AIMC Topic: Tertiary Care Centers

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Extravalidation and reproducibility results of a commercial deep learning-based automatic detection algorithm for pulmonary nodules on chest radiographs at tertiary hospital.

Journal of medical imaging and radiation oncology Oct 8, 2020
INTRODUCTION: To extra validate and evaluate the reproducibility of a commercial deep convolutional neural network (DCNN) algorithm for pulmonary nodules on chest radiographs (CRs) and to compare its performance with radiologists.
Algorithms Retrospective Studies Reproducibility of Results Deep Learning Tertiary Care Centers Radiography, Thoracic Humans
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Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital.

Diagnostic microbiology and infectious disease Jun 8, 2020
Previous studies have shown promising results of machine learning (ML) models for predicting health outcomes. We develop and test ML models for predicting Clostridioides difficile infection (CDI) in hospitalized patients. This is a retrospective coho...
Male Middle Aged Diarrhea ROC Curve Logistic Models Area Under Curve Forecasting Anti-Bacterial Agents Retrospective Studies Female Aged Bayes Theorem Tertiary Care Centers Clostridium Infections Humans Clostridioides difficile Machine Learning
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Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.

BJS open Apr 30, 2020
BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but their impact on robotic low rectal proctectomy is not fully investigated. This study assessed the impact of an ERAS pathway on the outcomes and cost of...
Length of Stay Robotics Laparoscopy Aged Tertiary Care Centers Rectal Neoplasms Aged, 80 and over France Humans Adult Costs and Cost Analysis Retrospective Studies Male Enhanced Recovery After Surgery Female Middle Aged Proctectomy
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Uterine Rupture Vaginal Birth after Cesarean Delivery, Obstetric Apgar Score Fetal Weight Extraction, Obstetrical Trial of Labor Parity Risk Factors Adult Risk Assessment ROC Curve Organ Size Area Under Curve Tertiary Care Centers Feasibility Studies Head Gestational Age Retrospective Studies Pregnancy Female Infant, Newborn Cesarean Section Humans Machine Learning
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Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.

Scientific reports Jan 14, 2020
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmonary tuberculosis (PTB) screening when interpreted by human readers. However, they are challenging to scale due to hardware costs and the dearth of pro...
Humans Software Retrospective Studies Diagnosis, Computer-Assisted Deep Learning ROC Curve India Tertiary Care Centers Tuberculosis, Pulmonary Female Reproducibility of Results Male Middle Aged Case-Control Studies Mycobacterium tuberculosis Radiography, Thoracic
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Triaging ophthalmology outpatient referrals with machine learning: A pilot study.

Clinical & experimental ophthalmology Nov 14, 2019
IMPORTANCE: Triaging of outpatient referrals to ophthalmology services is required for the maintenance of patient care and appropriate resource allocation. Machine learning (ML), in particular natural language processing, may be able to assist with t...
Referral and Consultation Eye Diseases Outpatients Retrospective Studies Female Aged Adult Male Middle Aged Pilot Projects Humans Triage Neural Networks, Computer Area Under Curve Machine Learning Ophthalmology Tertiary Care Centers
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Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

Journal of infection in developing countries Oct 31, 2019
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...
Acinetobacter Infections Acinetobacter baumannii Bacterial Proteins Humans Tertiary Care Centers Anti-Bacterial Agents Carbapenems Drug Resistance, Microbial Female Colistin beta-Lactamases Male Tigecycline Pakistan Microbial Sensitivity Tests
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Validation of an alcohol misuse classifier in hospitalized patients.

Alcohol (Fayetteville, N.Y.) Sep 28, 2019
BACKGROUND: Current modes of identifying alcohol misuse in hospitalized patients rely on self-report questionnaires and diagnostic codes that have limitations, including low sensitivity. Information in the clinical notes of the electronic health reco...
Humans Electronic Health Records Female Reproducibility of Results Adult Sensitivity and Specificity Male Supervised Machine Learning Alcoholism Middle Aged Case-Control Studies Inpatients Natural Language Processing Tertiary Care Centers
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Oncologic outcomes in patients treated with endoscopic robot assisted simple enucleation (ERASE) for renal cell carcinoma: Results from a tertiary referral center.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 4, 2019
INTRODUCTION: Open Simple Enucleation (OSE) has been demonstrated to be an oncologically safe alternative to standard partial nephrectomy. We assessed the mid-term oncologic outcomes and predictors of disease recurrence in patients treated with Endos...
Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy Margins of Excision Robotics Laparoscopy Tertiary Care Centers Italy Disease-Free Survival Male Middle Aged Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Survival Rate
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Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

Infection control and hospital epidemiology Nov 6, 2017
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of magnitude among different hospitals, implying that infection control officers need precise, local analyses to guide rational decision making between in...
Length of Stay Adolescent Logistic Models Tertiary Care Centers New York Humans Aged, 80 and over Machine Learning Cross Infection Young Adult Retrospective Studies Adult Clostridium Infections Electronic Health Records Male Propensity Score Female Middle Aged Clostridioides difficile Aged Health Care Costs
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