AIMC Topic: Disease Management

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Can Machine Learning help us in dealing with treatment resistant depression? A review.

Journal of affective disorders Aug 13, 2019
BACKGROUND: About one third of patients treated with antidepressant do not show sufficient symptoms relief and up to 15% of patients remain symptomatic even after multiple trials are applied, configuring a state called treatment resistant depression ...
Evidence-Based Practice Humans Depressive Disorder, Treatment-Resistant Machine Learning Algorithms Disease Management Antidepressive Agents Female Drug Resistance Adult Male
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Presidential Address: On Resisting the Narcissism of the Present.

Annals of surgical oncology Aug 1, 2019
Humans Disease Management Artificial Intelligence Automation Female Narcissism Breast Neoplasms
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Patient-based prediction algorithm of relapse after allo-HSCT for acute Leukemia and its usefulness in the decision-making process using a machine learning approach.

Cancer medicine Jul 15, 2019
Although allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative therapy for high-risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with...
Survival Analysis Disease Management Hematopoietic Stem Cell Transplantation Models, Theoretical Treatment Outcome Decision Trees Transplantation, Homologous Patient Participation Female Young Adult Adult Leukemia, Myeloid, Acute Male Middle Aged Algorithms Prognosis Clinical Decision-Making Humans Machine Learning
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Artificial intelligence to support clinical decision-making processes.

EBioMedicine Jul 11, 2019
Neural Networks, Computer Artificial Intelligence Machine Learning Humans Decision Support Systems, Clinical Communicable Diseases Disease Management Clinical Decision-Making Medical Informatics
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A renaissance of teleophthalmology through artificial intelligence.

Eye (London, England) Jan 8, 2019
Female Male Middle Aged Ophthalmology Diabetic Retinopathy Telemedicine Artificial Intelligence Humans Disease Management Clinical Decision-Making
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Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods.

Journal of medical Internet research Nov 15, 2018
BACKGROUND: Measuring and predicting pain volatility (fluctuation or variability in pain scores over time) can help improve pain management. Perceptions of pain and its consequent disabling effects are often heightened under the conditions of greater...
Humans Machine Learning Mobile Applications Data Mining Disease Management Chronic Pain Volatilization
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Current state and future prospects of artificial intelligence in ophthalmology: a review.

Clinical & experimental ophthalmology Sep 30, 2018
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has broad application across many medical fields, it will have particular utility in ophthalmology and will dramatically change the diagnostic and ...
Eye Diseases Humans Deep Learning Artificial Intelligence Ophthalmology Biomedical Research Disease Management
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Current trends of digital solutions for diabetes management.

Diabetes & metabolic syndrome Jul 29, 2018
Industry 4.0 is an updated concept of smart production, which is identified with the fourth industrial revolution and the emergence of cyber-physical systems. Industry 4.0 is the next stage in the digitization of productions and industries, where suc...
Disease Management Diabetes Mellitus Internet Humans Machine Learning Artificial Intelligence Delivery of Health Care Big Data
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Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Current hypertension reports Jul 6, 2018
PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hyperte...
Humans Artificial Intelligence Disease Management Practice Guidelines as Topic Precision Medicine Biomedical Research Hypertension
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Deep learning guided stroke management: a review of clinical applications.

Journal of neurointerventional surgery Sep 27, 2017
Stroke is a leading cause of long-term disability, and outcome is directly related to timely intervention. Not all patients benefit from rapid intervention, however. Thus a significant amount of attention has been paid to using neuroimaging to assess...
Machine Learning Neuroimaging Humans Stroke Neural Networks, Computer Disease Management
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