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Algorithms - AI Medical Compendium

AIMC Topic: Algorithms

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Reply to: Transparency and reproducibility in artificial intelligence.

Nature Oct 1, 2020
Reproducibility of Results Artificial Intelligence Algorithms
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Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.

JCO clinical cancer informatics Oct 1, 2020
PURPOSE: Literature on clinical note mining has highlighted the superiority of machine learning (ML) over hand-crafted rules. Nevertheless, most studies assume the availability of large training sets, which is rarely the case. For this reason, in the...
Machine Learning Algorithms Logistic Models United States Humans Support Vector Machine Male Prostate
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The Next Frontier in Pediatric Cardiology: Artificial Intelligence.

Pediatric clinics of North America Oct 1, 2020
Artificial intelligence (AI) in the last decade centered primarily around digitizing and incorporating the large volumes of patient data from electronic health records. AI is now poised to make the next step in health care integration, with precision...
Humans Artificial Intelligence Algorithms Child Cardiology Precision Medicine Electronic Health Records
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Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (AI) for automated retinal disease diagnostics but have not addressed a fundamental challenge for deep learning systems: the current need for large, cr...
Female Cross-Sectional Studies Deep Learning ROC Curve Male Artificial Intelligence Algorithms Diabetic Retinopathy Rare Diseases Humans Retrospective Studies Neural Networks, Computer
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External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms.

JAMA oncology Oct 1, 2020
IMPORTANCE: A computer algorithm that performs at or above the level of radiologists in mammography screening assessment could improve the effectiveness of breast cancer screening.
Area Under Curve Female Aged Middle Aged Mammography Adult Artificial Intelligence Algorithms Retrospective Studies Humans
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Artificial Intelligence to Support Independent Assessment of Screening Mammograms-The Time Has Come.

JAMA oncology Oct 1, 2020
Mammography Artificial Intelligence Algorithms Early Detection of Cancer Humans
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Model-to-Data Approach for Deep Learning in Optical Coherence Tomography Intraretinal Fluid Segmentation.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Amid an explosion of interest in deep learning in medicine, including within ophthalmology, concerns regarding data privacy, security, and sharing are of increasing importance. A model-to-data approach, in which the model itself is transf...
Cross-Sectional Studies Male Deep Learning Reproducibility of Results Aged Subretinal Fluid Tomography, Optical Coherence Wet Macular Degeneration Humans Algorithms Female Neural Networks, Computer
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Deep Learning Algorithms and the Protection of Data Privacy.

JAMA ophthalmology Oct 1, 2020
Humans Algorithms Privacy Deep Learning Tomography, Optical Coherence
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Use of artificial intelligence and machine learning for estimating malignancy risk of thyroid nodules.

Current opinion in endocrinology, diabetes, and obesity Oct 1, 2020
PURPOSE OF REVIEW: Current methods for thyroid nodule risk stratification are subjective, and artificial intelligence algorithms have been used to overcome this shortcoming. In this review, we summarize recent developments in the application of artif...
Thyroid Nodule Machine Learning Thyroid Neoplasms Algorithms Ultrasonography Humans Risk Factors Prognosis Artificial Intelligence Risk Assessment
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[Artificial intelligence-based algorithms : Decision-making support for computed tomography of the chest].

Der Radiologe Oct 1, 2020
Artificial intelligence (AI) algorithms are increasingly used in radiology. The main areas of application are, for example, the detection of lung lesions and the diagnosis of chronic obstructive and interstitial lung diseases. The aim of our study wa...
Humans Artificial Intelligence Decision Support Systems, Clinical Lung Diseases, Interstitial Thorax Algorithms Tomography, X-Ray Computed
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