AIMC Topic: Outcome Assessment, Health Care
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Study of machine learning techniques for outcome assessment of leptospirosis patients.
Scientific reports
Jun 17, 2024
Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical regions, and is associated with significant socio-economic deficiencies. Its symptoms are often confused with other syndromes, which can compromise cl...
Video-based assessments of activities of daily living: generating real-world evidence in pediatric rare diseases.
Expert review of pharmacoeconomics & outcomes research
Jun 7, 2024
INTRODUCTION: Preserving function and independence to perform activities of daily living (ADL) is critical for patients and carers to manage the burden of care and improve quality of life. In children living with rare diseases, video recording ADLs o...
Task-Oriented Training by a Personalized Electromyography-Driven Soft Robotic Hand in Chronic Stroke: A Randomized Controlled Trial.
Neurorehabilitation and neural repair
May 29, 2024
BACKGROUND: Intensive task-oriented training has shown promise in enhancing distal motor function among patients with chronic stroke. A personalized electromyography (EMG)-driven soft robotic hand was developed to assist task-oriented object-manipula...
A predictive study of the efficacy of transcutaneous auricular vagus nerve stimulation in the treatment of major depressive disorder: An fMRI-based machine learning analysis.
Asian journal of psychiatry
May 28, 2024
BACKGROUND: In order to improve taVNS efficacy, the usage of fMRI to explore the predictive neuroimaging markers would be beneficial for screening the appropriate MDD population before treatment.
Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality.
European archives of psychiatry and clinical neuroscience
May 21, 2024
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated temporal variations of brain functional sy...
Machine learning models for abstract screening task - A systematic literature review application for health economics and outcome research.
BMC medical research methodology
May 9, 2024
OBJECTIVE: Systematic literature reviews (SLRs) are critical for life-science research. However, the manual selection and retrieval of relevant publications can be a time-consuming process. This study aims to (1) develop two disease-specific annotate...
Future of outcomes research in plastic surgery: Artificial intelligence generated synthetic data and predictive models.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
May 8, 2024
Outcome measures applied to robotic assistive technology for people with cerebral palsy: a pilot study.
Disability and rehabilitation. Assistive technology
Apr 15, 2024
The application of robotic devices is being used as Assistive Technology (AT) for improving rehabilitation interventions. The purposes of this research were to (1) test a novel low-cost robotic AT to support interventions for people with Cerebral Pal...
The Promise and Challenges of Practice-Oriented Research: A Commentary on the Special Issue.
Administration and policy in mental health
Apr 10, 2024
At the centre of POR is the concept of collaboration between patients, therapists, agencies, and third-party payers. For this commentary, I review the articles of the special issue with attention to both the opportunities and challenges offered by pr...
Training intensity of robot-assisted gait training in children with cerebral palsy.
Developmental medicine and child neurology
Feb 1, 2024
AIM: We compared three different intensities of robot-assisted gait training (RAGT) for achieving favourable outcomes in children with cerebral palsy (CP).
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