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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 148-168 of 3,901 articles
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis.

Segmenting breast tumors from dynamic contrast-enhanced magnetic resonance (DCE-MR) images is a crit...

Learning from small data: Classifying sex from retinal images via deep learning.

Deep learning (DL) techniques have seen tremendous interest in medical imaging, particularly in the ...

How Should Surgeons Consider Emerging Innovations in Artificial Intelligence and Robotics?

Artificial intelligence (AI)-assisted robotic surgery seems to offer promise for improving patients'...

Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection.

Though deep learning-based saliency detection methods have achieved gratifying performance recently,...

Two-Stream Network One-Class Classification Model for Defect Inspections.

Defect inspection is important to ensure consistent quality and efficiency in industrial manufacturi...

The clinical application of neuro-robot in the resection of epileptic foci: a novel method assisting epilepsy surgery.

During surgery for foci-related epilepsy, neurosurgeons face significant difficulties in identifying...

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Background samples provide key contextual information for segmenting regions of interest (ROIs). How...

Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?

Academic integrity in both higher education and scientific writing has been challenged by developmen...

Dual-feature Fusion Attention Network for Small Object Segmentation.

Accurate segmentation of medical images is an important step during radiotherapy planning and clinic...

A discontinuity-preserving regularization for deep learning-based cardiac image registration.

. Sliding motion may occur between organs in anatomical regions due to respiratory motion and heart ...

Improving Biomedical Question Answering by Data Augmentation and Model Weighting.

Biomedical Question Answering aims to extract an answer to the given question from a biomedical cont...

Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis.

Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...

A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

BACKGROUND: The 21st Century Cures Act mandates the immediate, electronic release of health informat...

The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making.

Clinical applications of artificial intelligence (AI) in healthcare, including in the field of oncol...

A Deep-Learning Based Real-Time Prediction of Seated Postural Limits and Its Application in Trunk Rehabilitation.

Seated postural limit defines the boundary of a region such that for any excursions made outside thi...

An Overview of Deep Learning Methods for Left Ventricle Segmentation.

Cardiac health diseases are one of the key causes of death around the globe. The number of heart pat...

NVTrans-UNet: Neighborhood vision transformer based U-Net for multi-modal cardiac MR image segmentation.

With the rapid development of artificial intelligence and image processing technology, medical imagi...

Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network.

Tissue differentiation varies based on patients' conditions, such as occlusal force and bone propert...

Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People.

Current artificial intelligence systems for determining a person's emotions rely heavily on lip and ...

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.

Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique...

A stochastic numerical approach for a class of singular singularly perturbed system.

In the present study, a neuro-evolutionary scheme is presented for solving a class of singular singu...

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