State Required CME

Medical Ethics / Professional Responsibility

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

3,901 articles
Stay Ahead - Weekly Medical Ethics / Professional Responsibility research updates
Subscribe
Browse Specialties
Showing 358-378 of 3,901 articles
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx)...

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection.

This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In t...

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

Robust and fast solutions for anatomical object detection and segmentation support the entire clinic...

Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.

Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, t...

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.

Identification and detection of dendritic spines in neuron images are of high interest in diagnosis ...

Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.

Following the unconventional gas revolution, the forecasting of natural gas prices has become increa...

A novel fuzzy logic-based image steganography method to ensure medical data security.

This study aims to secure medical data by combining them into one file format using steganographic m...

Superficial Zone Extracellular Matrix Extracts Enhance Boundary Lubrication of Self-Assembled Articular Cartilage.

OBJECTIVE: Previous work has shown that increasing the production of boundary lubricant, superficial...

Hedge Scope Detection in Biomedical Texts: An Effective Dependency-Based Method.

Hedge detection is used to distinguish uncertain information from facts, which is of essential impor...

Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.

Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed t...

Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty.

Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid...

Investigating the use of support vector machine classification on structural brain images of preterm-born teenagers as a biological marker.

Preterm birth has been shown to induce an altered developmental trajectory of brain structure and fu...

Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Shape based active contours have emerged as a natural solution to overlap resolution. However, most ...

Diagnostic Performance of ChatGPT-4.0 in Histopathological Analysis of Gliomas: A Single Institution Experience.

This study aimed to evaluate the performance of ChatGPT-4.0 as a diagnostic support tool for patholo...

Empirical mode decomposition in clinical signal analysis: A systematic review.

This systematic review examines the transformative applications of empirical mode decomposition (EMD...

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...

Constraint Boundary Wandering Framework: Enhancing Constrained Optimization With Deep Neural Networks.

Constrained optimization problems are pervasive in various fields, and while conventional techniques...

Rethinking boundary detection in deep learning-based medical image segmentation.

Medical image segmentation is a pivotal task within the realms of medical image analysis and compute...

Learning Boundary Continuity-Aware Gaussian Encoder for Oriented Object Detection.

Oriented object detection has been crucial for rotation-sensitive tasks and has garnered significant...

Human visual perception-inspired medical image segmentation network with multi-feature compression.

Medical image segmentation is crucial for computer-aided diagnosis and treatment planning, directly ...

Browse Specialties