AI Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

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Machine Learning Identification and Classification of Mitosis and Migration of Cancer Cells in a Lab-on-CMOS Capacitance Sensing Platform.

IEEE journal of biomedical and health informatics Feb 10, 2025
Cell culture assays play a vital role in various fields of biology. Conventional assay techniques like immunohistochemistry, immunofluorescence, and flow cytometry offer valuable insights into cell phenotype and behavior. However, each of these techn...
Lab-On-A-Chip Devices Mitosis Cell Line, Tumor Electric Capacitance Single-Cell Analysis Humans Cell Movement Machine Learning
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Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks.

IEEE journal of biomedical and health informatics Feb 10, 2025
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM) of electroencephalogram (EEG) signals plays a critical role in accurate classification. Given that SCMs are symmetric positive definite (SPD), Riema...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Algorithms Neural Networks, Computer Brain Imagination
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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...
Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Child Electrocardiography Male Signal Processing, Computer-Assisted Adolescent Diagnosis, Computer-Assisted Child, Preschool Deep Learning Humans Female
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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...
Humans Neural Networks, Computer Male Prostatic Neoplasms Deep Learning Polymorphism, Single Nucleotide Image Interpretation, Computer-Assisted Neoplasm Metastasis
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Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemannian space has been frequently utilized to extract spatial features from electroencephalogram (EEG) signals. However, the intrinsic high dimensionality...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Dimensionality Reduction Principal Component Analysis Electroencephalography Humans Neural Networks, Computer Machine Learning Algorithms Brain Adult
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ADR-DQPU: A Novel ADR Signal Detection Using Deep Reinforcement and Positive-Unlabeled Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
The medical community has grappled with the challenge of analysis and early detection of severe and unknown adverse drug reactions (ADRs) from Spontaneous Reporting Systems (SRSs) like the FDA Adverse Event Reporting System (FAERS), which often lack ...
Adverse Drug Reaction Reporting Systems Humans Machine Learning Algorithms Deep Learning Drug-Related Side Effects and Adverse Reactions
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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....
Artificial Intelligence COVID-19 Female Humans Radiography, Thoracic SARS-CoV-2 Male Bias
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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...
Humans Neural Networks, Computer Bias SARS-CoV-2 COVID-19 Male Female Deep Learning
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CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization.

IEEE journal of biomedical and health informatics Feb 10, 2025
The subcellular localization of circular RNAs (circRNAs) is crucial for understanding their functional relevance and regulatory mechanisms. CircRNA subcellular localization exhibits variations across different cell lines, demonstrating the diversity ...
RNA, Circular Humans Neural Networks, Computer Deep Learning Computational Biology Cell Line
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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...
Machine Learning Female Adult Humans Seizures Male Signal Processing, Computer-Assisted Middle Aged Electroconvulsive Therapy Electroencephalography
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