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Medical Ethics / Professional Responsibility

Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.

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Showing 253-273 of 3,901 articles
Joint optic disc and optic cup segmentation based on boundary prior and adversarial learning.

PURPOSE: The most direct means of glaucoma screening is to use cup-to-disc ratio via colour fundus p...

Exploiting Global Structure Information to Improve Medical Image Segmentation.

In this paper, we propose a method to enhance the performance of segmentation models for medical ima...

Automated evaluation of tumor spheroid behavior in 3D culture using deep learning-based recognition.

Three-dimensional in vitro tumor models provide more physiologically relevant responses to drugs tha...

Loss odyssey in medical image segmentation.

The loss function is an important component in deep learning-based segmentation methods. Over the pa...

A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring.

One of the main requirements of tumor extraction is the annotation and segmentation of tumor boundar...

Fast convergence rates of deep neural networks for classification.

We derive the fast convergence rates of a deep neural network (DNN) classifier with the rectified li...

Global guidance network for breast lesion segmentation in ultrasound images.

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of ...

Harnessing Machine Intelligence in Automatic Echocardiogram Analysis: Current Status, Limitations, and Future Directions.

Echocardiography (echo) is a critical tool in diagnosing various cardiovascular diseases. Despite it...

Kinematics and workspace analysis of 4SPRR-SPR parallel robots.

The 4SPRR-SPR parallel robot, which has considerable potential for application in the field of machi...

Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems.

The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules....

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...

A deep neural network for estimating the bladder boundary using electrical impedance tomography.

OBJECTIVE: Accurate bladder size estimation is an important clinical parameter that assists physicia...

A plea to merge clinical and public health practices: reasons and consequences.

BACKGROUND: Revisiting professionalism, both as a medical ideal and educational topic, this paper as...

Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning.

The choroid provides oxygen and nourishment to the outer retina thus is related to the pathology of ...

Generative models in pathology: synthesis of diagnostic quality pathology images.

Within artificial intelligence and machine learning, a generative model is a powerful tool for learn...

A Single-Shot Region-Adaptive Network for Myotendinous Junction Segmentation in Muscular Ultrasound Images.

Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for understandi...

Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography.

Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical c...

Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy.

Knee arthroscopy is a complex minimally invasive surgery that can cause unintended injuries to femor...

Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining.

BACKGROUND: Clinical named entity recognition is the basic task of mining electronic medical records...

A Secured and Intelligent Communication Scheme for IIoT-enabled Pervasive Edge Computing.

Industrial Internet of Things (IIoT) ensures reliable and efficient data exchanges among the industr...

CS-Net: Deep learning segmentation of curvilinear structures in medical imaging.

Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and...

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