AIMC Topic: Diagnostic Imaging
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Analysis of ChatGPT publications in radiology: Literature so far.
Current problems in diagnostic radiology
Oct 20, 2023
OBJECTIVE: To perform a detailed qualitative and quantitative analysis of the published literature on ChatGPT and radiology in the nine months since its public release, detailing the scope of the work in the short timeframe.
Epidemiology of osteoarthritis: literature update 2022-2023.
Current opinion in rheumatology
Oct 19, 2023
PURPOSE OF REVIEW: This review highlights recently published studies on osteoarthritis (OA) epidemiology, including topics related to understudied populations and joints, imaging, and advancements in artificial intelligence (AI) methods.
Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.
Journal of digital imaging
Oct 3, 2023
Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or early-r...
Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK.
The British journal of radiology
Oct 3, 2023
Technological advancements in computer science have started to bring artificial intelligence (AI) from the bench closer to the bedside. While there is still lots to do and improve, AI models in medical imaging and radiotherapy are rapidly being devel...
Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Clinical oncology (Royal College of Radiologists (Great Britain))
Sep 27, 2023
The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains an...
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.
European radiology
Sep 22, 2023
OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artificial Intelligence in Medical imaging (CLAIM), for self-reporting through a systematic analysis of its citations.
Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.
Medical image analysis
Sep 22, 2023
Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Training generative adversarial neural networks (GANs) usually require large ...
Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.
Journal of digital imaging
Sep 21, 2023
With the advances in endoscopic technologies and artificial intelligence, a large number of endoscopic imaging datasets have been made public to researchers around the world. This study aims to review and introduce these datasets. An extensive litera...
Artificial Intelligence and liver: Opportunities and barriers.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Sep 16, 2023
Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver; however, many obstacles still have to be overcome for the digitalization of real-world hepatology. The authors present an overview of the current st...
AI in medical imaging grand challenges: translation from competition to research benefit and patient care.
The British journal of radiology
Sep 12, 2023
Artificial intelligence (AI), in one form or another, has been a part of medical imaging for decades. The recent evolution of AI into approaches such as deep learning has dramatically accelerated the application of AI across a wide range of radiologi...
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