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State-Required-CME Subcategories: Bioterrorism Care of terminally ill / Palliative care Cultural Competence Domestic Violence Identifying and Reporting Child abuse Identifying and Reporting Dependent Adult abuse Infection control / Modes of transmission Medical Ethics / Professional Responsibility Patient safety / Risk Management Prevention of medical errors Sexual Assault Universal precautions

Showing 1492-1512 of 2,998 articles

The Missing Point in Vision Transformers for Universal Image Segmentation

Image segmentation remains a challenging task in computer vision, demanding robust mask generation...

May 2025 http://arxiv.org/abs/2505.19795v1

Machine Learning of Molecular Dynamics Simulations Provides Insights into the Modulation of Viral Capsid Assembly.

An effective approach in the development of novel antivirals is to target the assembly of viral caps...

May 2025 40338128

ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts

Reasoning Video Object Segmentation is a challenging task, which generates a mask sequence from an...

May 2025 http://arxiv.org/abs/2505.18561v1

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

Open-set image segmentation poses a significant challenge because existing methods often demand ex...

May 2025 http://arxiv.org/abs/2505.17994v1

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data

Despite the advances in Referring Expression Segmentation (RES) benchmarks, their evaluation proto...

May 2025 http://arxiv.org/abs/2505.17695v1

Instruct2See: Learning to Remove Any Obstructions Across Distributions

Images are often obstructed by various obstacles due to capture limitations, hindering the observa...

May 2025 http://arxiv.org/abs/2505.17649v1

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective.

BACKGROUND: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplac...

May 2025 40409750

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

Recent advancements in multimodal large language models (MLLMs) have significantly improved perfor...

May 2025 http://arxiv.org/abs/2505.16652v1

Explainable embeddings with Distance Explainer

While eXplainable AI (XAI) has advanced significantly, few methods address interpretability in emb...

May 2025 http://arxiv.org/abs/2505.15516v1

Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

BACKGROUND: Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HI...

May 2025 40389908

Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.

In the medical domain, the challenges in sample acquisition and collection often result in imbalance...

May 2025 40387978

Signal-based AI-driven software solution for automated quantification of metastatic bone disease and treatment response assessment using Whole-Body Diffusion-Weighted MRI (WB-DWI) biomarkers in Advanced Prostate Cancer

We developed an AI-driven software solution to quantify metastatic bone disease from WB-DWI scans....

May 2025 http://arxiv.org/abs/2505.09011v1

State Required CME

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The Missing Point in Vision Transformers for Universal Image Segmentation

Machine Learning of Molecular Dynamics Simulations Provides Insights into the Modulation of Viral Capsid Assembly.

ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data

Instruct2See: Learning to Remove Any Obstructions Across Distributions

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

Explainable embeddings with Distance Explainer

Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.

AoP-SAM: Automation of Prompts for Efficient Segmentation

Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation

Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.

Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning.

Evaluating machine learning algorithms for predicting HIV status among young Thai men who have sex with men.

Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models

Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm.

"What Did You Say, ChatGPT?" The Use of AI in Black Women's HIV Self-Education: An Inductive Qualitative Data Analysis.

Signal-based AI-driven software solution for automated quantification of metastatic bone disease and treatment response assessment using Whole-Body Diffusion-Weighted MRI (WB-DWI) biomarkers in Advanced Prostate Cancer

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