AIMC Topic: Outcome Assessment, Health Care

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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Female Aged, 80 and over Sensitivity and Specificity Male Diagnosis, Computer-Assisted Humans Neural Networks, Computer Outcome Assessment, Health Care Hip Fractures Femur Medical Records, Problem-Oriented Orthopedic Surgeons Deep Learning Diagnosis, Differential Radiography Femoral Neck Fractures
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Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

Journal of neuroengineering and rehabilitation Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
Outcome Assessment, Health Care Middle Aged Humans United States Aged, 80 and over Stroke Rehabilitation Treatment Outcome Machine Learning Young Adult Inpatients Female Adult Stroke Aged Male
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Deep learning in mental health outcome research: a scoping review.

Translational psychiatry Apr 22, 2020
Mental illnesses, such as depression, are highly prevalent and have been shown to impact an individual's physical health. Recently, artificial intelligence (AI) methods have been introduced to assist mental health providers, including psychiatrists a...
Outcome Assessment, Health Care Artificial Intelligence Algorithms Mental Health Deep Learning Humans
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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.

PloS one Apr 6, 2020
State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANN...
Male Middle Aged Logistic Models Supervised Machine Learning Area Under Curve Clinical Decision-Making Humans Outcome Assessment, Health Care Stroke Female Neural Networks, Computer Aged Forecasting Aged, 80 and over Prognosis Retrospective Studies
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Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

BioMed research international Mar 21, 2020
BACKGROUND: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI). . Four electronic databases (PubMed, Scopus, Medline, and Cochrane Central Register of Controlled Trials) we...
Outcome Assessment, Health Care Robotics Humans Spinal Cord Injuries Walking Lower Extremity Muscle Spasticity Gait Muscle Strength Non-Randomized Controlled Trials as Topic Pain Randomized Controlled Trials as Topic
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Humans Neural Networks, Computer Machine Learning Transcranial Magnetic Stimulation Outcome Assessment, Health Care Female Upper Extremity Aged Stroke Rehabilitation Male Evoked Potentials, Motor Magnetic Resonance Imaging Middle Aged Motor Cortex Chronic Disease Severity of Illness Index Stroke Support Vector Machine Exercise Therapy
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BMC musculoskeletal disorders Mar 12, 2020
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiolog...
Humans Machine Learning Prospective Studies Female Adult Male Middle Aged Magnetic Resonance Imaging Lumbar Vertebrae Reproducibility of Results Aged Aged, 80 and over Young Adult Japan Spinal Stenosis Reference Standards Outcome Assessment, Health Care Observer Variation
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Impact of initial flexor synergy pattern scores on improving upper extremity function in stroke patients treated with adjunct robotic rehabilitation: A randomized clinical trial.

Topics in stroke rehabilitation Mar 10, 2020
 Robot-assisted rehabilitation is an appealing strategy for patients after stroke, as it generates repetitive movements in a consistent, precise, and automated manner.  To identify patients who will benefit most from robotic rehabilitation for upper ...
Outcome Assessment, Health Care Humans Paresis Female Upper Extremity Male Aged Stroke Rehabilitation Middle Aged Recovery of Function Robotics Stroke
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Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.

Research synthesis methods Mar 3, 2020
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can...
Risk Assessment Health Policy Randomized Controlled Trials as Topic Bias Outcome Assessment, Health Care Observer Variation Pattern Recognition, Automated Risk Humans Machine Learning Software Reproducibility of Results Sensitivity and Specificity
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Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes.

Computer methods and programs in biomedicine Feb 26, 2020
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artificial pancreas. In this study, we described the performance and safety of learning-type model predictive control (L-MPC) for artificial pancreas challe...
Diabetes Mellitus, Type 1 Outcome Assessment, Health Care Meals Insulin Infusion Systems Pancreas, Artificial Algorithms Male Female Middle Aged Aged Adolescent Humans Young Adult Blood Glucose Machine Learning Adult
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