Latest AI and machine learning research in surveys for healthcare professionals.
Generative artificial intelligence has the potential to improve productivity and transform the produ...
A companion study established a de-biased, cross-model VLM-as-3D-judge that reliably ranks single-im...
Multimodal large language models (MLLMs) are increasingly deployed in personally and societally cons...
Large Language Models (LLMs) are transforming clinical practice and research, but their adoption req...
Single-image-to-3D generators are improving quickly, but there is no agreed, human-free way to tell ...
Reject inference methods are widely used to mitigate survival bias in credit scoring, yet their effe...
Background Drug-tolerant persister (DTP) cell states have been implicated in relapse across multiple...
Inverse design of heterogeneous catalysts remains challenging because catalyst surfaces exhibit subs...
Scientific machine-learning (SciML) surrogates approximate expensive simulations, but exact expected...
Five years after the discovery of persistent anti-Muslim bias in large language models, most evaluat...
Multiple Instance Learning (MIL) is a standard paradigm for Whole-Slide Image (WSI) analysis and has...
Emotionally ambiguous facial expressions provide a tractable model for studying how uncertain affect...
Antibodies are powerful therapeutics whose antigen specificity arises from sequence diversity shaped...
Multimodal attributed graphs (MAGs) integrate graph topology with heterogeneous modality attributes,...
Editing pretrained neural networks requires specialized algorithms tailored to specific objectives. ...
Federated Learning (FL) enables collaborative and privacy-preserving model training across distribut...
High-quality, domain-specific datasets are foundational to advancing educational tools and AI system...
Adversarial examples reveal vulnerabilities in Vision-Language Pre-training (VLP) models and provide...
Lipschitz-style individual fairness formalizes the idea that semantically similar examples should re...
Synthetic healthcare data are widely proposed as privacy-preserving substitutes for real patient dat...
In recent years, unified multimodal models (UMMs) have emerged to support both understanding and gen...