AIMC Topic: Deep Learning

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Video-based multi-target multi-camera tracking for postoperative phase recognition.

International journal of computer assisted radiology and surgery Apr 12, 2025
PURPOSE: Deep learning methods are commonly used to generate context understanding to support surgeons and medical professionals. By expanding the current focus beyond the operating room (OR) to postoperative workflows, new forms of assistance are po...
Humans Deep Learning Postoperative Care Postoperative Period Workflow Video Recording
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A Comprehensive Review of Deep Learning in Computer Vision for Monitoring Apple Tree Growth and Fruit Production.

Sensors (Basel, Switzerland) Apr 12, 2025
The high nutritional and medicinal value of apples has contributed to their widespread cultivation worldwide. Unfavorable factors in the healthy growth of trees and extensive orchard work are threatening the profitability of apples. This study review...
Fruit Neural Networks, Computer Malus Deep Learning
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Deep learning tools predict variants in disordered regions with lower sensitivity.

BMC genomics Apr 12, 2025
BACKGROUND: The recent AI breakthrough of AlphaFold2 has revolutionized 3D protein structural modeling, proving crucial for protein design and variant effects prediction. However, intrinsically disordered regions-known for their lack of well-defined ...
Intrinsically Disordered Proteins Methionine Models, Molecular Protein Conformation, alpha-Helical Deep Learning Mutation Computational Biology Humans Proteome
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Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers.

Scientific reports Apr 12, 2025
Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to determine the...
Deep Learning Humans Middle Aged ROC Curve Biomarkers, Tumor Risk Assessment Algorithms Female Male Early Detection of Cancer Risk Factors Neoplasms Aged
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Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

Scientific reports Apr 12, 2025
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images. Extensive experiments were conducted on a dataset of 759 images di...
Citrus Fruit Plant Diseases Image Enhancement Agriculture Plant Leaves Deep Learning Convolutional Neural Networks
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Leveraging multi-modal feature learning for predictions of antibody viscosity.

mAbs Apr 11, 2025
The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to its patient-friendly nature, convenience, reduced healthcare burden, and improved compliance compared to traditional intravenous infusions. However, a s...
Humans Antibodies, Monoclonal Viscosity Deep Learning
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CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 11, 2025
Assessing collateral circulation is essential in determining the best treatment for ischemic stroke patients as good collaterals lead to different treatment options, i.e., thrombectomy, whereas poor collaterals can adversely affect the treatment by l...
Deep Learning Ischemic Stroke Humans Collateral Circulation Neural Networks, Computer
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A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 11, 2025
BACKGROUND: Indeterminate pulmonary nodules (IPNs) require follow-up CT to assess potential growth; however, benign nodules may disappear. Accurately predicting whether IPNs will resolve is a challenge for radiologists. Therefore, we aim to utilize d...
Aged Sensitivity and Specificity Male Tomography, X-Ray Computed Female Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Lung Neoplasms Retrospective Studies Middle Aged
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Deep Learning Methods in the Imaging of Hepatic and Pancreaticobiliary Diseases.

Journal of clinical gastroenterology Apr 11, 2025
Reports indicate a growing role for artificial intelligence (AI) in the evaluation of pancreaticobiliary and hepatic conditions. A key focus is differentiating between benign and malignant lesions, which is crucial for treatment decisions. AI improve...
Sensitivity and Specificity Deep Learning Biliary Tract Diseases Humans Artificial Intelligence Pancreatic Diseases Liver Diseases
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IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

NeuroImage Apr 11, 2025
Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative impact, particularly within an aging global demographic. This underscores the critical need for developing sophisticated diagnostic tools for its ear...
Alzheimer Disease Brain Magnetic Resonance Imaging Positron-Emission Tomography Neuroimaging Humans Multimodal Imaging Image Interpretation, Computer-Assisted Female Aged Male Deep Learning
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