AI Medical Compendium

LSTM-GRU hybrid model for multi-layer microclimate prediction in solar greenhouse.

Scientific reports Apr 22, 2026

Precise microclimate control across vertical canopy layers is critical for optimizing crop production in horticulture solar greenhouses, yet existing prediction models fail to capture the complex spatiotemporal heterogeneity of temperature and humidi... read more

Harnessing the full potential of RRAMs through scalable and distributed in-memory computing with integrated error correction.

Communications engineering Apr 22, 2026

Exponential growth in global computing demand is further exacerbated by the high energy requirements of conventional architectures, which are dominated by costly data movement requirements. In-memory computing with Resistive Random Access Memory (RRA... read more

Plaque-Level Machine Learning Prediction of Intraplaque Hemorrhage in Carotid Arteries Using Computed Tomography Angiography.

Clinical neuroradiology Apr 22, 2026

BACKGROUND: Carotid artery plaques, especially those with intraplaque hemorrhage (IPH), are significant contributors to ischemic stroke. Although high-resolution magnetic resonance vessel-wall imaging (HR-MR-VWI) is the gold standard for assessing pl... read more

ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment.

Journal of imaging informatics in medicine Apr 22, 2026

Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predominantly rely on single-modality analysis, failing to leverage complementary information from multip... read more

Using Radiomic Features to Detect Anatomical Errors and Assess Deep Learning-Based Left Ventricle Segmentation in Cardiac MRI.

Journal of imaging informatics in medicine Apr 22, 2026

Segmentation of the left ventricle in cardiac magnetic resonance exams is critical for accurate diagnosis and plays a central role in computer-aided diagnosis systems. Among the various automatic methods proposed, deep learning-based approaches have ... read more

Prediction of cognitive test scores: a comparison of brain structure, health, demographic, and cognitive data across adulthood.

GeroScience Apr 22, 2026

Cognitive performance prediction may help identify early cognitive decline. However, the heterogeneity of research findings impedes the identification of key predictors. This study used 21,877 participants (25-74 years) from the German National Cohor... read more

Key factors of the deranged antiviral response in elderly patients with COVID-19: a machine-learning analysis.

GeroScience Apr 22, 2026

Age is a well-known risk factor to develop severe viral respiratory infections, including severe COVID-19. This study aimed to identify the biological alterations linked to severe disease in elderly patients with COVID-19. For this purpose, we employ... read more

Genetic Architecture and Molecular Mechanisms of Fusarium Crown Rot Resistance in Wheat.

Plant, cell & environment Apr 22, 2026

Fusarium crown rot (FCR) is a devastating soil-borne disease of wheat, primarily caused by Fusarium pseudograminearum, Fusarium graminearum and Fusarium culmorum. It causes substantial yield losses worldwide and contaminates grains with mycotoxins, p... read more

Image Quality and Diagnostic Performance of Accelerated T2-weighted Imaging of Prostate with Deep Learning Reconstruction: A Comparative Study.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Apr 22, 2026

PURPOSE: To compare accelerated T2-weighted turbo spin-echo imaging with deep learning reconstruction (DLR-TSE) with conventional T2-weighted TSE (conv-TSE) and accelerated TSE without DLR (non-DLR-TSE), and to evaluate image quality and diagnostic p... read more

Reindeer: a protein-ligand feature generator software for machine learning algorithms.

BMC bioinformatics Apr 22, 2026

Artificial Intelligence Medical Compendium