AIMC Topic: Predictive Value of Tests

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Predictive Model for Selection of Upper Treated Vertebra Using a Machine Learning Approach.

World neurosurgery Oct 19, 2020
OBJECTIVE: To train and validate an algorithm mimicking decision making of experienced surgeons regarding upper instrumented vertebra (UIV) selection in surgical correction of thoracolumbar adult spinal deformity.
Clinical Decision-Making Thoracic Vertebrae Humans Female Predictive Value of Tests Neural Networks, Computer Aged Lumbar Vertebrae Machine Learning Male Lordosis Retrospective Studies Middle Aged
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Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.

Clinical physiology and functional imaging Oct 18, 2020
INTRODUCTION: Lymph node metastases are a key prognostic factor in prostate cancer (PCa), but detecting lymph node lesions from PET/CT images is a subjective process resulting in inter-reader variability. Artificial intelligence (AI)-based methods ca...
Humans Artificial Intelligence Aged Aged, 80 and over Adult Positron Emission Tomography Computed Tomography Prostatic Neoplasms Feasibility Studies Male Survival Analysis Middle Aged Image Interpretation, Computer-Assisted Lymph Nodes Lymphatic Metastasis Predictive Value of Tests
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Development of a prognostic model for mortality in COVID-19 infection using machine learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 16, 2020
Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has quickly risen since the beginning of 2020 to become a global pandemic. As a result of the rap...
Support Vector Machine Prognosis Predictive Value of Tests Humans Retrospective Studies Blood Chemical Analysis COVID-19 Reproducibility of Results Decision Support Techniques Risk Factors Biomarkers Risk Assessment
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Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
International Classification of Diseases Health Services Research Administrative Claims, Healthcare Support Vector Machine Predictive Value of Tests Data Mining Intracranial Hemorrhages Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Humans Phenotype Female
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Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.

Gynecologic oncology Oct 14, 2020
OBJECTIVE: To determine if natural language processing (NLP) with machine learning of unstructured full text documents (a preoperative CT scan) improves the ability to predict postoperative complication and hospital readmission among women with ovari...
Tomography, X-Ray Computed Female Middle Aged Cohort Studies Treatment Outcome Models, Statistical Ovarian Neoplasms Predictive Value of Tests Natural Language Processing Humans Machine Learning
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Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record.

Circulation. Cardiovascular quality and outcomes Oct 14, 2020
BACKGROUND: The electronic medical record contains a wealth of information buried in free text. We created a natural language processing algorithm to identify patients with atrial fibrillation (AF) using text alone.
Diagnosis, Computer-Assisted Predictive Value of Tests Natural Language Processing Atrial Fibrillation Utah Aged, 80 and over Humans Male Chicago Electronic Health Records Middle Aged Female Prevalence Reproducibility of Results Aged
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The Challenges of Implementing Artificial Intelligence into Surgical Practice.

World journal of surgery Oct 13, 2020
BACKGROUND: Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and i...
Bilirubin Liver Function Tests Choledocholithiasis Predictive Value of Tests Acute Disease Biliary Tract Diseases Cholangiopancreatography, Endoscopic Retrograde Machine Learning Computer Simulation Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Humans Artificial Intelligence
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Early Feasibility of Automated Artificial Intelligence Angiography Based Fractional Flow Reserve Estimation.

The American journal of cardiology Oct 13, 2020
Despite the evidence of improved patients' outcome, fractional flow reserve (FFR) is underused in current everyday practice. We aimed to evaluate the feasibility of a novel automated artificial intelligence angiography-based FFR software (AutocathFFR...
Feasibility Studies Coronary Vessels Fractional Flow Reserve, Myocardial ROC Curve Predictive Value of Tests Coronary Angiography Coronary Artery Disease Humans Artificial Intelligence Prospective Studies Female Male Middle Aged Time Factors
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Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.

La Radiologia medica Oct 12, 2020
OBJECTIVE: To evaluate by means of regression models the relationships between baseline clinical and laboratory data and lung involvement on baseline chest CT and to quantify the thoracic disease using an artificial intelligence tool and a visual sco...
Humans Artificial Intelligence SARS-CoV-2 Aged Aged, 80 and over Adult Male COVID-19 Prognosis Tomography, X-Ray Computed Female Pneumonia, Viral Middle Aged Severity of Illness Index Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted
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Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease.

Circulation. Cardiovascular interventions Oct 12, 2020
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro...
Ankle Brachial Index Endovascular Procedures Vascular Surgical Procedures Amputation, Surgical Aged Humans Aged, 80 and over Electronic Health Records Male Female Middle Aged Reproducibility of Results Diagnosis, Computer-Assisted Peripheral Arterial Disease Predictive Value of Tests Natural Language Processing Data Mining
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