Latest AI and machine learning research in surveys for healthcare professionals.
Background: Large language models (LLMs) have been evaluated as tools to assist rare disease diagnos...
Federated Learning (FL) is a paradigm for training machine learning (ML) models in collaborative set...
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems th...
Recent advances in multimodal large language models enable new possibilities for image-based decisio...
Foundation models (FMs) for brain magnetic resonance imaging (MRI) are increasingly adopted as pretr...
Recent research has shown that text-to-image diffusion models are capable of generating high-quality...
RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of quest...
Consistency under paraphrase, the property that semantically equivalent prompts yield identical pred...
Collecting and annotating datasets for pixel-level semantic segmentation tasks are highly labor-inte...
When working with real-world insurance data, practitioners often encounter challenges during the dat...
Generative models are widely used to compensate for class imbalance in AI training pipelines, yet th...
Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasonin...
Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncon...
Real-time tracking and automated response systems are essential for standardising experiments, reduc...
Mental health related problems in adolescents are not always properly evaluated because of incomplet...
Machine learning models deployed in critical care settings exhibit demographic biases, particularly ...
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and eff...
Weakly Supervised Object Localization (WSOL) models enable joint classification and region-of-intere...
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and eff...
Understanding how neural networks rely on visual cues offers a human-interpretable view of their int...