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Latest AI and machine learning research in surveys for healthcare professionals.

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Showing 2584-2604 of 3,859 articles
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective

Multi-Modal Entity Alignment (MMEA) aims to retrieve equivalent entities from different Multi-Moda...

Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

Generative AI is reshaping art, gaming, and most notably animation. Recent breakthroughs in founda...

AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How

Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the e...

Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data

Accurate myocardial image registration is essential for cardiac strain analysis and disease diagno...

Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees

In industrial settings, surface defects on steel can significantly compromise its service life and...

Evaluating and Mitigating Bias in AI-Based Medical Text Generation

Artificial intelligence (AI) systems, particularly those based on deep learning models, have incre...

(1)
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching

Fairness-aware learning aims to mitigate discrimination against specific protected social groups (...

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms

Recommender systems (RS) have become essential in filtering information and personalizing content ...

Behavior of prediction performance metrics with rare events

Area under the receiving operator characteristic curve (AUC) is commonly reported alongside binary...

Context Aware Grounded Teacher for Source Free Object Detection

We focus on the Source Free Object Detection (SFOD) problem, when source data is unavailable durin...

(3)
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving

A recommender system (RS) aims to provide users with personalized item recommendations, enhancing ...

(3)
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey

As machine learning evolves, domain generalization (DG) and domain adaptation (DA) have become cru...

Uncovering an Attractiveness Bias in Multimodal Large Language Models: A Case Study with LLaVA

Physical attractiveness matters. It has been shown to influence human perception and decision-maki...

(1)
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?

Multi-modal large language models (MLLMs) have made significant progress, yet their safety alignme...

Explainable Artificial Intelligence techniques for interpretation of food datasets: a review

Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-ch...

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Graph-Based Prediction Models for Data Debiasing

Bias in data collection, arising from both under-reporting and over-reporting, poses significant c...

(2)
Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict

Vision-language models (VLMs) have demonstrated impressive performance by effectively integrating ...

Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare

Generative agents have been increasingly used to simulate human behaviour in silico, driven by lar...

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UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation

In medical imaging, the primary challenge is collecting large-scale labeled data due to privacy co...

(1)
Challenges of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...

(2)
Apr 2025 40200436
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