AIMC Topic: Deep Learning

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Reflections on dynamic prediction of Alzheimer's disease: advancements in modeling longitudinal outcomes and time-to-event data.

BMC medical research methodology Jul 17, 2025
BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision making. Our primary objective was to offer a comprehensive survey of methods for the dynamic prediction of Alzheimer's disease (AD), encompassing both co...
Longitudinal Studies Humans Models, Statistical Prognosis Alzheimer Disease Deep Learning
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Integrative habitat analysis and multi-instance deep learning for predictive model of PD-1/PD-L1 immunotherapy efficacy in NSCLC patients: a dual-center retrospective study.

BMC medical imaging Jul 17, 2025
BACKGROUND: PD-1/PD-L1 immunotherapy represents the primary treatment for advanced NSCLC patients; however, response rates to this therapy vary among individuals. This dual-center study aimed to integrate habitat radiomics and multi-instance deep lea...
B7-H1 Antigen Humans Retrospective Studies Female Aged Male Middle Aged Carcinoma, Non-Small-Cell Lung Immunotherapy Deep Learning Treatment Outcome Programmed Cell Death 1 Receptor Immune Checkpoint Inhibitors Lung Neoplasms
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Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model.

Scientific reports Jul 17, 2025
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling novel system designs. Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), ofte...
Signal-To-Noise Ratio Artificial Intelligence Algorithms Brain Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Intracranial Hemorrhages ROC Curve
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.

Scientific reports Jul 17, 2025
In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep learning models, class activation mapping (CAM), and periodical feature detector for the purpose of evaluating human gastric motility by detecting the...
Humans Algorithms Deep Learning Capsule Endoscopy Gastrointestinal Motility Peristalsis Magnetics Stomach Capsule Endoscopes
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Deep learning models for deriving optimised measures of fat and muscle mass from MRI.

Scientific reports Jul 17, 2025
Fat and muscle mass are potential biomarkers of wellbeing and disease in oncology, but clinical measurement methods vary considerably. Here we evaluate the accuracy, precision and ability to track change for multiple deep learning (DL) models that qu...
Intra-Abdominal Fat Subcutaneous Fat Magnetic Resonance Imaging Muscle, Skeletal Adipose Tissue Female Reproducibility of Results Adult Deep Learning Image Processing, Computer-Assisted Humans Male Neural Networks, Computer Middle Aged
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Deep Learning-Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization.

Journal of medical Internet research Jul 17, 2025
BACKGROUND: Traditional ocular gaze photograph preprocessing, relying on manual cropping and head tilt correction, is time-consuming and inconsistent, limiting artificial intelligence (AI) model development and clinical application.
Image Processing, Computer-Assisted Workflow Strabismus Male Middle Aged Deep Learning Photography Eye Algorithms Prospective Studies Retrospective Studies Female Adult Cross-Sectional Studies Humans
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics.

PloS one Jul 17, 2025
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Wavelet Analysis Forensic Sciences
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FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

PloS one Jul 17, 2025
Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in diagnosis and treatment due to its similarities with other respiratory conditions. Additionally, the need to protect patient privacy complicates the shar...
Radiography, Thoracic Neural Networks, Computer Humans Deep Learning Pneumonia
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Developing the CAM-BERT: Enhancing delirium screening in hospitalized older adults using natural language processing.

Computers in biology and medicine Jul 16, 2025
BACKGROUND: Delirium is a common condition affecting hospitalized older adults, often leading to adverse outcomes. Nevertheless, delirium frequently goes unrecognized due to various clinical and systemic challenges. We aimed to develop and evaluate a...
Electronic Health Records Female Hospitalization Humans Brazil Aged Natural Language Processing Deep Learning Aged, 80 and over Delirium Male
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AF3Score: A Score-Only Adaptation of AlphaFold3 for Biomolecular Structure Evaluation.

Journal of chemical information and modeling Jul 16, 2025
Scoring biomolecular complexes remains central to structural modeling efforts. Recent studies suggest that AlphaFold (AF) - a revolutionary deep learning model for biomolecular structure prediction - has implicitly learned an approximate biophysical ...
Protein Conformation Protein Folding Deep Learning Protein Binding Proteins Models, Molecular Ligands
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