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[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
Factors affecting the incidence of postoperative periprosthetic fractures following primary and revision hip arthroplasty: a systematic review and meta-analysis
Objectives The increasing number of hip arthroplasties (HA), due to the growing elderly
population, is associated with the risk of femoral periprosthetic fractures (FPFs). The purpose …
population, is associated with the risk of femoral periprosthetic fractures (FPFs). The purpose …
Vision transformer model for predicting the severity of diabetic retinopathy in fundus photography-based retina images
Diabetic Retinopathy (DR) is a result of prolonged diabetes with poor blood sugar
management. It causes vision problems and blindness due to the deformation of the human …
management. It causes vision problems and blindness due to the deformation of the human …
Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology
X Zhang, B Mao, Y Che, J Kang, M Luo, A Qiao… - Computers in Biology …, 2023 - Elsevier
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …
A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data
The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent
consequence on mental health because of less interaction among people, economic …
consequence on mental health because of less interaction among people, economic …
COVID-19: How the quarantine could lead to the depreobesity
In this paper, we will introduce coronavirus (COVID-19) and how it spreads around the
globe. We will also present the term of quarantine and associated with it requirement of …
globe. We will also present the term of quarantine and associated with it requirement of …
P-resunet: Segmentation of brain tissue with purified residual unet
Abstract Brain tissue of Magnetic Resonance Imaging is precisely segmented and
quantified, which aids in the diagnosis of neurological diseases such as epilepsy …
quantified, which aids in the diagnosis of neurological diseases such as epilepsy …
Data augmentation based on generative adversarial networks for endoscopic image classification
The incidence of cancer among modern people has recently increased due to various
reasons such as eating habits, smoking, and drinking. Therefore, medical image analysis for …
reasons such as eating habits, smoking, and drinking. Therefore, medical image analysis for …
Two-and-a-half order score-based model for solving 3D ill-posed inverse problems
Abstract Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucial
technologies in the field of medical imaging. Score-based models demonstrated …
technologies in the field of medical imaging. Score-based models demonstrated …