AIMC Topic: Male

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RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS).

IEEE journal of biomedical and health informatics Feb 10, 2025
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant mortality and morbidity among critically ill patients admitted to the Intensive Care Unit (ICU). The etiology related to ARDS can be highly heterogen...
Middle Aged Female Humans Respiratory Distress Syndrome Aged Natural Language Processing Algorithms Male Electronic Health Records
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WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging.

IEEE journal of biomedical and health informatics Feb 10, 2025
Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "black-box" nature has limited their clinical adoption. In this study, we propose WaveSleepNet, an interpretable neural network for sleep staging that re...
Electroencephalography Signal Processing, Computer-Assisted Polysomnography Adult Sleep Stages Humans Male Algorithms Deep Learning Neural Networks, Computer Female
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Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

Circulation. Arrhythmia and electrophysiology Feb 10, 2025
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia ...
Registries Atrial Fibrillation Heart Rate Treatment Outcome Catheter Ablation Action Potentials Electrophysiologic Techniques, Cardiac Predictive Value of Tests Middle Aged Phenotype Time Factors Humans Female Aged Electrocardiography Machine Learning Male
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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Humans Electrocardiography Female Signal Processing, Computer-Assisted Sleep Apnea Syndromes Adolescent Male Sleep Apnea, Obstructive Child, Preschool Diagnosis, Computer-Assisted Polysomnography Child Deep Learning
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M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways.

IEEE journal of biomedical and health informatics Feb 10, 2025
High-performance prediction of prostate cancer metastasis based on single nucleotide variations remains a challenge. Therefore, we developed a novel biologically informed deep learning framework, named M-NET, for the prediction of prostate cancer met...
Prostatic Neoplasms Image Interpretation, Computer-Assisted Neoplasm Metastasis Male Deep Learning Polymorphism, Single Nucleotide Humans Neural Networks, Computer
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Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.

IEEE journal of biomedical and health informatics Feb 10, 2025
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods from development to application. The complexity and integration of these methods could grow in conjunction with advances in AI and human-AI interactions....
Radiography, Thoracic Humans Artificial Intelligence COVID-19 Male Bias Female SARS-CoV-2
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UnBias: Unveiling Bias Implications in Deep Learning Models for Healthcare Applications.

IEEE journal of biomedical and health informatics Feb 10, 2025
The rapid integration of deep learning-powered artificial intelligence systems in diverse applications such as healthcare, credit assessment, employment, and criminal justice has raised concerns about their fairness, particularly in how they handle v...
COVID-19 Female SARS-CoV-2 Humans Neural Networks, Computer Male Deep Learning Bias
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EEG Temporal-Spatial Feature Learning for Automated Selection of Stimulus Parameters in Electroconvulsive Therapy.

IEEE journal of biomedical and health informatics Feb 10, 2025
The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be high if an excessive stimulus is applied to induce the necessary generalized seizure (GS); Conversely, inadequate stimulus results in failure. Recent...
Humans Machine Learning Female Adult Seizures Signal Processing, Computer-Assisted Electroconvulsive Therapy Male Middle Aged Electroencephalography
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A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness.

IEEE journal of biomedical and health informatics Feb 10, 2025
Sleep is a fundamental human activity, and automated sleep staging holds considerable investigational potential. Despite numerous deep learning methods proposed for sleep staging that exhibit notable performance, several challenges remain unresolved,...
Consciousness Disorders Supervised Machine Learning Electrooculography Sleep Stages Humans Female Adult Electroencephalography Signal Processing, Computer-Assisted Male Deep Learning
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Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging.

IEEE journal of biomedical and health informatics Feb 10, 2025
Diffusion magnetic resonance imaging (dMRI) is a non-invasive method for capturing the microanatomical information of tissues by measuring the diffusion weighted signals along multiple directions, which is widely used in the quantification of microst...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Connectome Brain Diffusion Magnetic Resonance Imaging Adult Male
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