Latest AI and machine learning research in alternative medicine for healthcare professionals.
Multimodal large language models (MLLMs) have advanced clinical tasks for common conditions, but the...
Evidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model sho...
Large Multimodal Models (LMMs) achieve state-of-the-art performance in high-stakes domains like heal...
Deep neural networks can predict human judgments, but this does not imply that they rely on human-li...
Recent vision-language models (VLMs) typically rely on a single vision encoder trained with contrast...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...
Marine scene understanding and segmentation plays a vital role in maritime monitoring and navigation...
We present Feature-Align CNN (FA-CNN), a prototype CNN architecture with intrinsic class attribution...
Working memory (WM) supports the temporary maintenance of goal-relevant information and is disrupted...
Automated detection and classification of cervical cells in conventional Pap smear images can streng...
Multi-modal fusion has emerged as a promising paradigm for accurate 3D object detection. However, pe...
Infrared and visible image fusion(IVIF) combines complementary modalities while preserving natural t...
Large Language Models (LLMs) are fluent but prone to hallucinations, producing answers that appear p...
Deep learning model classification on large datasets is often limited in countries with restricted c...
Capsule endoscopy event detection is challenging because diagnostically relevant findings are sparse...
Recent advances in vision-language models (VLMs) have garnered substantial attention in open-vocabul...
Medical image segmentation (MIS) is a fundamental component of computer-assisted diagnosis and clini...
A central goal of conducting omics measurements is to understand how molecular features inform highe...
Recent depth foundation models trained on perspective imagery achieve strong performance, yet genera...
Agentic retrieval-augmented reasoning pipelines are increasingly used to structure how large languag...
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecula...