AIMC Topic: Algorithms

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Adaptive batch-fusion self-supervised learning for ultrasound image pretraining.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 8, 2025
Medical self-supervised learning eliminates the reliance on labels, making feature extraction simple and efficient. The intricate design of pretext tasks in single-modal self-supervised analysis presents challenges, however, compounded by an excessiv...
Algorithms Ultrasonography Supervised Machine Learning Humans
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MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models.

Journal of biomedical informatics Jul 8, 2025
Large language models (LLMs) have demonstrated remarkable potential in medical applications. However, they still face critical challenges such as hallucinations, knowledge inconsistency, and insufficient integration of domain-specific medical experti...
Natural Language Processing Medical Informatics Algorithms Language Humans Large Language Models
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Comprehensive protein datasets and benchmarking for liquid-liquid phase separation studies.

Genome biology Jul 8, 2025
BACKGROUND: Proteins self-organize in dynamic cellular environments by assembling into reversible biomolecular condensates through liquid-liquid phase separation (LLPS). These condensates can comprise single or multiple proteins, with different roles...
Biomolecular Condensates Algorithms Databases, Protein Proteins Phase Separation Benchmarking
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Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials.

Scientific reports Jul 8, 2025
In this work, we proposed a novel inferential procedure assisted by machine learning based adjustment for randomized control trials. The method was developed under the Rosenbaum's framework of exact tests in randomized experiments with covariate adju...
Randomized Controlled Trials as Topic Algorithms Computer Simulation Humans Machine Learning
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Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Scientific reports Jul 8, 2025
Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) remain the leading causes of preventable deaths after trauma. Understanding the genetic underpinnings and molecular mechanisms of TIC is crucial for de...
Wounds and Injuries Humans Computational Biology Biomarkers Blood Coagulation Disorders Gene Expression Profiling Machine Learning Gene Regulatory Networks Female Algorithms Male
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study.

Scientific reports Jul 8, 2025
The precise diagnosis of heart disease represents a significant obstacle within the medical field, demanding the implementation of advanced diagnostic instruments and methodologies. This article conducts an extensive examination of the efficacy of di...
Humans Machine Learning Algorithms Neural Networks, Computer Heart Diseases Support Vector Machine Diagnosis, Computer-Assisted Bayes Theorem Deep Learning
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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data.

Scientific reports Jul 8, 2025
Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. Early and accurate diagnosis is crucial for effective management and treatment. This study investigates the application of...
Corneal Topography Early Diagnosis Cornea Male Adolescent Keratoconus Humans Adult Biomechanical Phenomena Algorithms Reproducibility of Results Female Young Adult Machine Learning
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Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Scientific reports Jul 8, 2025
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, emphasizing the need for accurate and early diagnosis. Electrocardiograms (ECG) provide a non-invasive means of diagnosing various cardiac conditions. However, traditional m...
Humans Algorithms Electrocardiography Signal Processing, Computer-Assisted Autoencoder Cardiovascular Diseases Deep Learning
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A novel model for expanding horizons in sign Language recognition.

Scientific reports Jul 8, 2025
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the correspon...
Sign Language Deep Learning Gestures Humans Algorithms
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning.

Scientific reports Jul 8, 2025
The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomalies and the assurance of their long-term operational safety. This research examines sensor data to evaluate variations in critical parameters and their...
Humans Deep Learning Algorithms
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