Results 1 to 10 of about 9,204,925 (293)

Nanostructured Metal Oxide-Based Electrochemical Biosensors in Medical Diagnosis

open access: yesBiosensors
Nanostructured metal oxides (NMOs) provide electrical properties such as high surface-to-volume ratio, reaction activity, and good adsorption strength. Furthermore, they serve as a conductive substrate for the immobilization of biomolecules, exhibiting ...
Gulsu Keles   +4 more
doaj   +2 more sources

Artificial intelligence in medical diagnosis

open access: yesCurrent Medicine Research and Practice, 2020
The use of artificial intelligence (AI) in medicine made its beginning five decades ago in 1972 when researchers at Stanford University in the USA developed an expert system MYCIN for treating blood infections.
Ronit Jaiswal   +3 more
doaj   +2 more sources

Wrapper-Based Feature Selection for Medical Diagnosis: The BTLBO-KNN Algorithm

open access: yesIEEE 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
doaj   +1 more source

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [PDF]

open access: yesItalian National Conference on Sensors, 2021
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and specifically deep learning methods can be exploited to analyse healthcare data.
David Ahmedt-Aristizabal   +4 more
semanticscholar   +1 more source

Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis

open access: yesNature Communications, 2023
Image reconstruction algorithms raise critical challenges in massive data processing for medical diagnosis. Here, the authors propose a solution to significantly accelerate medical image reconstruction on memristor arrays, showing 79× faster speed and ...
Han Zhao   +11 more
semanticscholar   +1 more source

Assessment of Combined Karyotype Analysis and Chromosome Microarray Analysis in Prenatal Diagnosis: A Cohort Study of 3710 Pregnancies

open access: yesGenetics Research, 2022
Objective. The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further ...
Jin Wang   +9 more
doaj   +1 more source

EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review

open access: yesIEEE 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
semanticscholar   +1 more source

Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study

open access: yesJMIR Medical Education, 2023
Background Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician’s confidence in the medical diagnosis.
Fumitoshi Fukuzawa   +10 more
semanticscholar   +1 more source

Medical Diagnosis and Life Span of Sufferer Using Interval Valued Complex Fuzzy Relations

open access: yesIEEE 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
doaj   +1 more source

A survey on the interpretability of deep learning in medical diagnosis

open access: yesMultimedia Systems, 2022
Deep learning has demonstrated remarkable performance in the medical domain, with accuracy that rivals or even exceeds that of human experts. However, it has a significant problem that these models are “black-box” structures, which means they are opaque,
Qiaoying Teng   +4 more
semanticscholar   +1 more source

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