AIMC Topic: Diagnostic Imaging

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Establishing a Validation Infrastructure for Imaging-Based Artificial Intelligence Algorithms Before Clinical Implementation.

Journal of the American College of Radiology : JACR May 22, 2024
With promising artificial intelligence (AI) algorithms receiving FDA clearance, the potential impact of these models on clinical outcomes must be evaluated locally before their integration into routine workflows. Robust validation infrastructures are...
Diagnostic Imaging Workflow Humans Artificial Intelligence Algorithms United States
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A comprehensive survey on deep active learning in medical image analysis.

Medical image analysis May 21, 2024
Deep learning has achieved widespread success in medical image analysis, leading to an increasing demand for large-scale expert-annotated medical image datasets. Yet, the high cost of annotating medical images severely hampers the development of deep...
Image Processing, Computer-Assisted Humans Diagnostic Imaging Deep Learning
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A Comparative Review of Imaging Journal Policies for Use of AI in Manuscript Generation.

Academic radiology May 20, 2024
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) technologies are rapidly evolving and offering new advances almost on a day-by-day basis, including various tools for manuscript generation and modification. On the other hand, these potentially ...
Radiology Periodicals as Topic Humans Cross-Sectional Studies Artificial Intelligence Diagnostic Imaging Editorial Policies
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AI-enhanced integration of genetic and medical imaging data for risk assessment of Type 2 diabetes.

Nature communications May 18, 2024
Type 2 diabetes (T2D) presents a formidable global health challenge, highlighted by its escalating prevalence, underscoring the critical need for precision health strategies and early detection initiatives. Leveraging artificial intelligence, particu...
Humans Diagnostic Imaging Male Artificial Intelligence Multifactorial Inheritance Middle Aged Genetic Predisposition to Disease ROC Curve Taiwan Diabetes Mellitus, Type 2 Risk Assessment Aged Adult Female Risk Factors
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Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification.

Scientific reports May 11, 2024
Advancements in clinical treatment are increasingly constrained by the limitations of supervised learning techniques, which depend heavily on large volumes of annotated data. The annotation process is not only costly but also demands substantial time...
Supervised Machine Learning Humans Algorithms Image Processing, Computer-Assisted Diagnostic Imaging
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Boundary sample-based class-weighted semi-supervised learning for malignant tumor classification of medical imaging.

Medical & biological engineering & computing May 10, 2024
Medical image classification plays a pivotal role within the field of medicine. Existing models predominantly rely on supervised learning methods, which necessitate large volumes of labeled data for effective training. However, acquiring and annotati...
Algorithms Neoplasms Humans Supervised Machine Learning Image Processing, Computer-Assisted Diagnostic Imaging
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Suppressing label noise in medical image classification using mixup attention and self-supervised learning.

Physics in medicine and biology May 8, 2024
Deep neural networks (DNNs) have been widely applied in medical image classification and achieve remarkable classification performance. These achievements heavily depend on large-scale accurately annotated training data. However, label noise is inevi...
Humans Diagnostic Imaging Neural Networks, Computer Supervised Machine Learning Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted
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Applications of Artificial Intelligence in Acute Abdominal Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes May 7, 2024
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology. Acute abdominal pain is a common clinical presentation that can range from benign conditions to life-threatening emergencies. The critical nature of ...
Humans Artificial Intelligence Abdomen, Acute Abdomen Diagnostic Imaging Tomography, X-Ray Computed Ultrasonography
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A comparative study of an on premise AutoML solution for medical image classification.

Scientific reports May 7, 2024
Automated machine learning (AutoML) allows for the simplified application of machine learning to real-world problems, by the implicit handling of necessary steps such as data pre-processing, feature engineering, model selection and hyperparameter opt...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Algorithms Machine Learning Deep Learning
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Artificial Intelligence in Radiology: What Is Its True Role at Present, and Where Is the Evidence?

Radiologic clinics of North America Apr 24, 2024
The integration of artificial intelligence (AI) in radiology has brought about substantial advancements and transformative potential in diagnostic imaging practices. This study presents an overview of the current research on the application of AI in ...
Diagnostic Imaging Machine Learning Humans Deep Learning Radiology Artificial Intelligence
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