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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 3,643 articles
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...

Mar 2023 36898410
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...

Feb 2023 36826129
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...

Jan 2023 36350871
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...

Jan 2023 36756163
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...

Jan 2023 36651634
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 ...

Jan 2023 36772117
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...

Nov 2022 36481759
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...

Nov 2022 36441683
Semi-Supervised Domain Adaptive Structure Learning.

Semi-supervised domain adaptation (SSDA) is quite a challenging problem requiring methods to overcom...

Nov 2022 36350853
Adaptive Neural-Network-Based Fault-Tolerant Control for a Flexible String With Composite Disturbance Observer and Input Constraints.

We propose an adaptive neural-network-based fault-tolerant control scheme for a flexible string cons...

Nov 2022 34232904
Non-Local Temporal Difference Network for Temporal Action Detection.

As an important part of video understanding, temporal action detection (TAD) has wide application sc...

Nov 2022 36366106
Explainable multi-module semantic guided attention based network for medical image segmentation.

Automated segmentation of medical images is crucial for disease diagnosis and treatment planning. Me...

Oct 2022 36335811
OpenFL: the open federated learning library.

Federated learning (FL) is a computational paradigm that enables organizations to collaborate on mac...

Oct 2022 36198326
Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System.

The existence of various sounds from different natural and unnatural sources in the deep sea has cau...

Oct 2022 36304739
Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities.

Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which can lead t...

Oct 2022 36298206
Probabilistic machine learning for breast cancer classification.

A probabilistic neural network has been implemented to predict the malignancy of breast cancer cells...

Oct 2022 36650782
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding.

The scarcity of high-quality annotations in many application scenarios has recently led to an increa...

Oct 2022 36274527
MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection.

Salient Object Detection (SOD) simulates the human visual perception in locating the most attractive...

Oct 2022 36262601
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection.

Despite the widespread use of encryption techniques to provide confidentiality over Internet communi...

Oct 2022 36236739
De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.

Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value t...

Oct 2022 36195240
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