AIMC Topic: Humans

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Enhancing diabetes risk prediction through focal active learning and machine learning models.

PloS one Jul 8, 2025
To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based on focal active learning strategies combined with machine learning models. Existing machine learning models often suffer from poor performance on imbal...
Diabetes Mellitus Male Risk Assessment Machine Learning Female Risk Factors Humans
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Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PloS one Jul 8, 2025
PURPOSE: Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, standard machine learning algorithms are not perfectly suited for clinical data since the data are interconnected and may contain time series. As show...
Humans Neural Networks, Computer Blood Cell Count Graph Neural Networks Machine Learning Algorithms Sepsis
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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.

PloS one Jul 8, 2025
BACKGROUND: Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. While machine learn...
Humans Iran Bayes Theorem Accidents, Traffic Weather Machine Learning Big Data
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network.

PloS one Jul 8, 2025
Accurate risk assessment in international trade settlement has become increasingly critical as global financial transactions grow in scale and complexity. This study proposes a hybrid model-Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)-to...
Genetic Algorithms Fuzzy Logic Commerce Humans Neural Networks, Computer Algorithms Risk Assessment Support Vector Machine
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Renal failure Jul 7, 2025
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models...
Nephrology Nephrologists Reproducibility of Results Renal Insufficiency, Chronic Peer Review, Research Machine Learning Acute Kidney Injury Humans Artificial Intelligence
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Hippocampal blood oxygenation predicts choices about everyday consumer experiences: A deep-learning approach.

Proceedings of the National Academy of Sciences of the United States of America Jul 7, 2025
This research investigates the neurophysiological mechanisms of experiential versus monetary choices under risk. While ventral striatum and insula activity are instrumental in predicting monetary choices, we find that hippocampal activity plays a key...
Humans Female Young Adult Adult Hippocampus Memory, Episodic Choice Behavior Magnetic Resonance Imaging Ventral Striatum Decision Making Oxygen Male Deep Learning
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Current and future applications of robotics in structural heart interventions.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology Jul 7, 2025
Robotics entered the cardiovascular field in the late 1990s with a robot-assisted coronary artery bypass graft. Since then, the use of robots has become a common part of cardiovascular surgery in several types of interventions. The experience in tran...
Humans Animals Cardiac Surgical Procedures Cardiac Catheterization Echocardiography, Transesophageal Robotics Robotic Surgical Procedures Percutaneous Coronary Intervention
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Filter-type neural network-based counter-pulsation control in pulsatile ECMO: improving heartbeat-pulse discrimination and synchronization accuracy.

Biomedical engineering online Jul 7, 2025
Implementing counter-pulsation (CP) control in pulsatile extracorporeal membrane oxygenator (p-ECMO) systems offers a refined approach to mitigate risks commonly associated with conventional ECMOs. To attain CP between the p-ECMO and heart, accurate ...
Signal Processing, Computer-Assisted Algorithms Heart Rate Electrocardiography Extracorporeal Membrane Oxygenation Pulsatile Flow Blood Pressure Humans Neural Networks, Computer
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Whole‑exome evolutionary profiling of osteosarcoma uncovers metastasis‑related driver mutations and generates an independently validated predictive classifier.

Journal of translational medicine Jul 7, 2025
BACKGROUND: Osteosarcoma is the most common primary malignant bone tumor, with high invasiveness and metastatic potential and a poor prognosis in patients with metastatic cancer. Despite the rapid advancements in genomics in recent years that provide...
Exome Adult Male Humans Adolescent Female Osteosarcoma Mutation Reproducibility of Results Bone Neoplasms Neoplasm Metastasis Evolution, Molecular Exome Sequencing
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Medical simulation: an essential tool for training, diagnosis, and treatment in the 21st century.

BMC medical education Jul 7, 2025
BACKGROUND: Medical simulation is a global trend that improves disease interpretation, diagnostic skills, and clinical abilities, transforming them into skills for the practitioner. Simulator classes should be part of continuing medical education, ge...
Neurology Simulation Training Clinical Competence Randomized Controlled Trials as Topic Education, Medical Humans
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