AIMC Topic: United States

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Outcomes and impact of laparoscopic inguinal hernia repair versus open inguinal hernia repair on healthcare spending and employee absenteeism.

Surgical endoscopy May 28, 2019
BACKGROUND: This study compares the impact of open (OIHR) versus laparoscopic (LIHR) inguinal hernia repair on healthcare spending and postoperative outcomes.
Adult Male Laparoscopy Adolescent Middle Aged Conversion to Open Surgery Hernia, Inguinal Cohort Studies Postoperative Complications Absenteeism United States Robotics Humans Databases, Factual Retrospective Studies Female
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A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.

Journal of the American College of Radiology : JACR May 28, 2019
Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease d...
Humans Artificial Intelligence Research Design United States Diagnostic Imaging Translational Research, Biomedical
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Natural Language Processing for Identification of Incidental Pulmonary Nodules in Radiology Reports.

Journal of the American College of Radiology : JACR May 24, 2019
PURPOSE: To develop natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations.
Solitary Pulmonary Nodule Natural Language Processing Humans Radiology Retrospective Studies Reproducibility of Results Incidental Findings Tomography, X-Ray Computed Research Report Male Electronic Health Records Cohort Studies Female United States
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Image Interpretation, Computer-Assisted Radiology Information Systems Societies, Medical Sensitivity and Specificity Male Middle Aged Risk Assessment Thyroid Nodule United States Diagnostic Imaging Adolescent Thyroid Gland Aged Aged, 80 and over Young Adult Adult Artificial Intelligence Retrospective Studies Humans Female Reproducibility of Results
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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Nature medicine May 20, 2019
With an estimated 160,000 deaths in 2018, lung cancer is the most common cause of cancer death in the United States. Lung cancer screening using low-dose computed tomography has been shown to reduce mortality by 20-43% and is now included in US scree...
Neural Networks, Computer Algorithms Databases, Factual Retrospective Studies Humans Imaging, Three-Dimensional Lung Neoplasms United States Mass Screening Tomography, X-Ray Computed Risk Factors Diagnosis, Computer-Assisted Deep Learning
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Robotics in Dental Implantology.

Oral and maxillofacial surgery clinics of North America May 15, 2019
Robotic surgery is no longer a fiction and its clinical applications are rapidly developing. Robotic surgery is increasingly used because of its minimal invasiveness. This article provides an overview of robotic surgery and its current applications i...
Humans Surgery, Computer-Assisted Clinical Competence Dental Implants United States Robotics Robotic Surgical Procedures
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Declining use of radical prostatectomy and pelvic lymphadenectomy despite more robotics: National population data over 15 years.

Asia-Pacific journal of clinical oncology May 6, 2019
AIM: To describe national surgical patterns of prostate cancer (PCa) care considering radical prostatectomy with or without pelvic lymphadenectomy and consideration of robotic-assisted techniques.
Aged Aged, 80 and over Male Middle Aged Lymph Node Excision Robotics Prostatectomy Humans Time Factors United States Retrospective Studies
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Databases, Factual Female Reproducibility of Results Humans United States Aged Deep Learning Inpatients Aged, 80 and over Osteoarthritis, Hip Length of Stay Male Fees and Charges Arthroplasty, Replacement, Hip Cohort Studies Comorbidity Social Class Preoperative Period ROC Curve Health Care Costs
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Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis.

Clinical rheumatology May 1, 2019
OBJECTIVE: To develop a predictive mathematical model for the early identification of ankylosing spondylitis (AS) based on the medical and pharmacy claims history of patients with and without AS.
Female Aged Young Adult Adult Child Humans Male Models, Theoretical United States Machine Learning Middle Aged Early Diagnosis Databases, Factual Spondylitis, Ankylosing Retrospective Studies Risk Assessment Adolescent
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Open access image repositories: high-quality data to enable machine learning research.

Clinical radiology Apr 28, 2019
Originally motivated by the need for research reproducibility and data reuse, large-scale, open access information repositories have become key resources for training and testing of advanced machine learning applications in biomedical and clinical re...
Information Storage and Retrieval Radiology Information Systems Humans Diagnosis, Computer-Assisted Machine Learning United States Biomedical Research Radiology Neoplasms Access to Information
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