AIMC Topic: Humans

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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.

The spine journal : official journal of the North American Spine Society May 4, 2019
BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of grea...
Epidural Abscess Middle Aged Logistic Models Treatment Failure Spinal Diseases Humans Machine Learning Risk Factors Adult Male Anti-Bacterial Agents Female
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Total abdominal proctocolectomy: what is new with the da Vinci Xi?

Journal of robotic surgery May 4, 2019
Minimally Invasive Surgical Procedures Robotic Surgical Procedures Proctocolectomy, Restorative Colorectal Surgery Humans Robotics
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Plaque, Atherosclerotic Coronary Stenosis Fibrosis Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Vessels Risk Factors Rupture, Spontaneous Aged Male Predictive Value of Tests Middle Aged Humans Risk Assessment Bayes Theorem Tomography, Optical Coherence Neural Networks, Computer Disease Progression Ultrasonography, Interventional Machine Learning Diagnosis, Computer-Assisted Coronary Artery Disease Female
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Adaptive neural network classifier for decoding MEG signals.

NeuroImage May 4, 2019
We introduce two Convolutional Neural Network (CNN) classifiers optimized for inferring brain states from magnetoencephalographic (MEG) measurements. Network design follows a generative model of the electromagnetic (EEG and MEG) brain signals allowin...
Visual Perception Auditory Perception Magnetoencephalography Touch Perception Brain Female Adult Male Brain Mapping Electroencephalography Signal Processing, Computer-Assisted Evoked Potentials Humans Neural Networks, Computer Algorithms
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Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review.

Digestive diseases and sciences May 4, 2019
Risk stratification of patients with gastrointestinal bleeding (GIB) is recommended, but current risk assessment tools have variable performance. Machine learning (ML) has promise to improve risk assessment. We performed a systematic review to evalua...
Patient Selection Gastrointestinal Hemorrhage Hemostatic Techniques Middle Aged Risk Assessment Time Factors Treatment Outcome Risk Factors Clinical Decision-Making Humans Aged Female Male Neural Networks, Computer Machine Learning Decision Support Techniques
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Can machine learning predict resecability of a peritoneal carcinomatosis?

Surgical oncology May 4, 2019
BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures are called 'open & close' (O & C) representing up to 48% of surgery. The objective of this study wa...
Adult Prognosis Follow-Up Studies Humans Female Male Machine Learning Aged Laparoscopy Middle Aged Decision Support Techniques Peritoneal Neoplasms Young Adult ROC Curve Prospective Studies Cytoreduction Surgical Procedures
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Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.

Journal of pharmacological sciences May 4, 2019
Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity, possibly leading to the delay or suspension of the cycle, with the consequent impact on the prognosis of survival. The main goal of this work is to ...
Forecasting Female Aged Colorectal Neoplasms Glucuronates Male Camptothecin Oxaliplatin Neutropenia Middle Aged Topoisomerase I Inhibitors Models, Biological Diarrhea Irinotecan Fluorouracil Leucovorin Antineoplastic Combined Chemotherapy Protocols Leukopenia Humans Machine Learning
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A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading.

IEEE journal of biomedical and health informatics May 3, 2019
Cataract is one of the most serious eye diseases leading to blindness. Early detection and treatment can reduce the rate of blindness in cataract patients. However, the professional knowledge of ophthalmologists is necessary for the clinical cataract...
Humans Neural Networks, Computer Algorithms Deep Learning Cataract Automation
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Toward Automated 3D Spine Reconstruction from Biplanar Radiographs Using CNN for Statistical Spine Model Fitting.

IEEE transactions on medical imaging May 3, 2019
To date, 3D spine reconstruction from biplanar radiographs involves intensive user supervision and semi-automated methods that are time-consuming and not effective in clinical routine. This paper proposes a new, fast, and automated 3D spine reconstru...
Algorithms Adolescent Imaging, Three-Dimensional Principal Component Analysis Radiography Humans Neural Networks, Computer Spine Scoliosis
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A pilot study of autonomous artificial intelligence-based diabetic retinopathy screening in Poland.

Acta ophthalmologica May 3, 2019
Humans Pilot Projects Mass Screening Retina Physical Examination Vision Screening Diabetic Retinopathy Artificial Intelligence Poland Diagnosis, Computer-Assisted
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