AIMC Topic: Disease Management

Clear Filters Showing 31 to 40 of 99 articles

A Systematic Review of Artificial Intelligence Applications Used for Inherited Retinal Disease Management.

Medicina (Kaunas, Lithuania) Mar 31, 2022
Nowadays, Artificial Intelligence (AI) and its subfields, Machine Learning (ML) and Deep Learning (DL), are used for a variety of medical applications. It can help clinicians track the patient's illness cycle, assist with diagnosis, and offer appropr...
Humans Artificial Intelligence Machine Learning Disease Management Retinal Diseases
View on PubMed DOI

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Current medical science Dec 24, 2021
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" ...
Chronic Disease Disease Management Inventions Blockchain Humans Artificial Intelligence Delivery of Health Care Wearable Electronic Devices
View on PubMed DOI

Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department.

Scientific reports Dec 15, 2021
Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-triage errors are still widespread in triage systems around the world. Here, we present a machine learning system (MLS) to assist ED triage officers bette...
Middle Aged Algorithms ROC Curve Humans Critical Illness Triage Female Critical Care Clinical Decision-Making Machine Learning Aged Disease Management Adult Odds Ratio Male Disease Susceptibility Area Under Curve Emergency Service, Hospital
View on PubMed DOI

Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.

Scientific reports Sep 15, 2021
Decision making on the treatment of vestibular schwannoma (VS) is mainly based on the symptoms, tumor size, patient's preference, and experience of the medical team. Here we provide objective tools to support the decision process by answering two que...
Neuroma, Acoustic Disease Management Hearing Symptom Assessment Hearing Tests Female Reproducibility of Results Aged Adult ROC Curve Decision Trees Supervised Machine Learning Male Middle Aged Humans Machine Learning Clinical Decision-Making
View on PubMed DOI

Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data.

Scientific reports Sep 15, 2021
Our aim was to investigate the usefulness of machine learning approaches on linked administrative health data at the population level in predicting older patients' one-year risk of acute coronary syndrome and death following the use of non-steroidal ...
Proportional Hazards Models Disease Susceptibility Area Under Curve Cause of Death Disease Management Acute Coronary Syndrome Female Risk Factors Male Risk Assessment Models, Theoretical Australia Anti-Inflammatory Agents, Non-Steroidal Comorbidity ROC Curve Humans Machine Learning Prognosis
View on PubMed DOI

Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports Sep 10, 2021
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Humans Machine Learning Biomechanical Phenomena ROC Curve Aortic Aneurysm, Abdominal Area Under Curve Disease Management Algorithms Prognosis Tomography, X-Ray Computed Clinical Decision-Making Aorta, Abdominal Computed Tomography Angiography Models, Cardiovascular Aortic Rupture
View on PubMed DOI

Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

BMC cancer Aug 6, 2021
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients.
Deep Learning ROC Curve Image Processing, Computer-Assisted Treatment Outcome Neoplasm Staging Humans Workflow Prognosis Combined Modality Therapy Squamous Cell Carcinoma of Head and Neck Positron Emission Tomography Computed Tomography Adult Biomarkers, Tumor Oropharyngeal Neoplasms Male Middle Aged Clinical Decision-Making Positron-Emission Tomography Female Disease Management Aged Fluorodeoxyglucose F18 Aged, 80 and over Kaplan-Meier Estimate
View on PubMed DOI

Clinically applicable artificial intelligence system for dental diagnosis with CBCT.

Scientific reports Jul 22, 2021
In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinica...
Humans Disease Management Artificial Intelligence Stomatognathic Diseases Observer Variation Sensitivity and Specificity Cone-Beam Computed Tomography Image Processing, Computer-Assisted
View on PubMed DOI

Prediction of venous thromboembolism with machine learning techniques in young-middle-aged inpatients.

Scientific reports Jun 18, 2021
Accumulating studies appear to suggest that the risk factors for venous thromboembolism (VTE) among young-middle-aged inpatients are different from those among elderly people. Therefore, the current prediction models for VTE are not applicable to you...
Adolescent Young Adult Support Vector Machine Adult Humans Inpatients Machine Learning Disease Susceptibility Male Area Under Curve Prognosis Middle Aged Female Venous Thromboembolism Disease Management
View on PubMed DOI

Plasma Robot Engineering: The Next Generation of Precision Disease Management.

Annals of biomedical engineering Jun 3, 2021
Robotics, once combined with cold atmospheric plasma, represent key elements of the next generation of personalized medicine and contribute to the effective yet immediate response to pandemics. Plasma robots can serve as CAP delivery vehicle to assis...
Disease Management Plasma Gases Biomedical Engineering COVID-19 Precision Medicine SARS-CoV-2 Robotics Humans Pandemics
View on PubMed DOI
Popular Topics
Recent Journals