EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review
IEEE Access, 2023 EEG is a common and safe test that uses small electrodes to record electrical signals from the brain. It has a broad range of applications in medical diagnosis, including diagnosis of epileptic seizure, Alzheimer’s, brain tumors, head injury, sleep ...
N. S. Amer, S. Belhaouari
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Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis [PDF]
AAAI Conference on Artificial Intelligence, 2021 Recent advances in unsupervised domain adaptation (UDA) show that transferable prototypical learning presents a powerful means for class conditional alignment, which encourages the closeness of cross-domain class centroids.
Xiaofeng Liu +9 more
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Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait
Sensors, 2022 Inpatient gait analysis is an essential part of rehabilitation for foot amputees and includes the ground contact time (GCT) difference of both legs as an essential component. Doctors communicate improvement advice to patients regarding their gait pattern
Severin Bernhart +3 more
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Dynamically switchable magnetic resonance imaging contrast agents
Exploration, 2021 Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang +5 more
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Intelligent medical assistant diagnosis method based on data fusion
工程科学学报, 2021 In the field of medicine, in order to diagnose a patient’s condition more efficiently and conveniently, image classification has been widely leveraged.
Tao-hong ZHANG +3 more
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Micro/Nanorobots for Medical Diagnosis and Disease Treatment
Micromachines, 2022 Micro/nanorobots are functional devices in microns, at nanoscale, which enable efficient propulsion through chemical reactions or external physical field, including ultrasonic, optical, magnetic, and other external fields, as well as microorganisms ...
Yinglei Zhang +3 more
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Wrapper-Based Feature Selection for Medical Diagnosis: The BTLBO-KNN Algorithm
IEEE Access, 2023 Medical diagnosis research has recently focused on feature selection techniques due to the availability of multiple variables in medical datasets. Wrapper-based feature selection approaches have shown promise in providing faster and more cost-effective ...
Fateh Seghir +3 more
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The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
Frontiers in Artificial Intelligence, 2020 Increasing quality and performance of artificial intelligence (AI) in general and machine learning (ML) in particular is followed by a wider use of these approaches in everyday life.
Sebastian Bruckert +2 more
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Medical Diagnosis and Life Span of Sufferer Using Interval Valued Complex Fuzzy Relations
IEEE Access, 2021 Fuzzy set theory resolved the crux of modeling uncertainty, vagueness, and imprecision. Many researchers have contributed to the development of the theory. This paper intends to define the innovative concept of the interval valued complex fuzzy relations
Abdul Nasir +3 more
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Improving the accuracy of medical diagnosis with causal machine learning
Nature Communications, 2020 Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient’s symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis are
Jonathan G. Richens +2 more
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