Medical Ethics / Professional Responsibility

Human respiratory simulation based on 3D modelling - a review.

Accurate simulation of respiratory dynamics is essential for advancing the diagnosis and treatment o...

Artificial intelligence-assisted colonoscopy: excellent results, but will mucosal exposure devices push this boundary?

Multi-module UNet++ for colon cancer histopathological image segmentation.

In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...

An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments.

The fast development of Internet of Things (IoT) tools in smart cities has presented many advantages...

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabl...

Comparison of Generative Artificial Intelligence and Student-Generated Veterinary Handouts.

Generative artificial intelligence (gAI) is becoming increasingly prevalent in our daily lives. Stud...

Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and ...

Federated Learning-Based Model for Predicting Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: The rise of federated learning (FL) as a novel privacy-preserving technology offers the ...

A non-anatomical graph structure for boundary detection in continuous sign language.

Recently, the challenge of the boundary detection of isolated signs in a continuous sign video has b...

Region Uncertainty Estimation for Medical Image Segmentation with Noisy Labels.

The success of deep learning in 3D medical image segmentation hinges on training with a large datase...

Machine learning-assisted finite element modeling of additively manufactured meta-materials.

Mechanical characterization of three-dimensional (3D) printed meta-biomaterials is rapidly becoming ...

Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease.

This paper presents a novel privacy-preserving architecture, a fusion of Federated Learning with Per...

A novel UNet-SegNet and vision transformer architectures for efficient segmentation and classification in medical imaging.

Medical imaging has become an essential tool in the diagnosis and treatment of various diseases, and...

AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols.

Accurate segmentation of brain tumors from multimodal Magnetic Resonance Imaging (MRI) plays a criti...

Asynchronous Boundary Stabilization of Stochastic Markovian Reaction-Diffusion Neural Networks With Mode-Dependent Delays.

This article tackles asynchronous control issue for a class of stochastic Markovian reaction-diffusi...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek heal...

Multi-scale fusion semantic enhancement network for medical image segmentation.

The application of sophisticated computer vision techniques for medical image segmentation (MIS) pla...

Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation.

Medical image encryption is important for maintaining the confidentiality of sensitive medical data ...

Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients.

This study aimed to develop a machine learning model based on Magnetic Resonance Imaging (MRI) radio...

Enhanced abdominal multi-organ segmentation with 3D UNet and UNet +  + deep neural networks utilizing the MONAI framework.

Accurate segmentation of organs in the abdomen is a primary requirement for any medical analysis and...

Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model.

With the rise of explainable artificial intelligence (XAI), counterfactual (CF) explanations have ga...