State Required CME

Medical Ethics / Professional Responsibility

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

3,643 articles
Stay Ahead - Weekly Medical Ethics / Professional Responsibility research updates
Subscribe
Browse Categories
Showing 652-672 of 3,643 articles
Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation

Semi-supervised learning utilizes insights from unlabeled data to improve model generalization, th...

DiffEGG: Diffusion-Driven Edge Generation as a Pixel-Annotation-Free Alternative for Instance Annotation

Achieving precise panoptic segmentation relies on pixel-wise instance annotations, but obtaining s...

MFC 5.0: An exascale many-physics flow solver

Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fide...

Mitigating Hallucinations in YOLO-based Object Detection Models: A Revisit to Out-of-Distribution Detection

Object detection systems must reliably perceive objects of interest without being overly confident...

Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies

The evaluation and improvement of medical large language models (LLMs) are critical for their real...

Customized SAM 2 for Referring Remote Sensing Image Segmentation

Referring Remote Sensing Image Segmentation (RRSIS) aims to segment target objects in remote sensi...

Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow

High-dynamic scene optical flow is a challenging task, which suffers spatial blur and temporal dis...

phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors

Applying machine learning to increasingly high-dimensional problems with sparse or biased training...

We Care Each Pixel: Calibrating on Medical Segmentation Model

Medical image segmentation is fundamental for computer-aided diagnostics, providing accurate delin...

Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration

Point cloud completion helps restore partial incomplete point clouds suffering occlusions. Current...

Calibration of the mechanical boundary conditions for a patient-specific thoracic aorta model including the heart motion effect

Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary c...

Language-Assisted Feature Transformation for Anomaly Detection

This paper introduces LAFT, a novel feature transformation method designed to incorporate user kno...

Autonomous Dissection in Robotic Cholecystectomy

Robotic surgery offers enhanced precision and adaptability, paving the way for automation in surgi...

Boundary-Emphasized Weight Maps for Distal Airway Segmentation

Automated airway segmentation from lung CT scans is vital for diagnosing and monitoring pulmonary ...

Metadata-driven Table Union Search: Leveraging Semantics for Restricted Access Data Integration

Over the past decade, the Table Union Search (TUS) task has aimed to identify unionable tables wit...

Differentially-private frugal estimation of quantiles

Fast and accurate estimation of quantiles on data streams coming from communication networks, Inte...

CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation

Semi-supervised semantic segmentation (SSSS) aims to improve segmentation performance by utilizing...

Adaptive Mesh Refinement for Variational Inequalities

Variational inequalities play a pivotal role in a wide array of scientific and engineering applica...

MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation

Medical image segmentation plays a crucial role in various clinical applications. A major challeng...

Detecting Cadastral Boundary from Satellite Images Using U-Net model

Finding the cadastral boundaries of farmlands is a crucial concern for land administration. Theref...

Improving action segmentation via explicit similarity measurement

Existing supervised action segmentation methods depend on the quality of frame-wise classification...

Browse Categories