AIMC Topic: Diagnostic Imaging
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All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems.
Computer methods and programs in biomedicine
Apr 23, 2024
BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) models trained on multi-centric and multi-device studies can provide more robust insights and research findings compared to single-center studies. However, variability in acquisition protocols a...
The virtual reference radiologist: comprehensive AI assistance for clinical image reading and interpretation.
European radiology
Apr 16, 2024
OBJECTIVES: Large language models (LLMs) have shown potential in radiology, but their ability to aid radiologists in interpreting imaging studies remains unexplored. We investigated the effects of a state-of-the-art LLM (GPT-4) on the radiologists' d...
Analyzing to discover origins of CNNs and ViT architectures in medical images.
Scientific reports
Apr 16, 2024
In this paper, we introduce in-depth the analysis of CNNs and ViT architectures in medical images, with the goal of providing insights into subsequent research direction. In particular, the origins of deep neural networks should be explainable for me...
A survey of label-noise deep learning for medical image analysis.
Medical image analysis
Apr 12, 2024
Several factors are associated with the success of deep learning. One of the most important reasons is the availability of large-scale datasets with clean annotations. However, obtaining datasets with accurate labels in the medical imaging domain is ...
The Promise of Reciprocal Human and Machine Learning for Observational Error Reduction in Diagnostic Imaging.
Academic radiology
Apr 4, 2024
EndoViT: pretraining vision transformers on a large collection of endoscopic images.
International journal of computer assisted radiology and surgery
Apr 3, 2024
PURPOSE: Automated endoscopy video analysis is essential for assisting surgeons during medical procedures, but it faces challenges due to complex surgical scenes and limited annotated data. Large-scale pretraining has shown great success in natural l...
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
Journal of imaging informatics in medicine
Apr 1, 2024
In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tack...
Deep local-to-global feature learning for medical image super-resolution.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 26, 2024
Medical images play a vital role in medical analysis by providing crucial information about patients' pathological conditions. However, the quality of these images can be compromised by many factors, such as limited resolution of the instruments, art...
Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK.
International journal of medical informatics
Mar 25, 2024
BACKGROUND: Medical Imaging and radiotherapy (MIRT) are at the forefront of artificial intelligence applications. The exponential increase of these applications has made governance frameworks necessary to uphold safe and effective clinical adoption. ...
Surveying the landscape of diagnostic imaging in dentistry's future: Four emerging technologies with promise.
Journal of the American Dental Association (1939)
Mar 23, 2024
BACKGROUND: Advances in digital radiography for both intraoral and panoramic imaging and cone-beam computed tomography have led the way to an increase in diagnostic capabilities for the dental care profession. In this article, the authors provide inf...
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