AIMC Topic: Early Diagnosis

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A novel CNN based Alzheimer's disease classification using hybrid enhanced ICA segmented gray matter of MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 28, 2020
Predicting Alzheimer's Disease (AD) from Mild Cognitive Impairment (MCI) and Cognitive Normal (CN) has become wide. Recent advancement in neuroimaging in adoption with machine learning techniques are especially useful for pattern recognition of medic...
Humans Image Interpretation, Computer-Assisted Early Diagnosis Neuroimaging Gray Matter Neural Networks, Computer Diagnosis, Computer-Assisted Alzheimer Disease
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DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs.

PloS one Feb 10, 2020
UNLABELLED: Diabetic Macular Edema (DME) is an advanced stage of Diabetic Retinopathy (DR) and can lead to permanent vision loss. Currently, it affects 26.7 million people globally and on account of such a huge number of DME cases and the limited num...
Humans Diabetic Retinopathy Neural Networks, Computer Algorithms Macular Edema Datasets as Topic Early Diagnosis Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning
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Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.

The lancet. Gastroenterology & hepatology Jan 22, 2020
BACKGROUND: Colonoscopy with computer-aided detection (CADe) has been shown in non-blinded trials to improve detection of colon polyps and adenomas by providing visual alarms during the procedure. We aimed to assess the effectiveness of a CADe system...
Observer Variation Early Diagnosis Clinical Alarms Adenoma Double-Blind Method Colonic Polyps Colonoscopy Case-Control Studies Diagnosis, Computer-Assisted Deep Learning China Incidence Mass Screening Humans Adult Female Colorectal Neoplasms Male Middle Aged
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Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.

Medical image analysis Jan 17, 2020
Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is important to maximize the chances to delay or prevent progression to AD. Brain connectivity networks inferred from medical imaging data have been commonl...
Early Diagnosis Neuroimaging Calibration Humans Machine Learning Alzheimer Disease
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Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Medical image analysis Jan 8, 2020
Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people. Early detection and management of these diseases are crucial as the clinical symptoms take years to appear after the onset of neuro-degeneration. Th...
Neuroimaging Humans Machine Learning Alzheimer Disease Parkinson Disease Image Interpretation, Computer-Assisted Neurodegenerative Diseases Datasets as Topic Early Diagnosis
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A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

NeuroImage. Clinical Dec 2, 2019
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanometer are widely used to diagnose hypertension, they could not predict the disease before its onset. Clinical studies suggest that alterations in the s...
Humans Magnetic Resonance Angiography Neural Networks, Computer Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Hypertension Early Diagnosis Cerebrovascular Disorders Pattern Recognition, Automated
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Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.

Computer methods and programs in biomedicine Nov 11, 2019
BACKGROUND AND OBJECTIVE: Nowadays computer-aided disease diagnosis from medical data through deep learning methods has become a wide area of research. Existing works of analyzing clinical text data in the medical domain, which substantiate useful in...
Early Diagnosis Semantics Diagnosis, Computer-Assisted Deep Learning China Cerebral Infarction Neural Networks, Computer Algorithms
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Skin cancer diagnosis based on optimized convolutional neural network.

Artificial intelligence in medicine Nov 8, 2019
Early detection of skin cancer is very important and can prevent some skin cancers, such as focal cell carcinoma and melanoma. Although there are several reasons that have bad impacts on the detection precision. Recently, the utilization of image pro...
Whales Humans Neural Networks, Computer Skin Neoplasms Animals Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Carcinoma Early Diagnosis Predatory Behavior Algorithms Databases, Factual Computer Simulation Melanoma
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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Aged, 80 and over Young Adult Adult Male Middle Aged Area Under Curve Case-Control Studies Diagnosis, Computer-Assisted Models, Biological Algorithms Early Diagnosis Vital Signs Intensive Care Units Analysis of Variance Sepsis Humans Female Adolescent Machine Learning Aged Support Vector Machine Software
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LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock.

Scientific reports Oct 22, 2019
Sepsis is a major health concern with global estimates of 31.5 million cases per year. Case fatality rates are still unacceptably high, and early detection and treatment is vital since it significantly reduces mortality rates for this condition. Appr...
Algorithms Early Diagnosis ROC Curve Shock, Septic Area Under Curve Humans Machine Learning
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