AIMC Topic: Outcome Assessment, Health Care

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Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.

Human brain mapping Aug 13, 2021
Depression symptom heterogeneity limits the identifiability of treatment-response biomarkers. Whether improvement along dimensions of depressive symptoms relates to separable neural networks remains poorly understood. We build on work describing thre...
Adult Male Middle Aged Machine Learning Female Aged Neuroimaging Cerebral Cortex Electroconvulsive Therapy Depressive Disorder, Major Magnetic Resonance Imaging Outcome Assessment, Health Care Humans
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Timesias: A machine learning pipeline for predicting outcomes from time-series clinical records.

STAR protocols Jul 2, 2021
The prediction of outcomes is a critical part of the clinical surveillance for hospitalized patients. Here, we present Timesias, a machine learning pipeline which predicts outcomes from real-time sequential clinical data. The strategy implemented in ...
Algorithms Prognosis Time Factors Outcome Assessment, Health Care Humans Medical Records Machine Learning
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How does artificial intelligence in radiology improve efficiency and health outcomes?

Pediatric radiology Jun 12, 2021
Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it will improve health care and reduce costs. Has AI been able to fulfill that promise? We describe six clinical objectives that can be supported by AI: a ...
Humans Artificial Intelligence Contrast Media Outcome Assessment, Health Care Radiography Radiology
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Rethinking PICO in the Machine Learning Era: ML-PICO.

Applied clinical informatics May 19, 2021
BACKGROUND: Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML papers that f...
Machine Learning Outcome Assessment, Health Care
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Unbiased Recursive Partitioning Enables Robust and Reliable Outcome Prediction in Acute Spinal Cord Injury.

Journal of neurotrauma Apr 7, 2021
Neurological disorders usually present very heterogeneous recovery patterns. Nonetheless, accurate prediction of future clinical end-points and robust definition of homogeneous cohorts are necessary for scientific investigation and targeted care. For...
Prognosis Reproducibility of Results Recovery of Function Algorithms Computer Simulation Data Interpretation, Statistical Outcome Assessment, Health Care Spinal Cord Injuries Humans Machine Learning
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Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis.

Journal of rehabilitation medicine Apr 1, 2021
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke survivors.
Robotics Stroke Outcome Assessment, Health Care Stroke Rehabilitation Humans
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Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood Mar 8, 2021
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...
Hostility Psychological Distress Social Interaction Expressed Emotion Humans Female Infant, Newborn Male Evaluation Studies as Topic Adolescent Infant Observational Studies as Topic Outcome Assessment, Health Care Anxiety Disorders Randomized Controlled Trials as Topic Child, Preschool Ambulatory Care Robotics Child
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Artificial intelligence in outcomes research: a systematic scoping review.

Expert review of pharmacoeconomics & outcomes research Feb 17, 2021
: Despite the number of systematic reviews of how artificial intelligence is being used in different areas of medicine, there is no study on the scope of artificial intelligence methods used in outcomes research, the cornerstone of health technology ...
Neoplasms Decision Making Outcome Assessment, Health Care Prognosis Humans Neural Networks, Computer Technology Assessment, Biomedical Adult Artificial Intelligence Algorithms
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Effects of Robotic Therapy Associated With Noninvasive Brain Stimulation on Upper-Limb Rehabilitation After Stroke: Systematic Review and Meta-analysis of Randomized Clinical Trials.

Neurorehabilitation and neural repair Feb 1, 2021
BACKGROUND: Robot-assisted therapy and noninvasive brain stimulation (NIBS) are promising strategies for stroke rehabilitation.
Stroke Rehabilitation Transcranial Direct Current Stimulation Transcranial Magnetic Stimulation Therapy, Computer-Assisted Upper Extremity Robotics Stroke Outcome Assessment, Health Care Humans Randomized Controlled Trials as Topic
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Approaches to assessing the impact of robotics in geriatric mental health care: a scoping review.

International review of psychiatry (Abingdon, England) Jan 21, 2021
The goals of this scoping literature review are to (1) aggregate the current research involving socially assistive robots in the setting of geriatric psychiatry and (2) examine the outcome measures used in these studies and determine where the gaps a...
Robotics Geriatrics Humans Outcome Assessment, Health Care Aged COVID-19 Mental Health Services
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