AIMC Topic: Early Diagnosis

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Early diagnosis of Alzheimer's disease and mild cognitive impairment based on electroencephalography: From the perspective of event related potentials and deep learning.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Oct 27, 2022
Alzheimer's disease (AD), a neurodegenerative disorder characterized by progressive cognitive decline, is generally prevalent in elderly people with significant disability and mortality. There is no effective treatment for AD currently, but the early...
Humans Cognitive Dysfunction Electroencephalography Alzheimer Disease Aged Deep Learning Early Diagnosis Evoked Potentials
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Integrative Serum Metabolic Fingerprints Based Multi-Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 18, 2022
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocarcinoma (LUAD), especially for the accurate classification of pulmonary nodule. Here, a multiplexed assay is developed on an optimized nanoparticle-bas...
Biomarkers, Tumor United States Humans Early Diagnosis Adenocarcinoma of Lung Artificial Intelligence United States Government Agencies
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Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs.

Scientific reports Oct 17, 2022
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer's disease demen...
Disease Progression Alzheimer Disease Cognitive Dysfunction Deep Learning Early Diagnosis Humans Magnetic Resonance Imaging Neuroimaging Biomarkers
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Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods.

Computational intelligence and neuroscience Sep 29, 2022
Diabetes is a chronic disease that can cause several forms of chronic damage to the human body, including heart problems, kidney failure, depression, eye damage, and nerve damage. There are several risk factors involved in causing this disease, with ...
Risk Factors Diabetes Mellitus Algorithms Humans Reproducibility of Results Early Diagnosis Machine Learning
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A radiomics feature-based machine learning models to detect brainstem infarction (RMEBI) may enable early diagnosis in non-contrast enhanced CT.

European radiology Sep 28, 2022
OBJECTIVES: Magnetic resonance imaging has high sensitivity in detecting early brainstem infarction (EBI). However, MRI is not practical for all patients who present with possible stroke and would lead to delayed treatment. The detection rate of EBI ...
Brain Stem Infarctions Tomography, X-Ray Computed Early Diagnosis Humans Machine Learning Retrospective Studies
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Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications.

Computational intelligence and neuroscience Sep 28, 2022
In the modern world, Tuberculosis (TB) is regarded as a serious health issue with a high rate of mortality. TB can be cured completely by early diagnosis. For achieving this, one tool utilized is CXR (Chest X-rays) which is used to screen active TB. ...
Humans Tuberculosis Delivery of Health Care Algorithms Deep Learning Early Diagnosis
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Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices.

Computational intelligence and neuroscience Sep 14, 2022
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and cl...
Blindness Diabetes Mellitus Early Diagnosis Diabetic Retinopathy Humans Algorithms Deep Learning Artificial Intelligence Machine Learning
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A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing techniques.

Computer methods and programs in biomedicine Sep 12, 2022
BACKGROUND AND OBJECTIVE: COVID-19 outbreak has become one of the most challenging problems for human being. It is a communicable disease caused by a new coronavirus strain, which infected over 375 million people already and caused almost 6 million d...
X-Rays Cough COVID-19 Early Diagnosis SARS-CoV-2 Deep Learning Humans Speech
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Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.

Nature medicine Jul 21, 2022
Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments at early time points, which is critical for improving sepsis outcomes. In view of the increasing use of such s...
Humans Retrospective Studies Sepsis Machine Learning Early Diagnosis
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Application of Video-Based Deep Learning for Early Diagnosis of Neurological Disorders.

JAMA network open Jul 1, 2022
Early Diagnosis Neural Networks, Computer Nervous System Diseases Humans Deep Learning
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