Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3042273
Abstract: Disease diagnosis is the identification of an health issue, disease, disorder, or other condition that a person may have. Disease diagnoses could be sometimes very easy tasks, while others may be a bit trickier. There… read more here.
Keywords: artificial intelligence; medical diagnostic; systems using; disease ... See more keywords
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/9288452
Abstract: One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is responsible for the supply of blood to each part of the body. Coronary artery disease (CAD)… read more here.
Keywords: disease; machine learning; automated diagnostic; heart ... See more keywords
Examining Physicians’ Explanatory Reasoning in Re-Diagnosis Scenarios for Improving AI Diagnostic Systems
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cognitive Engineering and Decision Making"
DOI: 10.1177/15553434221085114
Abstract: AI systems are increasingly being developed to provide the first point of contact for patients. These systems are typically focused on question-answering and integrating chat systems with diagnostic algorithms, but are likely to suffer from… read more here.
Keywords: diagnosis; explanatory reasoning; physicians explanatory; reasoning diagnosis ... See more keywords
Improving Machine-Learning Diagnostics with Model-Based Data Augmentation Showcased for a Transformer Fault
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14206816
Abstract: Machine-learning diagnostic systems are widely used to detect abnormal conditions in electrical equipment. Training robust and accurate diagnostic systems is challenging because only small databases of abnormal-condition data are available. However, the performance of the… read more here.
Keywords: model based; based data; augmentation; data augmentation ... See more keywords
Application of deep learning-based diagnostic systems in screening asymptomatic COVID-19 patients among oversea returnees.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of infection in developing countries"
DOI: 10.3855/jidc.15022
Abstract: INTRODUCTION Our study aimed to investigate the performance of deep learning (DL)-based diagnostic systems in alerting against COVID-19, especially among asymptomatic individuals coming from overseas, and to analyze the features of identified asymptomatic patients in… read more here.
Keywords: system; covid patients; covid; deep learning ... See more keywords