Results 1 to 10 of about 44,416 (264)
Computer-aided therapeutic diagnosis for anorexia [PDF]
Background Anorexia nervosa is a clinical disorder syndrome of the wide spectrum without a fully recognized etiology. The necessary issue in the clinical diagnostic process is to detect the causes of this disease (e.g., my body image, food, family, peers)
Dominik Spinczyk +5 more
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Safety design guidelines for clinician–AI interaction in computer-aided diagnosis systems using system-theoretic framework with explainability validation [PDF]
Ensuring the safety of Artificial Intelligence-enabled Computer-Aided Diagnosis systems is critical because diagnostic errors can have serious consequences for patient care.
Yuki Hagiwara +2 more
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Advanced disk herniation computer aided diagnosis system [PDF]
Over recent years, researchers and practitioners have encountered massive and continuous improvements in the computational resources available for their use.
Maad Ebrahim +2 more
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Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis [PDF]
Rapid advancements in artificial intelligence (AI) and machine learning (ML) are currently transforming the field of diagnostics, enabling unprecedented accuracy and efficiency in disease detection, classification, and treatment planning.
Mugahed A. Al-antari
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Special Issue “Computer Aided Diagnosis Sensors”
Sensors used to diagnose, monitor or treat diseases in the medical domain are known as medical sensors [...]
Ayman El-Baz +4 more
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BackgroundThe early recognition of malnutrition is essential for improving the prognosis of patients with Crohn's disease (CD). The Global Leadership Initiative on Malnutrition (GLIM) criteria represent a new consensus for the diagnosis of malnutrition ...
Yong Li +10 more
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BACKGROUND: Computer-aided diagnosis in low-dose (≤ 3 mSv) computed tomography (CT) is a potential screening tool for lung nodules, with quality interpretation and less inter-observer variability among readers.
Dong Wang, Lina Cao, Boya Li
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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study
Background: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is not
Melek Yakar MD +4 more
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Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks
A large percentage of the world's population is affected by gastric diseases ranging from erosion and ulcer to serious ailments such as gastric cancer, which is mainly caused by Helicobacter pylori(H.pylori) infection.
Chenxi Zhang +6 more
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Impact of Artificial Intelligence on Colorectal Polyp Detection and Characterization
Colorectal cancer (CRC) is the third most common cancer in the world. Colonoscopy has contributed significantly to reduction of incidence and mortality of CRC.
Shivaraj Afzalpurkar +2 more
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