Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 48,471 to 48,480 of 224,199 articles
Trimodal single-cell profiling of transcriptome, epigenome and 3D genome in complex tissues with scHiCAR.
Nature biotechnology
Feb 19, 2026
The three-dimensional (3D) organization of cis-regulatory elements (CREs) is critical in transcription control. However, capturing transcriptome, epigenome and 3D genome from the same single cells remains challenging. Here we present scHiCAR (single-... read more
Classification of dysphagia severity after lateral medullary infarction with deep learning.
Scientific reports
Feb 19, 2026
Dysphagia is a common and debilitating complication in patients with lateral medullary infarction (LMI), affecting up to 100% of cases and significantly impairing quality of life. Accurate classification of early dysphagia severity is essential for t... read more
An interdisciplinary machine learning-based approach for predicting corn grain yield under biofertilizer applications.
Scientific reports
Feb 19, 2026
Hybrid deep neural network with PCA based features optimization for enhancing brain tumor classification.
Scientific reports
Feb 19, 2026
Brain tumors have been an important medical concern. This is primarily due to their growth patterns have been hard to predict and their medical needs have been complicated. This work proposes emphasis on a hybrid PCA DenseNet121 convolutional neural ... read more
Machine learning based classification of female genital mutilation in 11 Sub-Saharan African countries using demographic and health survey data.
Scientific reports
Feb 19, 2026
Female Genital mutilation (FGM) has been associated with numerous negative health effects like sexual dysfunction, chronic pain, infections, infertility, and an increased risk of maternal mortality. To date, no recognized studies in sub-Saharan Afric... read more
Pneumonia detection from enhanced chest X-Ray images based on Double SGAN model.
Scientific reports
Feb 19, 2026
Medical imaging plays a crucial role in clinical diagnosis, however, deep learning models often struggle with imbalanced datasets, which has a negative impact on the accuracy and robustness of pneumonia image classification. This study proposes a dee... read more
Deep learning-based battery health prediction for enhancing electric vehicle performance.
Scientific reports
Feb 19, 2026
Reliable and sustainable battery diagnostics are essential for advancing electric vehicle (EV) technologies and fulfilling Sustainable Development Goal 7 (SDG 7): Affordable and Clean Energy. This study proposes a hybrid deep learning framework that ... read more
Assessing mortality risk in pulmonary tuberculosis and severe malnutrition: development of the IIR marker via artificial intelligence.
Scientific reports
Feb 19, 2026
HEDGE Index: A Data-Driven Framework Overcoming the Limitations of TEFs for Prioritizing Polycyclic Aromatic Hydrocarbon Risks.
Environmental science & technology
Feb 19, 2026
Conventional risk assessment of airborne polycyclic aromatic hydrocarbons (PAHs), based on carcinogenicity-focused toxic equivalency factors (TEFs), largely overlooks a broader spectrum of systemic health risks from inhalation exposure. To address th... read more
Radiomics and Artificial Intelligence in Multiple Sclerosis MRI: A Comprehensive Review.
AJNR. American journal of neuroradiology
Feb 19, 2026
Radiomics is a process of extracting quantitative features from medical images, such as MRI. This process, combined with artificial intelligence, has already been investigated in several studies on the management of multiple sclerosis. The aim of thi... read more
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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