Results 1 to 10 of about 12,729,447 (216)
Nanostructured Metal Oxide-Based Electrochemical Biosensors in Medical Diagnosis [PDF]
BiosensorsNanostructured 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
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Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review. [PDF]
Bioengineering (Basel)Utilizing information from multiple sources is a preferred and more precise method for medical experts to confirm a diagnosis. Each source provides critical information about the disease that might otherwise be absent in other modalities.
Kumar S, Rani S, Sharma S, Min H.
europepmc +2 more sources
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis. [PDF]
Bioengineering (Basel)Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in
Xu X +9 more
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Artificial intelligence in medical diagnosis
Current 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
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CRISPR-Based Biosensors for Medical Diagnosis: Readout from Detector-Dependence Detection Toward Naked Eye Detection [PDF]
BiosensorsThe detection of biomarkers (such as DNA, RNA, and protein) plays a vital role in medical diagnosis. The CRISPR-based biosensors utilize the CRISPR/Cas system for biometric recognition of targets and use biosensor strategy to read out biological signals ...
Kai Hu +6 more
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Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis
Nature 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
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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Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [PDF]
Italian 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
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Sensors, 2022 Injuries to the hamstring muscles are an increasing problem in sports. Imaging plays a key role in diagnosing and managing athletes with muscle injuries, but there are several problems with conventional imaging modalities with respect to cost and ...
Laura Guerrero Orozco +2 more
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A survey on the interpretability of deep learning in medical diagnosis
Multimedia 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
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