AIMC Topic: Severity of Illness Index

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Deep learning quantification of percent steatosis in donor liver biopsy frozen sections.

EBioMedicine Sep 24, 2020
BACKGROUND: Pathologist evaluation of donor liver biopsies provides information for accepting or discarding potential donor livers. Due to the urgent nature of the decision process, this is regularly performed using frozen sectioning at the time of b...
Biopsy Liver Transplantation Immunohistochemistry Molecular Sequence Annotation Frozen Sections Humans Neural Networks, Computer Algorithms Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Fatty Liver Living Donors
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Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation.

The Lancet. Digital health Sep 22, 2020
BACKGROUND: Prompt identification of patients suspected to have COVID-19 is crucial for disease control. We aimed to develop a deep learning algorithm on the basis of chest CT for rapid triaging in fever clinics.
China Triage Male Middle Aged Lung Severity of Illness Index Deep Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult COVID-19 Algorithms Retrospective Studies Humans
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Humans Artificial Intelligence COVID-19 Prognosis Retrospective Studies Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Comorbidity Severity of Illness Index Tomography, X-Ray Computed Intensive Care Units Female SARS-CoV-2 Hospitalization Mortality Neurodegenerative Diseases Coronary Artery Disease Sex Factors Deep Learning Proportional Hazards Models Age Factors Radiography, Thoracic Radiography Emergency Service, Hospital Italy
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Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.

The American journal of cardiology Sep 15, 2020
Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illustrate the potential use of a semisupervised automated machine-learning (AutoML) pipeline for phenotyping patients who underwent transcatheter aortic va...
Cohort Studies Treatment Outcome Aortic Valve Stenosis Transcatheter Aortic Valve Replacement Humans Machine Learning Phenotype Female Aged Aged, 80 and over Male Risk Assessment Severity of Illness Index
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Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia 'A'.

Genomics Sep 11, 2020
Haemophilia is an X-linked genetic disorder in which A and B types are the most common that occur due to absence or lack of protein factors VIII and IX, respectively. Severity of the disease depends on mutation. Available Machine Learning (ML) method...
Machine Learning Severity of Illness Index Mutation Hemophilia A Humans
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Personalized prediction of daily eczema severity scores using a mechanistic machine learning model.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology Sep 9, 2020
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and remission. Designing personalized treatment strategies for AD is challenging, given the apparent unpredictability and large variation in AD symptoms ...
Humans Treatment Outcome Predictive Value of Tests Bayes Theorem Probability Proof of Concept Study Dermatitis, Atopic Machine Learning Reproducibility of Results Severity of Illness Index Diagnosis, Computer-Assisted Time Factors
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Does including machine learning predictions in ALS clinical trial analysis improve statistical power?

Annals of clinical and translational neurology Aug 30, 2020
OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progressive muscle weakness and eventually death. The increasing availability of large ALS clinical trial datasets have generated much interest in developing...
Linear Models Databases, Factual Disease Progression Severity of Illness Index Humans Amyotrophic Lateral Sclerosis Machine Learning Neurodegenerative Diseases
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The role of sacubitril/valsartan in the treatment of chronic heart failure with reduced ejection fraction in hypertensive patients with comorbidities: From clinical trials to real-world settings.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Aug 21, 2020
BACKGROUND: Sacubitril/valsartan, the first agent to be approved in a new class of drugs called angiotensin receptor neprilysin inhibitors (ARNIs), has been shown to reduce cardiovascular mortality and morbidity compared to enalapril in outpatient su...
Chronic Disease Heart Failure Patient Readmission Aminobutyrates Biphenyl Compounds Stroke Volume Severity of Illness Index Hypertension Treatment Outcome Drug Combinations Humans Prognosis Female Aged Male Clinical Studies as Topic Valsartan Ventricular Dysfunction, Left
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Female Reproducibility of Results Hospitalization Aged Adult Male Middle Aged Risk Assessment Severity of Illness Index China Humans Machine Learning Pandemics Predictive Value of Tests COVID-19 Testing COVID-19 Clinical Laboratory Techniques Triage Sex Factors Retrospective Studies Pneumonia, Viral Area Under Curve Survival Analysis Italy Internationality Coronavirus Infections Belgium Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Age Factors
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Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.

Gynecologic oncology Aug 16, 2020
OBJECTIVE: Artificial intelligence (AI) could automatedly detect abnormalities in digital cytological images, however, the effect in cervical cancer screening is inconclusive. We aim to evaluate the performance of AI-assisted cytology for the detecti...
Biopsy Humans Datasets as Topic Female Uterine Cervical Dysplasia Adult Papillomavirus Infections Papillomaviridae Middle Aged Uterine Cervical Neoplasms Cervix Uteri Colposcopy Severity of Illness Index Early Detection of Cancer Neoplasm Invasiveness Deep Learning Predictive Value of Tests Image Processing, Computer-Assisted Triage Vaginal Smears
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