AIMC Topic: Aged

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Effect of combined home-based, overground robotic-assisted gait training and usual physiotherapy on clinical functional outcomes in people with chronic stroke: A randomized controlled trial.

Clinical rehabilitation Dec 27, 2020
OBJECTIVES: To assess the effect of a home-based over-ground robotic-assisted gait training program using the AlterG Bionic Leg orthosis on clinical functional outcomes in people with chronic stroke.
Female Aged Male Middle Aged Robotics Humans Stroke Rehabilitation Gait Disorders, Neurologic Walk Test Exercise Therapy Orthotic Devices Paresis Home Care Services
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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

European journal of cancer (Oxford, England : 1990) Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Humans Survival Rate Machine Learning Breast Neoplasms Prognosis Receptors, Progesterone Aged Middle Aged Retrospective Studies Aged, 80 and over Disease Progression Electronic Health Records Follow-Up Studies Young Adult Antineoplastic Combined Chemotherapy Protocols Female Natural Language Processing Adult Receptor, ErbB-2 Receptors, Estrogen
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Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence.

Journal of the American Academy of Dermatology Dec 25, 2020
Adult Middle Aged Treatment Outcome Alopecia Algorithms Forecasting Humans Female Artificial Intelligence Aged Machine Learning
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Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Ophthalmology Dec 25, 2020
PURPOSE: Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical da...
Humans Glaucoma Machine Learning Algorithms Retrospective Studies Female Aged Intraocular Pressure Male Follow-Up Studies Disease Progression Visual Fields Clinical Competence Ophthalmologists ROC Curve Glaucoma, Open-Angle
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Segmentation of Chronic Subdural Hematomas Using 3D Convolutional Neural Networks.

World neurosurgery Dec 24, 2020
OBJECTIVE: Chronic subdural hematomas (cSDHs) are an increasingly prevalent neurologic disease that often requires surgical intervention to alleviate compression of the brain. Management of cSDHs relies heavily on computed tomography (CT) imaging, an...
Imaging, Three-Dimensional Hematoma, Subdural, Chronic Neural Networks, Computer Databases, Factual Humans Aged Tomography, X-Ray Computed Aged, 80 and over Female Male Middle Aged Deep Learning
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Improving ED Emergency Severity Index Acuity Assignment Using Machine Learning and Clinical Natural Language Processing.

Journal of emergency nursing Dec 24, 2020
INTRODUCTION: Triage is critical to mitigating the effect of increased volume by determining patient acuity, need for resources, and establishing acuity-based patient prioritization. The purpose of this retrospective study was to determine whether hi...
Emergency Service, Hospital Patient Acuity Quality Improvement Adult Male Middle Aged Adolescent Child United States Predictive Value of Tests Triage Natural Language Processing Retrospective Studies Electronic Health Records Female Aged Humans Machine Learning
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Use of Machine Learning to Develop a Risk-Stratification Tool for Emergency Department Patients With Acute Heart Failure.

Annals of emergency medicine Dec 24, 2020
STUDY OBJECTIVE: We use variables from a recently derived acute heart failure risk-stratification rule (STRATIFY) as a basis to develop and optimize risk prediction using additional patient clinical data from electronic health records and machine-lea...
Humans Aged Male Machine Learning Risk Assessment Retrospective Studies Emergency Service, Hospital Electronic Health Records Heart Failure Female
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Automated Cerebral Hemorrhage Detection Using RAPID.

AJNR. American journal of neuroradiology Dec 24, 2020
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is an important event that is diagnosed on head NCCT. Increased NCCT utilization in busy hospitals may limit timely identification of ICH. RAPID ICH is an automated hybrid 2D-3D convolutional neur...
Neuroimaging Middle Aged Cerebral Hemorrhage Predictive Value of Tests Image Interpretation, Computer-Assisted Female Aged Adult Male Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed
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Validation of the Al-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator in Patients 65 Years and Older.

Annals of surgery Dec 23, 2020
OBJECTIVE: We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) tool in elderly emergency surgery (ES) patients.
Risk Assessment Postoperative Complications Risk Factors Hospital Mortality Humans Aged Aged, 80 and over Artificial Intelligence Male Databases, Factual Female
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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.
Humans Female Outcome Assessment, Health Care Support Vector Machine Aphasia Aged Individuality Magnetic Resonance Imaging Language Therapy Connectome Adult Chronic Disease Stroke Rehabilitation Male Ischemic Stroke Middle Aged
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