AIMC Topic: Outcome Assessment, Health Care

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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Diffusion Tensor Imaging Language Tests Aphasia Severity of Illness Index Functional Neuroimaging Support Vector Machine Magnetic Resonance Imaging Aged Multimodal Imaging Aged, 80 and over Chronic Disease Adult Humans Stroke Male Female Middle Aged Outcome Assessment, Health Care Neuroimaging Cerebrovascular Circulation
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Identifiable Patterns of Trait, State, and Experience in Chronic Stroke Recovery.

Neurorehabilitation and neural repair Dec 22, 2020
BACKGROUND: Considerable evidence indicates that the functional connectome of the healthy human brain is highly stable, analogous to a fingerprint.
Female Aged Adult Male Middle Aged Humans Individuality Connectome Stroke Rehabilitation Aphasia Language Therapy Support Vector Machine Magnetic Resonance Imaging Chronic Disease Ischemic Stroke Outcome Assessment, Health Care
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Comparing machine and deep learning-based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging.

Human brain mapping Nov 13, 2020
Previous work using logistic regression suggests that cognitive control-related frontoparietal activation in early psychosis can predict symptomatic improvement after 1 year of coordinated specialty care with 66% accuracy. Here, we evaluated the abil...
Machine Learning Female Young Adult Adult Male Humans Follow-Up Studies Magnetic Resonance Imaging Schizophrenia Outcome Assessment, Health Care Psychomotor Performance Deep Learning Functional Neuroimaging Adolescent Bipolar Disorder Support Vector Machine Dorsolateral Prefrontal Cortex Executive Function
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A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

The Journal of surgical research Oct 21, 2020
BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. F...
Automated Facial Recognition Minority Groups Humans Gastroenterology Cultural Diversity Quality Assurance, Health Care Artificial Intelligence Gender Equity United States Quality Indicators, Health Care Hospital Departments Female Ethnicity Male Outcome Assessment, Health Care Patient Satisfaction
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A comparison of the effects and usability of two exoskeletal robots with and without robotic actuation for upper extremity rehabilitation among patients with stroke: a single-blinded randomised controlled pilot study.

Journal of neuroengineering and rehabilitation Oct 19, 2020
BACKGROUND: Robotic rehabilitation of stroke survivors with upper extremity dysfunction may yield different outcomes depending on the robot type. Considering that excessive dependence on assistive force by robotic actuators may interfere with the pat...
Exoskeleton Device Upper Extremity Stroke Rehabilitation Humans Female Aged Adult Male Middle Aged Pilot Projects Robotics Stroke Outcome Assessment, Health Care
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Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.

Annals of clinical and translational neurology Sep 29, 2020
OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, particularly in those with presumed delayed cerebral ischemia (DCI). The ability to accurately predict survival for SAH patients during the hospital course ...
Humans Machine Learning Databases, Factual Female Aged Adult Male Middle Aged Subarachnoid Hemorrhage Vasoconstrictor Agents Outcome Assessment, Health Care Brain Ischemia
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Artificial intelligence in trauma systems.

Surgery Sep 10, 2020
Local trauma care and regional trauma systems are data-rich environments that are amenable to machine learning, artificial intelligence, and big-data analysis mechanisms to improve timely access to care, to measure outcomes, and to improve quality of...
Outcome Assessment, Health Care Decision Making, Organizational Trauma Centers Resource Allocation Machine Learning Regional Health Planning Forecasting Big Data United States Health Services Accessibility Humans
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Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices.

Surgery Sep 9, 2020
Setting patient and family expectations for postoperative outcomes is an important aspect of care, a cornerstone of which is accurate, personalized, and explainable risk estimation. Modern machine learning offers a plethora of models that can effecti...
Telemedicine Outcome Assessment, Health Care Disease Management General Surgery Computers, Handheld Risk Assessment Postoperative Complications Models, Theoretical Humans Postoperative Care Machine Learning Algorithms Clinical Decision-Making Risk Factors
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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...
Orthopedic Surgeons Femoral Neck Fractures Neural Networks, Computer Outcome Assessment, Health Care Female Hip Fractures Diagnosis, Computer-Assisted Aged, 80 and over Humans Femur Deep Learning Sensitivity and Specificity Medical Records, Problem-Oriented Diagnosis, Differential Male Radiography
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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...
Adult Male Middle Aged United States Treatment Outcome Female Aged Aged, 80 and over Young Adult Inpatients Humans Stroke Machine Learning Outcome Assessment, Health Care Stroke Rehabilitation
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