AI Medical Compendium Topic:
Severity of Illness Index

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A Novel Machine Learning-derived Radiomic Signature of the Whole Lung Differentiates Stable From Progressive COVID-19 Infection: A Retrospective Cohort Study.

Journal of thoracic imaging Nov 1, 2020
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to evaluate the prognosis of patients with coronavirus disease 2019 (COVID-19) infection.
Tomography, X-Ray Computed Female Reproducibility of Results SARS-CoV-2 Humans Machine Learning COVID-19 Retrospective Studies Lung Severity of Illness Index Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Disease Progression
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Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.

Health technology assessment (Winchester, England) Oct 1, 2020
BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm outcomes.
Adult Male Middle Aged Quality of Life Humans Female Aged Activities of Daily Living Cost-Benefit Analysis Models, Economic Quality-Adjusted Life Years Severity of Illness Index Recovery of Function Robotics Single-Blind Method Stroke Rehabilitation Technology Assessment, Biomedical United Kingdom State Medicine Upper Extremity
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A Time-Phased Machine Learning Model for Real-Time Prediction of Sepsis in Critical Care.

Critical care medicine Oct 1, 2020
OBJECTIVES: As a life-threatening condition, sepsis is one of the major public health issues worldwide. Early prediction can improve sepsis outcomes with appropriate interventions. With the PhysioNet/Computing in Cardiology Challenge 2019, we aimed t...
Intensive Care Units Reproducibility of Results Severity of Illness Index Sepsis Time Factors Critical Care Early Diagnosis Vital Signs Humans Machine Learning Retrospective Studies
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Situating Artificial Intelligence in Surgery: A Focus on Disease Severity.

Annals of surgery Sep 1, 2020
OBJECTIVES: Artificial intelligence (AI) has numerous applications in surgical quality assurance. We assessed AI accuracy in evaluating the critical view of safety (CVS) and intraoperative events during laparoscopic cholecystectomy. We hypothesized t...
Reproducibility of Results Humans Artificial Intelligence Severity of Illness Index Retrospective Studies Video Recording Cholecystectomy, Laparoscopic
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Clinically Applicable Deep Learning Framework for Measurement of the Extent of Hair Loss in Patients With Alopecia Areata.

JAMA dermatology Sep 1, 2020
This study aims to develop a deep learning framework to determine the Severity of Alopecia Tool (SALT) score for measurement of hair loss in patients with alopecia areata.
Humans Scalp Deep Learning Prognosis Alopecia Areata Image Processing, Computer-Assisted Severity of Illness Index Hair Photography
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Patient Acceptance of Health Care Comorbidity Severity of Illness Index Adolescent Child, Preschool Child ROC Curve Socioeconomic Factors Attention Deficit Disorder with Hyperactivity Machine Learning Female Risk Factors Male Humans
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An Automated Algorithm Incorporating Poincaré Analysis Can Quantify the Severity of Opioid-Induced Ataxic Breathing.

Anesthesia and analgesia May 1, 2020
BACKGROUND: Opioid-induced respiratory depression (OIRD) is traditionally recognized by assessment of respiratory rate, arterial oxygen saturation, end-tidal CO2, and mental status. Although an irregular or ataxic breathing pattern is widely recogniz...
Humans Respiratory Rate Male Machine Learning Severity of Illness Index Analgesics, Opioid Algorithms Respiratory Insufficiency Female Adult
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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.

Journal of thoracic imaging May 1, 2020
OBJECTIVES: The objective of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for the fully automated per lobe segmentation and emphysema quantification (EQ) on chest-computed tomography as it compares to the Globa...
Humans Smokers Aged Severity of Illness Index Artificial Intelligence Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Young Adult Pulmonary Disease, Chronic Obstructive Pulmonary Emphysema Tomography, X-Ray Computed Adult Male Radiography, Thoracic Female Middle Aged Lung
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Emerging imaging techniques for acute pancreatitis.

Abdominal radiology (New York) May 1, 2020
Acute pancreatitis (AP) is caused by acute inflammation of the pancreas and adjacent tissue and is a common source of abdominal pain. The current CT and MRI evaluation of AP is mostly based on morphologic features. Recent advances in image acquisitio...
Humans Artificial Intelligence Prognosis Severity of Illness Index Diagnostic Imaging Pancreatitis
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Depression screening using mobile phone usage metadata: a machine learning approach.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, th...
Telemedicine Depressive Disorder Cell Phone Use Humans Surveys and Questionnaires Adult Neural Networks, Computer Mobile Applications Sensitivity and Specificity Logistic Models Machine Learning Severity of Illness Index Algorithms Area Under Curve Depression
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