AIMC Topic: Retrospective Studies

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Predictive modeling for peri-implantitis by using machine learning techniques.

Scientific reports May 27, 2021
The purpose of this retrospective cohort study was to create a model for predicting the onset of peri-implantitis by using machine learning methods and to clarify interactions between risk indicators. This study evaluated 254 implants, 127 with and 1...
Male Middle Aged Risk Assessment Peri-Implantitis Dental Implants Stomatitis Female Risk Factors Aged Humans Machine Learning Retrospective Studies
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Authors' Reply to: Minimizing Selection and Classification Biases Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing".

Journal of medical Internet research May 26, 2021
Natural Language Processing Bias Retrospective Studies COVID-19 Intensive Care Units Humans Prognosis SARS-CoV-2 Machine Learning
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Minimizing Selection and Classification Biases. Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing".

Journal of medical Internet research May 26, 2021
Humans Intensive Care Units COVID-19 Machine Learning Prognosis SARS-CoV-2 Natural Language Processing Retrospective Studies Bias
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Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.

Journal of magnetic resonance imaging : JMRI May 25, 2021
BACKGROUND: Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brain and up to 50% of patients develop brain metastases (BMs). Detection of BMs on MRI is challenging with an inherent risk of missed diagnosis.
Retrospective Studies Brain Neoplasms Deep Learning Humans Magnetic Resonance Imaging Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods.

Journal of managed care & specialty pharmacy May 25, 2021
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely b...
Medicaid Pharmaceutical Services United States Regression Analysis Medication Therapy Management Adult Male Middle Aged Child, Preschool Humans Child Infant Adolescent Aged Artificial Intelligence Aged, 80 and over Retrospective Studies Young Adult Female
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Prediction of Bedridden Duration of Hospitalized Patients by Machine Learning Based on EMRs at Admission.

Computers, informatics, nursing : CIN May 25, 2021
Being bedridden is a frequent comorbid condition that leads to a series of complications in clinical practice. The present study aimed to predict bedridden duration of hospitalized patients based on EMR at admission by machine learning. The medical d...
Hospitalization Logistic Models Support Vector Machine Humans Machine Learning Retrospective Studies
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Surgical Outcomes of Hysterectomy via Robot-assisted versus Traditional Transvaginal Natural Orifice Transluminal Endoscopic Surgery.

Journal of minimally invasive gynecology May 24, 2021
STUDY OBJECTIVE: To evaluate the safety and feasibility of robot-assisted transvaginal natural orifice transluminal endoscopic surgery (R-vNOTES) hysterectomy when compared with traditional vNOTES (T-vNOTES) hysterectomy.
Humans Robotics Hysterectomy Retrospective Studies Natural Orifice Endoscopic Surgery Female Treatment Outcome
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Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia May 24, 2021
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cerebrospinal fluid (CSF) flow across the cerebral aqueduct has been utilized for diagnosis of conditions such as normal pressure hydrocephalus (NPH). This...
Male Humans Middle Aged Child Neural Networks, Computer Aged Young Adult Infant Female Deep Learning Magnetic Resonance Imaging Retrospective Studies Adult Aged, 80 and over Infant, Newborn Cross-Sectional Studies Hydrocephalus, Normal Pressure Cerebral Aqueduct Adolescent Child, Preschool
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Machine learning for predicting preoperative red blood cell demand.

Transfusion medicine (Oxford, England) May 24, 2021
BACKGROUND: The paucity of accurate quantitative standards for determining the quantity of red blood cells (RBCs) needed for perioperative patients and the predominant application of the "preoperative hemoglobin + surgery type" empirical decision-mak...
Humans Retrospective Studies Artificial Intelligence Machine Learning Blood Transfusion Erythrocytes
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Application of nano-carbon and titanium clip combined labeling in robot-assisted laparoscopic transverse colon cancer surgery.

BMC surgery May 24, 2021
BACKGROUND: Robot-assisted laparoscopic transverse colon tumor surgery requires precise tumor localization. The purpose of this study was to evaluate the safety and efficacy of nano-carbon and titanium clip combination labeling methods in robot-assis...
Humans Treatment Outcome Carbon Robotics Titanium Retrospective Studies Neoplasms China Laparoscopy Colon, Transverse Surgical Instruments
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