AIMC Topic: Clinical Protocols

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DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

Magnetic resonance imaging Jul 10, 2019
Magnetic resonance imaging (MRI) is a flexible medical imaging modality that often lacks reproducibility between protocols and scanners. It has been shown that even when care is taken to standardize acquisitions, any changes in hardware, software, or...
Longitudinal Studies Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Atrophy Humans Clinical Protocols Brain Reproducibility of Results Deep Learning Cohort Studies
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Perceptions of drones, digital adherence monitoring technologies and educational videos for tuberculosis control in remote Madagascar: a mixed-method study protocol.

BMJ open May 9, 2019
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) control in many regions of the world. TB surveillance and patient support often fall to community health workers (CHWs) who may lack the time or knowl...
Rural Health Services Clinical Protocols Health Education Attitude to Health Madagascar Tuberculosis Telemedicine Video Recording Perception Focus Groups Humans Female Adult Medication Adherence Robotics Antitubercular Agents Cross-Sectional Studies Male Interviews as Topic
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Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. However, existing studies simply apply naive RL algorithms in discovering optimal treatment strategies...
Humans Machine Learning Algorithms Clinical Decision-Making HIV Infections Reinforcement, Psychology Clinical Protocols
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Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain knowledge should be specified...
Reinforcement, Psychology Clinical Protocols Respiration, Artificial Hypnotics and Sedatives Bayes Theorem Critical Care Markov Chains Humans Machine Learning Retrospective Studies Clinical Decision-Making
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Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Male Middle Aged Adolescent Hospital Mortality Cluster Analysis Female Aged Aged, 80 and over Young Adult Adult Respiratory Distress Syndrome Positive-Pressure Respiration Bayes Theorem Pulmonary Alveoli Clinical Protocols Humans Machine Learning
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Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens.

Statistics in medicine Jun 5, 2018
Dynamic treatment regimens (DTRs) are sequential treatment decisions tailored by patient's evolving features and intermediate outcomes at each treatment stage. Patient heterogeneity and the complexity and chronicity of many diseases call for learning...
Humans Machine Learning Algorithms Precision Medicine Depressive Disorder, Major Models, Statistical Outcome Assessment, Health Care Clinical Protocols
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Effectiveness of robot-assisted training added to conventional rehabilitation in patients with humeral fracture early after surgical treatment: protocol of a randomised, controlled, multicentre trial.

Trials Dec 6, 2017
BACKGROUND: The incidence of proximal humeral fractures increases with age. The functional recovery of the upper arm after such fractures is slow, and results are often disappointing. Treatment is associated with long immobilisation periods. Evidence...
Physical Therapy Modalities Clinical Protocols Radiotherapy, Computer-Assisted Shoulder Fractures Fracture Fixation Single-Blind Method Range of Motion, Articular Germany Shoulder Joint Motor Activity Adult Biomechanical Phenomena Male Middle Aged Time Factors Occupational Therapy Pain Measurement Disability Evaluation Treatment Outcome Recovery of Function Robotics Humans Research Design Prospective Studies Female Aged
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Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial.

Trials Jul 20, 2017
BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the protocol for a pragmatic, multicentre randomised controlled trial to determine whether robot-assisted training improves upper limb function following ...
Time Factors Treatment Outcome Recovery of Function Robotics Disability Evaluation Models, Economic Quality-Adjusted Life Years United Kingdom Stroke Exercise Therapy Cost-Benefit Analysis Humans Research Design Biomechanical Phenomena Quality of Life State Medicine Health Care Costs Upper Extremity Stroke Rehabilitation Clinical Protocols
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Effectiveness of robot-assisted gait training in children with cerebral palsy: a bicenter, pragmatic, randomized, cross-over trial (PeLoGAIT).

BMC pediatrics Mar 2, 2017
BACKGROUND: Walking ability is a priority for many children with cerebral palsy (CP) and their parents when considering domains of importance regarding treatment interventions. Partial body-weight supported treadmill training has become an establishe...
Clinical Protocols Walking Gait Exercise Therapy Cross-Over Studies Cerebral Palsy Adolescent Child Treatment Outcome Follow-Up Studies Robotics Single-Blind Method Humans Female Male
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The effectiveness of Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressIve MultiplE sclerosis patients (RAGTIME): study protocol for a randomized controlled trial.

Trials Feb 27, 2017
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to ...
Gait Exercise Therapy Exercise Tolerance Muscle Fatigue Mobility Limitation Postural Balance Disability Evaluation Single-Blind Method Italy Walking Clinical Protocols Multiple Sclerosis, Chronic Progressive Severity of Illness Index Surveys and Questionnaires Adolescent Time Factors Persons with Disabilities Young Adult Treatment Outcome Adult Neuronal Plasticity Biomechanical Phenomena Muscle, Skeletal Male Recovery of Function Middle Aged Robotics Humans Research Design Biomarkers Female Aged
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