AIMC Topic: Diagnostic Imaging

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Artificial intelligence in computer-aided diagnosis of abdomen diseases.

Science China. Life sciences Sep 27, 2019
Diagnosis, Computer-Assisted Biosensing Techniques Sensitivity and Specificity Gastrointestinal Diseases Abdomen Diagnostic Imaging Humans Neural Networks, Computer Artificial Intelligence
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A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.

The Lancet. Digital health Sep 25, 2019
BACKGROUND: Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases using medical imaging.
Humans Deep Learning Health Personnel Diagnostic Imaging
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Machine learning for radiomics-based multimodality and multiparametric modeling.

The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... Sep 13, 2019
Due to the recent developments of both hardware and software technologies, multimodality medical imaging techniques have been increasingly applied in clinical practice and research studies. Previously, the application of multimodality imaging in onco...
Diagnostic Imaging Models, Statistical Humans Machine Learning Deep Learning Image Processing, Computer-Assisted
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Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Sep 12, 2019
PURPOSE: The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies...
Humans Sample Size Diagnostic Imaging Machine Learning Biomedical Research
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Artificial intelligence in radiology: the ecosystem essential to improving patient care.

Clinical imaging Aug 31, 2019
The rapid development of artificial intelligence (AI) has led to its widespread use in multiple industries, including healthcare. AI has the potential to be a transformative technology that will significantly impact patient care. Particularly, AI has...
Radiography Humans Radiology Artificial Intelligence Patient Care Diagnostic Imaging Ecosystem
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Improving parkinsonism diagnosis with machine learning.

The Lancet. Digital health Aug 27, 2019
Machine Learning Diagnostic Imaging Humans Parkinsonian Disorders
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A Year of Papers Using Biomedical Texts: Findings from the Section on Natural Language Processing of the IMIA Yearbook.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVES: To analyze the content of publications within the medical Natural Language Processing (NLP) domain in 2018.
Diagnostic Imaging Natural Language Processing Electronic Health Records Humans Image Processing, Computer-Assisted
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Advancing Artificial Intelligence in Sensors, Signals, and Imaging Informatics.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVE: To identify research works that exemplify recent developments in the field of sensors, signals, and imaging informatics.
Artificial Intelligence Machine Learning Diagnostic Imaging Medical Informatics Humans
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Global Trend in Artificial Intelligence-Based Publications in Radiology From 2000 to 2018.

AJR. American journal of roentgenology Aug 15, 2019
The purpose of this study is to evaluate the global trend in artificial intelligence (AI)-based research productivity involving radiology and its subspecialty disciplines. The United States is the global leader in AI radiology publication productiv...
Bibliometrics Diagnostic Imaging Artificial Intelligence Publishing Biomedical Research Periodicals as Topic Humans
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Intelligent Imaging: Anatomy of Machine Learning and Deep Learning.

Journal of nuclear medicine technology Aug 10, 2019
The emergence of artificial intelligence (AI) in nuclear medicine and radiology has been accompanied by AI commentators and experts predicting that AI would make radiologists, in particular, extinct. More realistic perspectives suggest significant ch...
Nuclear Medicine Image Processing, Computer-Assisted Diagnostic Imaging Deep Learning
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