AIMC Topic: Retrospective Studies

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Re: Francesco Soria, Marco Moschini, David D'Andrea, et al. Comparative Effectiveness in Perioperative Outcomes of Robotic versus Open Radical Cystectomy: Results from a Multicenter Contemporary Retrospective Cohort Study. Eur Urol Focus 2020;6:1233-9.

European urology focus Apr 3, 2021
Robotic Surgical Procedures Cystectomy Retrospective Studies Urinary Bladder Neoplasms Robotics Humans
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Risk Assessment Time Factors Treatment Outcome Support Vector Machine Dilatation, Pathologic Male Middle Aged Vascular Remodeling Aorta Aortic Rupture Aortic Dissection Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Decision Support Techniques Retrospective Studies Electronic Health Records Clinical Decision-Making Female Risk Factors Aged Adult Humans Neural Networks, Computer
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Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage.

Journal of the American College of Radiology : JACR Apr 3, 2021
OBJECTIVE: To determine the institutional diagnostic accuracy of an artificial intelligence (AI) decision support systems (DSS), Aidoc, in diagnosing intracranial hemorrhage (ICH) on noncontrast head CTs and to assess the potential generalizability o...
Humans Male Middle Aged Deep Learning Female Intracranial Hemorrhages Artificial Intelligence Aged Algorithms Aged, 80 and over Retrospective Studies Adult
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Application of machine learning techniques to physical and rehabilitative medicine.

Annali di igiene : medicina preventiva e di comunita Apr 2, 2021
Nowadays, digital information has increased exponentially in every field to such an extent that it generates huge amounts of electronic data, namely Big Data. In the field of Artificial Intelligence, Machine Learning can be exploited in order to tran...
Machine Learning Algorithms Databases, Factual Retrospective Studies Humans Artificial Intelligence
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Computational methods to automate the initial interpretation of lower extremity arterial Doppler and duplex carotid ultrasound studies.

Journal of vascular surgery Apr 2, 2021
BACKGROUND: Lower extremity arterial Doppler (LEAD) and duplex carotid ultrasound studies are used for the initial evaluation of peripheral arterial disease and carotid stenosis. However, intra- and inter-laboratory variability exists between interpr...
Peripheral Arterial Disease Predictive Value of Tests Image Interpretation, Computer-Assisted Automation Reproducibility of Results Severity of Illness Index Lower Extremity Carotid Stenosis Ultrasonography, Doppler, Duplex Humans Neural Networks, Computer Machine Learning Retrospective Studies
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The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery.

Journal of cardiothoracic and vascular anesthesia Apr 1, 2021
OBJECTIVES: The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the model with real data and a comparison with conventional multiple lin...
Retrospective Studies Female Risk Factors Aged Male Middle Aged Hospital Mortality Coronary Artery Bypass Humans Neural Networks, Computer
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Artificial Intelligence Efficiently Identifies Regional Differences in the Progression of Tomographic Parameters of Keratoconic Corneas.

Journal of refractive surgery (Thorofare, N.J. : 1995) Apr 1, 2021
PURPOSE: To develop an artificial intelligence (AI) model to effectively assess local versus global progression of keratoconus using multiple tomographic parameters.
Keratoconus Corneal Topography Humans Artificial Intelligence Retrospective Studies Cornea
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Development and Validation of a Machine Learning Model to Estimate Bacterial Sepsis Among Immunocompromised Recipients of Stem Cell Transplant.

JAMA network open Apr 1, 2021
IMPORTANCE: Sepsis disproportionately affects recipients of allogeneic hematopoietic cell transplant (allo-HCT), and timely detection is crucial. However, the atypical presentation of sepsis within this population makes detection challenging, and exi...
Middle Aged Risk Assessment Humans Sepsis Retrospective Studies Hematopoietic Stem Cell Transplantation ROC Curve Machine Learning Female Random Allocation Decision Support Techniques Adult Immunocompetence Male
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Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.

PloS one Apr 1, 2021
BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.
Male Humans COVID-19 Emergency Service, Hospital Middle Aged Retrospective Studies Machine Learning Ventilators, Mechanical Respiration, Artificial Female Pandemics Hospital Mortality Aged
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Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.

Respiratory research Mar 31, 2021
BACKGROUND: Pneumonia is the most frequently encountered postoperative pulmonary complications (PPC) after orthotopic liver transplantation (OLT), which cause high morbidity and mortality rates. We aimed to develop a model to predict postoperative pn...
Pneumonia Risk Factors Humans Retrospective Studies Predictive Value of Tests Adult Machine Learning Risk Assessment Electronic Health Records Male Liver Transplantation Female Middle Aged Deep Learning Treatment Outcome Support Vector Machine
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