AIMC Topic: Diagnostic Imaging

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[Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery May 25, 2025
Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer patients. Traditional radiological diagnostic faces challenges such as insufficient sensitivity. Through technologies like radiomics and deep learning, ar...
Diagnostic Imaging Gastrointestinal Neoplasms Peritoneal Neoplasms Artificial Intelligence Prognosis Humans
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Intelligent health model for medical imaging to guide laymen using neural cellular automata.

Scientific reports May 20, 2025
A layman in health systems is a person who doesn't have any knowledge about health data i.e., X-ray, MRI, CT scan, and health examination reports, etc. The motivation behind the proposed invention is to help laymen to make medical images understandab...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Diagnostic Imaging
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Machine Learning and Deep Learning in Oncologic Imaging: Potential Hurdles, Opportunities for Improvement, and Solutions-Abdominal Imagers' Perspective.

Journal of computer assisted tomography May 13, 2025
The applications of machine learning in clinical radiology practice and in particular oncologic imaging practice are steadily evolving. However, there are several potential hurdles for widespread implementation of machine learning in oncologic imagin...
Image Interpretation, Computer-Assisted Abdomen Abdominal Neoplasms Humans Diagnostic Imaging Machine Learning
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Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology.

Radiology May 1, 2025
Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiology, evaluation of algorithmic biases, or AI biases, remains challenging due to various complexities. These include incomplete reporting of demographi...
Humans Diagnostic Imaging Radiology Bias Artificial Intelligence Algorithms
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Uncertainty CNNs: A path to enhanced medical image classification performance.

Mathematical biosciences and engineering : MBE Feb 20, 2025
The automated detection of tumors using medical imaging data has garnered significant attention over the past decade due to the critical need for early and accurate diagnoses. This interest is fueled by advancements in computationally efficient model...
Image Interpretation, Computer-Assisted Uncertainty Algorithms Tomography, X-Ray Computed Lung Neoplasms Diagnostic Imaging Deep Learning Magnetic Resonance Imaging Heart Failure Image Processing, Computer-Assisted Humans Neoplasms Neural Networks, Computer
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Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models.

Radiology Feb 1, 2025
Background Incomplete clinical histories are a well-known problem in radiology. Previous dedicated quality improvement efforts focusing on reproducible assessments of the completeness of free-text clinical histories have relied on tedious manual anal...
Medical History Taking Radiology Information Systems Diagnostic Imaging Quality Improvement Large Language Models Retrospective Studies Natural Language Processing Humans
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Research on equipment fault diagnosis model based on gan and inverse PINN: Solutions for data imbalance and rare faults.

PloS one Jan 1, 2025
In the field of medical imaging equipment, fault diagnosis plays a vital role in guaranteeing stable operation and prolonging service life. Traditional diagnostic approaches, though, are confronted with issues like intricate fault modes, as well as s...
Equipment Failure Diagnostic Imaging Algorithms Models, Theoretical Humans Neural Networks, Computer
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.

Cancer medicine Jan 1, 2025
BACKGROUND: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for ad...
Humans Neoplasms Diagnostic Imaging Pediatrics Surgical Oncology Deep Learning Child
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ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Artificial Intelligence (AI) algorithms showcase the potential to steer a paradigm shift in clinical medicine, especially medical imaging. Concerns associated with model generalizability and biases necessitate rigorous external validation of AI algor...
Breast Neoplasms Computational Biology Diagnostic Imaging Workflow Mammography Algorithms Female Humans Artificial Intelligence Validation Studies as Topic Cloud Computing
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MSA-MaxNet: Multi-Scale Attention Enhanced Multi-Axis Vision Transformer Network for Medical Image Segmentation.

Journal of cellular and molecular medicine Dec 1, 2024
Convolutional neural networks (CNNs) are well established in handling local features in visual tasks; yet, they falter in managing complex spatial relationships and long-range dependencies that are crucial for medical image segmentation, particularly...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Humans Diagnostic Imaging
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