Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice [PDF]
arXiv, 2021 The use of machine learning to develop intelligent software tools for interpretation of radiology images has gained widespread attention in recent years. The development, deployment, and eventual adoption of these models in clinical practice, however, remains fraught with challenges.
arxiv
Phronesis of AI in radiology: Superhuman meets natural stupidity [PDF]
arXiv, 2018 Advances in AI in the last decade have clearly made economists, politicians, journalists, and citizenry in general believe that the machines are coming to take human jobs. We review 'superhuman' AI performance claims in radiology and then provide a self-reflection on our own work in the area in the form of a critical review, a tribute of sorts to ...
arxiv
Toxicology Reports, 2018 This study reveals the antioxidant properties of iodinated radiographic contrast media to be used in diagnostic radiology. Di(phenyl)-(2,4,6-trinitrophenyl) iminoazanium (DPPH), ferric reducing ability of plasma (FRAP), and 2,2′-azino-bis (3 ...
Montree Tungjai +4 more
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Squeezing effects applied in nonclassical superposition states for quantum nanoelectronic circuits
Nano Convergence, 2017 Quantum characteristics of a driven series RLC nanoelectronic circuit whose capacitance varies with time are studied using an invariant operator method together with a unitary transformation approach.
Jeong Ryeol Choi
doaj +1 more source
Gender and cytoarchitecture differences: Functional connectivity of the hippocampal sub-regions
Heliyon, 2023 Introduction: The hippocampus plays a significant role in learning, memory encoding, and spatial navigation. Typically, the hippocampus is investigated as a whole region of interest.
Adnan A.S. Alahmadi +10 more
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Automated Radiology Report Generation: A Review of Recent Advances [PDF]
Increasing demands on medical imaging departments are taking a toll on the radiologist's ability to deliver timely and accurate reports. Recent technological advances in artificial intelligence have demonstrated great potential for automatic radiology report generation (ARRG), sparking an explosion of research.
arxiv +1 more source
Implementation of automated radiopharmaceutical dispenser with integrated radiation shielding
Journal of Associated Medical Sciences, 2009 During the preparation of radiopharmaceutical, nuclear medicine staff receive radiation doses to hands much higher than the other parts of the body.
Somsakul Thumvijit, Winit Choiprasert
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Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge [PDF]
Medical Image Analysis Volume 95, July 2024, 103206The correct interpretation of breast density is important in the assessment of breast cancer risk. AI has been shown capable of accurately predicting breast density, however, due to the differences in imaging characteristics across mammography systems, models built using data from one system do not generalize well to other systems.
arxiv +1 more source
Online Clinical Briefing for Radiologic Technology Students in Covid-19 Pandemic Outbreak: Efficiency, Application, and Feedback of Students. [PDF]
Adv Med Educ Pract, 2022 Nguyen TT +4 more
europepmc +1 more source
Journal of Associated Medical Sciences, 2011 Architectural distortion (AD) indicates the occurrence of early breast cancer. In mammographic image, the line correspond to the linear structure of normal breast tissue differ from the distorted tissue.
Kingkarn Aphiwatthanasumet +1 more
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