AIMC Topic: Disease Management

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Artificial intelligence and TB management - The way forward.

The Indian journal of tuberculosis Jan 1, 2020
Epidemiological Monitoring Education, Distance Disease Eradication Artificial Intelligence Delivery of Health Care India Tuberculosis Disease Management Digital Technology Humans
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Artificial Intelligence for the Determination of a Management Strategy for Diminutive Colorectal Polyps: Hype, Hope, or Help.

The American journal of gastroenterology Jan 1, 2020
Most colorectal polyps are diminutive, and malignant potential for these polyps is uncommon, especially for those in the rectosigmoid. However, many diminutive polyps are still being resected to determine whether these are adenomas or serrated/hyperp...
Humans Artificial Intelligence Colon Disease Management Colonic Polyps Colonoscopy Practice Guidelines as Topic Decision Making Narrow Band Imaging Rectum
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Of Slide Rules and Stethoscopes: AI and the Future of Doctoring.

The Hastings Center report Sep 1, 2019
Historically, the practice of medicine has been a physically intimate endeavor. Physicians have used their hands to palpate and reveal the secrets hidden within the body. Smelling the breath for the ketosis of diabetes or tasting the skin for the sal...
Humans Artificial Intelligence Forecasting Disease Management Precision Medicine Continuity of Patient Care Primary Health Care Physician-Patient Relations
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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Supervised Machine Learning Disease Management Diagnostic Tests, Routine ROC Curve Decision Support Systems, Clinical Follow-Up Studies Infections Patient Admission Hematologic Tests Aged, 80 and over Young Adult Adult Male Middle Aged Cohort Studies Clinical Decision-Making Female Aged Algorithms Biomarkers Prognosis Humans
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Machine learning in pain research.

Pain Apr 1, 2018
Humans Pain Machine Learning Disease Management Biomedical Research
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Machine learning in heart failure: ready for prime time.

Current opinion in cardiology Mar 1, 2018
PURPOSE OF REVIEW: The aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence.
Deep Learning Heart Failure Humans Disease Management Machine Learning
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Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession.

The journal of prevention of Alzheimer's disease Jan 1, 2018
Humans Health Occupations Clinical Competence Dementia Knowledge Bases Disease Management Quality of Health Care
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[The mathematical approaches to differential diagnostics of acute pharyngeal diseases].

Vestnik otorinolaringologii Jan 1, 2017
The objective of the present study was to elaborate the program for differential diagnostics of acute pharyngeal diseases based on the 'ENT-Neuro' artificial neuronal network. The study group was formed by means of sampling patients with acute pharyn...
Patient Selection Disease Management Pharyngeal Diseases Severity of Illness Index Diagnosis, Differential Female Acute Disease Adult Humans Male Neural Networks, Computer
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ST2 Levels Before and After Treatment of NYHA III and IV Heart Failure.

Acta medica Indonesiana Oct 1, 2015
AIM: to find whether ST2 can be used to determine clinical improvement in patients with NYHA III and IV heart failure.
Disease Management Interleukin-1 Receptor-Like 1 Protein Receptors, Cell Surface Adult Female Receptors, Interleukin-1 Severity of Illness Index Enzyme-Linked Immunosorbent Assay Male Aged Humans Adolescent Follow-Up Studies Middle Aged Young Adult Biomarkers Time Factors Heart Failure Prognosis
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