AIMC Topic: Datasets as Topic

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Rise of Robot Radiologists.

Nature Dec 1, 2019
Uncertainty Confounding Factors, Epidemiologic Cell Phone United States Food and Drug Administration Datasets as Topic Practice Guidelines as Topic Humans Diabetic Retinopathy Tomography, X-Ray Computed Clinical Decision-Making Female Sensitivity and Specificity Diagnostic Errors Radiologists Deep Learning Healthcare Disparities Robotics United States Retina Radiology Mammography Tuberculosis Bias Triage Breast Neoplasms Cardiovascular Diseases Diagnosis, Computer-Assisted
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How Artificial Intelligence Will Change Medicine.

Nature Dec 1, 2019
Drug Industry Data Mining United States Food and Drug Administration Datasets as Topic Artificial Intelligence Medicine Biomedical Research Drug Discovery Deep Learning United States Diagnostic Imaging Humans
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[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery] Dec 1, 2019
To examine the value and clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer. Totally 124 patients with advanced gastric cancer who underwent radical gastrectomy plus D2 lymphad...
Humans Neural Networks, Computer Female Diagnosis, Computer-Assisted Child Image Processing, Computer-Assisted Lymph Nodes Stomach Neoplasms Male Middle Aged Datasets as Topic Lymphatic Metastasis Lymph Node Excision Gastrectomy
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Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
Traditional Chinese Medicine (TCM) has been developed for several thousand years and plays a significant role in health care for Chinese people. This paper studies the problem of classifying TCM clinical records into 5 main disease categories in TCM....
Benchmarking Deep Learning Datasets as Topic Medicine, Chinese Traditional Medical Records Natural Language Processing
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Extracting entities with attributes in clinical text via joint deep learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute reco...
Data Mining Datasets as Topic Humans Electronic Health Records Deep Learning Natural Language Processing
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Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to dec...
Neural Networks, Computer Office Visits Machine Learning Datasets as Topic Aged Humans Communication Medical Records Middle Aged Tape Recording Primary Health Care Natural Language Processing Physician-Patient Relations
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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.

Ultrasonic imaging Nov 1, 2019
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre...
Datasets as Topic Breast Neoplasms Image Processing, Computer-Assisted Humans Ultrasonography, Mammary Neural Networks, Computer Breast Female
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Cohort selection for clinical trials: n2c2 2018 shared task track 1.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Track 1 of the 2018 National NLP Clinical Challenges shared tasks focused on identifying which patients in a corpus of longitudinal medical records meet and do not meet identified selection criteria.
Humans Machine Learning Natural Language Processing Clinical Trials as Topic Patient Selection Data Mining Datasets as Topic
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Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: With growing availability of digital health data and technology, health-related studies are increasingly augmented or implemented using real world data (RWD). Recent federal initiatives promote the use of RWD to make clinical assertions th...
Machine Learning Retrospective Studies Electronic Health Records Cardiovascular Diseases Humans Artificial Intelligence Information Storage and Retrieval Natural Language Processing Cardiology Data Mining Datasets as Topic
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CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: This article presents a novel method of semisupervised learning using convolutional autoencoders for optical endomicroscopic images. Optical endomicroscopy (OE) is a newly emerged biomedical imaging modality that can support real-time clin...
Supervised Machine Learning Datasets as Topic Barrett Esophagus Esophagoscopy Diagnosis, Computer-Assisted Microscopy, Confocal Esophagus Humans Algorithms
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