[HTML][HTML] Emerging ethical issues raised by highly portable MRI research in remote and resource-limited international settings
Smaller, more affordable, and more portable MRI brain scanners offer exciting opportunities
to address unmet research needs and long-standing health inequities in remote and …
to address unmet research needs and long-standing health inequities in remote and …
Automated fracture screening using an object detection algorithm on whole-body trauma computed tomography
T Inoue, S Maki, T Furuya, Y Mikami, M Mizutani… - Scientific Reports, 2022 - nature.com
The emergency department is an environment with a potential risk for diagnostic errors
during trauma care, particularly for fractures. Convolutional neural network (CNN) deep …
during trauma care, particularly for fractures. Convolutional neural network (CNN) deep …
Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging
An array of artificial intelligence (AI) techniques in the field of medical imaging has emerged
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …
[HTML][HTML] Privacy preservation in patient information exchange systems based on blockchain: system design study
Background With the increasing sophistication of the medical industry, various advanced
medical services such as medical artificial intelligence, telemedicine, and personalized …
medical services such as medical artificial intelligence, telemedicine, and personalized …
AI-based detection, classification and prediction/prognosis in medical imaging: towards radiophenomics
The task of clinical interpretation of medical images starts with the scanning of the presented
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …
image to detect the suspicious finding (“observation” in RadLex terminology (RID5) 1 which …
Interinstitutional portability of a deep learning brain MRI lesion segmentation algorithm
AM Rauschecker, TJ Gleason, P Nedelec… - Radiology: Artificial …, 2021 - pubs.rsna.org
Purpose To assess how well a brain MRI lesion segmentation algorithm trained at one
institution performed at another institution, and to assess the effect of multi-institutional …
institution performed at another institution, and to assess the effect of multi-institutional …
Controlling safety of artificial intelligence-based systems in healthcare
Artificial intelligence (AI)-based systems have achieved significant success in healthcare
since 2016, and AI models have accomplished medical tasks, at or above the performance …
since 2016, and AI models have accomplished medical tasks, at or above the performance …
Myths and facts about artificial intelligence: why machine-and deep-learning will not replace interventional radiologists
F Pesapane, P Tantrige, F Patella, P Biondetti… - Medical Oncology, 2020 - Springer
Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice
of physicians across the world. Radiology has a strong affinity for machine learning and is at …
of physicians across the world. Radiology has a strong affinity for machine learning and is at …
Out with the humans, in with the machines?: investigating the behavioral and psychological effects of replacing human advisors with a machine
A Prahl, LM Van Swol - Human-Machine Communication, 2021 - search.informit.org
This study investigates the effects of task demonstrability and replacing a human advisor
with a machine advisor. Outcome measures include advice-utilization (trust), the perception …
with a machine advisor. Outcome measures include advice-utilization (trust), the perception …
Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery
Artificial intelligence (AI) has been applied with considerable success in the fields of
radiology, pathology, and neurosurgery. It is expected that AI will soon be used to optimize …
radiology, pathology, and neurosurgery. It is expected that AI will soon be used to optimize …