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Deep Learning - AI Medical Compendium

AIMC Topic: Deep Learning

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Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.

Journal of cellular and molecular medicine May 1, 2025
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...
Humans Neural Networks, Computer Artificial Intelligence Animals Leukemia Stem Cells Hematopoietic Stem Cells Deep Learning Janus Kinase 2 Mice Polycythemia Vera Neoplastic Stem Cells
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Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status.

Journal of inherited metabolic disease May 1, 2025
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and analytical approaches. To assess DL in the context of rare diseases, this study focused on alkaptonuri...
Spinal Diseases Alkaptonuria Humans Severity of Illness Index Deep Learning Male Radiography Middle Aged Female Adult
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MMsurv: a multimodal multi-instance multi-cancer survival prediction model integrating pathological images, clinical information, and sequencing data.

Briefings in bioinformatics May 1, 2025
Accurate prediction of patient survival rates in cancer treatment is essential for effective therapeutic planning. Unfortunately, current models often underutilize the extensive multimodal data available, affecting confidence in predictions. This stu...
Humans Neoplasms Deep Learning Image Processing, Computer-Assisted Computational Biology Neural Networks, Computer Algorithms Prognosis
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Association of Deep Learning-based Chest CT-derived Respiratory Parameters with Disease Progression in Amyotrophic Lateral Sclerosis.

Radiology May 1, 2025
Background Forced vital capacity (FVC) is a standard measure of respiratory function in patients with amyotrophic lateral sclerosis (ALS) but has limitations, particularly for patients with bulbar impairment. Purpose To determine the value of deep le...
Retrospective Studies Tomography, X-Ray Computed Female Humans Aged Amyotrophic Lateral Sclerosis Disease Progression Male Vital Capacity Lung Middle Aged Respiratory Muscles Deep Learning
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Early detection of Alzheimer's disease using deep learning methods.

Alzheimer's & dementia : the journal of the Alzheimer's Association May 1, 2025
INTRODUCTION: Alzheimer's disease (AD), a leading cause of dementia, requires early detection for effective intervention. This study employs AI to analyze multimodal datasets, including clinical, biomarker, and neuroimaging data, using hybrid deep le...
Neuroimaging Magnetic Resonance Imaging Alzheimer Disease Early Diagnosis Humans Neural Networks, Computer Female Brain Male Aged Deep Learning
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Optimizing Deep Learning Models for Luminal and Nonluminal Breast Cancer Classification Using Multidimensional ROI in DCE-MRI-A Multicenter Study.

Cancer medicine May 1, 2025
OBJECTIVES: Previous deep learning studies have not explored the synergistic effects of ROI dimensions (2D/2.5D/3D), peritumoral expansion levels (0-8 mm), and segmentation scenarios (ROI only vs. ROI original). Our study aims to evaluate the perform...
Dynamic Contrast Enhanced Magnetic Resonance Imaging ROC Curve Contrast Media Magnetic Resonance Imaging Female Aged Adult Breast Neoplasms Middle Aged Deep Learning Humans Retrospective Studies
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Scoring protein-ligand binding structures through learning atomic graphs with inter-molecular adjacency.

PLoS computational biology May 1, 2025
With a burgeoning number of artificial intelligence (AI) applications in various fields, biomolecular science has also given a big welcome to advanced AI techniques in recent years. In this broad field, scoring a protein-ligand binding structure to o...
Protein Binding Models, Molecular Binding Sites Computational Biology Algorithms Ligands Proteins Drug Discovery Protein Conformation Deep Learning
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Fusion-Brain-Net: A Novel Deep Fusion Model for Brain Tumor Classification.

Brain and behavior May 1, 2025
PROBLEM: Brain tumors are among the most prevalent and lethal diseases. Early diagnosis and precise treatment are crucial. However, the manual classification of brain tumors is a laborious and complex task.
Humans Neural Networks, Computer Brain Neoplasms Diagnosis, Computer-Assisted Deep Learning
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Expert consensus document on artificial intelligence of the Italian Society of Cardiology.

Journal of cardiovascular medicine (Hagerstown, Md.) May 1, 2025
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that replicate intelligent behaviour, has recently been used in patients management by enhancing diagnostic and prognostic capabilities of various resources s...
Predictive Value of Tests Italy Cardiology Humans Cardiovascular Diseases Artificial Intelligence Deep Learning Consensus
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Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics-informed Deep Learning.

Radiology May 1, 2025
Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures that are increasingly recognized as important biomarkers for risk assessment. However, long acquisition times and cumbersome data analysis limit wide...
Magnetic Resonance Imaging Aorta, Thoracic Hemodynamics Deep Learning Imaging, Three-Dimensional Aged Adult Male Humans Middle Aged Retrospective Studies Female
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