AIMC Topic: Deep Learning

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Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Proceedings of the National Academy of Sciences of the United States of America Jun 15, 2021
Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in the daily practice of medicine largely due to several crucial unmet needs of healthcare practitioners. These include lack of explanations in clinically...
Reproducibility of Results Deep Learning Time Factors ROC Curve Electrocardiography Statistics as Topic Humans Artificial Intelligence Models, Cardiovascular Uncertainty Algorithms Cardiology Physicians
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Deep Learning Automates Measurement of Spinopelvic Parameters on Lateral Lumbar Radiographs.

Spine Jun 15, 2021
STUDY DESIGN: Cross-sectional database study.
Humans Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Lumbosacral Region Algorithms Deep Learning Radiography
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Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and typically require advanced imaging modalities such as fundus autoflu...
Aged Male Diagnosis, Computer-Assisted Computer Simulation Female Datasets as Topic Retinal Drusen Deep Learning Fundus Oculi Macular Degeneration Humans
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COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
The COVID-19 pandemic swept across the world rapidly, infecting millions of people. An efficient tool that can accurately recognize important clinical concepts of COVID-19 from free text in electronic health records (EHRs) will be valuable to acceler...
Humans Symptom Assessment Deep Learning Natural Language Processing Information Storage and Retrieval COVID-19 Electronic Health Records
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Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: The objective was to develop a fully automated algorithm for abdominal fat segmentation and to deploy this method at scale in an academic biobank.
Abdominal Fat Humans Tomography, X-Ray Computed Electronic Health Records Deep Learning Biological Specimen Banks
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Federated learning improves site performance in multicenter deep learning without data sharing.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: To demonstrate enabling multi-institutional training without centralizing or sharing the underlying physical data via federated learning (FL).
Privacy Information Dissemination Humans Deep Learning
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Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms.

Medicine Jun 11, 2021
The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph.A test set of 100 chest radiographs containing 53 cases with no pathology (no...
Radiologists Radiography, Thoracic Solitary Pulmonary Nodule Taiwan Middle Aged Lung Deep Learning Burnout, Professional Clinical Competence Humans Multiple Pulmonary Nodules Algorithms Female Sensitivity and Specificity Male
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Using large-scale experiments and machine learning to discover theories of human decision-making.

Science (New York, N.Y.) Jun 11, 2021
Predicting and understanding how people make decisions has been a long-standing goal in many fields, with quantitative models of human decision-making informing research in both the social sciences and engineering. We show how progress toward this go...
Choice Behavior Humans Decision Making Probability Models, Psychological Neural Networks, Computer Machine Learning Deep Learning
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[Deep learning based lesion detection from anterior segment optical coherence tomography images and its application in the diagnosis of keratoconus].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology Jun 11, 2021
To developed an image analysis system of anterior segment optical coherence tomography (AS-OCT) examination results based on deep learning technology, and to evaluate its effect in identifying various types of corneal pathologies and quantified indi...
Retrospective Studies Female Male Deep Learning Keratoconus Humans Tomography, Optical Coherence Artificial Intelligence
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Pretraining model for biological sequence data.

Briefings in functional genomics Jun 9, 2021
With the development of high-throughput sequencing technology, biological sequence data reflecting life information becomes increasingly accessible. Particularly on the background of the COVID-19 pandemic, biological sequence data play an important r...
Models, Theoretical Natural Language Processing Data Mining High-Throughput Nucleotide Sequencing Datasets as Topic Algorithms Deep Learning Computational Biology Humans Software
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