AIMC Topic: Aged

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Development of automatic measurement for patellar height based on deep learning and knee radiographs.

European radiology Apr 23, 2020
OBJECTIVES: To develop and evaluate the performance of a deep learning-based system for automatic patellar height measurements using knee radiographs.
Humans Algorithms Female Middle Aged Deep Learning Radiography Knee Joint Osteoarthritis, Knee Patella Aged Aged, 80 and over Young Adult Adult Male
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Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Apr 23, 2020
BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing progression and preventing associated mortality; however, there are no tools for this purpose. We developed and validated an artificial intelligence (A...
Retrospective Studies Female Aged Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence Algorithms ROC Curve Electrocardiography Follow-Up Studies Early Diagnosis Hypertension, Pulmonary
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Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data.

International journal of medical informatics Apr 23, 2020
BACKGROUND: Emergency department (ED) overcrowding has been a serious issue and demands effective clinical decision-making of patient disposition. In previous studies, emergency clinical narratives provide a rich context for clinical decisions. We ai...
Humans Neural Networks, Computer Physicians Narration Natural Language Processing Emergency Service, Hospital Adult Patient Discharge Retrospective Studies Male Clinical Decision-Making Middle Aged Female Cohort Studies Hospitalization Taiwan Aged
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A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.

Medical & biological engineering & computing Apr 23, 2020
The objective of this study was to design and develop a predictive model for 30-day risk of hospital readmission using machine learning techniques. The proposed predictive model was then validated with the two most commonly used risk of readmission m...
Patient Discharge Patient Readmission Male Middle Aged Adolescent Humans Models, Theoretical New Zealand Machine Learning Databases, Factual Female Aged Young Adult Adult
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

The Lancet. Digital health Apr 23, 2020
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings ...
Physical Examination Mass Screening Retina Adult Humans Telemedicine Decision Trees Sensitivity and Specificity Cost-Benefit Analysis Ophthalmology Diabetic Retinopathy Middle Aged Diagnostic Techniques, Ophthalmological Singapore Artificial Intelligence Image Processing, Computer-Assisted Health Care Costs Models, Biological Machine Learning Diabetes Mellitus Photography Aged
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Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Neuroradiology Apr 22, 2020
PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix softwa...
Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Thrombectomy Computed Tomography Angiography Cerebral Angiography Diffusion Magnetic Resonance Imaging Prospective Studies Female Aged Sensitivity and Specificity Humans Male Machine Learning Software
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From a deep learning model back to the brain-Identifying regional predictors and their relation to aging.

Human brain mapping Apr 22, 2020
We present a Deep Learning framework for the prediction of chronological age from structural magnetic resonance imaging scans. Previous findings associate increased brain age with neurodegenerative diseases and higher mortality rates. However, the im...
Humans Brain Female Aged Aged, 80 and over Young Adult Adult Male Aging Middle Aged Magnetic Resonance Imaging Deep Learning Datasets as Topic Adolescent Neuroimaging Child, Preschool Child Age Factors
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Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.

Forensic science international. Genetics Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
Blood Stains Pilot Projects MicroRNAs Ethnicity High-Throughput Nucleotide Sequencing Polymerase Chain Reaction Adult Male Aging Humans Middle Aged Machine Learning Gene Expression Profiling Algorithms Female Aged Young Adult
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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

AJR. American journal of roentgenology Apr 22, 2020
The objective of this study was to assess the impact of artificial intelligence (AI)-based decision support (DS) on breast ultrasound (US) lesion assessment. A multicenter retrospective review of 900 breast lesions (470/900 [52.2%] benign; 430/900 ...
Decision Support Techniques Biopsy Retrospective Studies Ultrasonography, Mammary Female Humans Aged Artificial Intelligence Aged, 80 and over Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Adolescent
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Robot-assisted treatment of unstable pelvic fractures with a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX fixation.

International orthopaedics Apr 21, 2020
OBJECTIVE: To investigate the clinical effect of robot-assisted treatment of unstable pelvic fractures through a percutaneous iliac lumbar double rod fixation combined with a percutaneous pelvic anterior ring INFIX (internal fixator) fixation.
Treatment Outcome Pelvic Bones Fractures, Bone Fracture Fixation, Internal Operative Time Young Adult Adult Male Middle Aged China Lumbosacral Region Orthopedics Internal Fixators Robotics Radiography Robotic Surgical Procedures Pelvis Bone Screws Humans Prospective Studies Retrospective Studies Female Aged
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