks, Computer Signal Processing, Computer-Assisted Fourier Analysis Ensemble Learning Machine Learning Algorithms Support Vector Machine
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Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports Jul 1, 2025
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...
Models, Theoretical Fuzzy Logic Monitoring, Physiologic Remote Sensing Technology Telemedicine Remote Patient Monitoring Humans Algorithms Wearable Electronic Devices
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Male Postoperative Complications Infant Child, Preschool Acute Kidney Injury Humans Child Electronic Health Records Algorithms Cardiopulmonary Bypass Female
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A supervised machine learning approach with feature selection for sex-specific biomarker prediction.

NPJ systems biology and applications Jul 1, 2025
Biomarkers are crucial in aiding in disease diagnosis, prognosis, and treatment selection. Machine learning (ML) has emerged as an effective tool for identifying novel biomarkers and enhancing predictive modelling. However, sex-based bias in ML algor...
Sex Factors Waist Circumference Uric Acid Supervised Machine Learning Male Middle Aged Blood Glucose Body Mass Index Blood Pressure Algorithms Biomarkers Female Humans Machine Learning
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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion.

Scientific reports Jul 1, 2025
The most common types of kidneys and liver cancer are renal cell carcinoma (RCC) and hepatic cell carcinoma (HCC), respectively. Accurate grading of these carcinomas is essential for determining the most appropriate treatment strategies, including su...
Humans Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Grading Neural Networks, Computer Algorithms Deep Learning Kidney Neoplasms Carcinoma, Renal Cell
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Charting γ-secretase substrates by explainable AI.

Nature communications Jul 1, 2025
Proteases recognize substrates by decoding sequence information-an essential cellular process elusive when recognition motifs are absent. Here, we unravel this problem for γ-secretase, an intramembrane-cleaving protease associated with Alzheimer's di...
Protein Binding Alzheimer Disease Amyloid Precursor Protein Secretases Substrate Specificity Humans Machine Learning Algorithms
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Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety.

Scientific reports Jul 1, 2025
In today's digital environment, effectively detecting and censoring harmful and offensive objects such as weapons, addictive substances, and violent content on online platforms is increasingly important for user safety. This study introduces an Enhan...
Safety Deep Learning Internet Humans Algorithms
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A highly generalized federated learning algorithm for brain tumor segmentation.

Scientific reports Jul 1, 2025
Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The i...
Humans Artificial Intelligence Image Processing, Computer-Assisted Magnetic Resonance Imaging Federated Learning Machine Learning Algorithms Brain Neoplasms
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