Tag: multimodal AI

A proof-of-concept study found that large language models show variable accuracy in diagnosing post-bariatric surgery complications, with performance influenced by ...

Researchers developed Pepti-DrugPhAI, a multimodal algorithm that evaluates peptide pharmacokinetics and toxicity to improve drug candidate selection.

Researchers have introduced FUGenerator, a multimodal artificial intelligence platform combining knowledge graphs and traceable node workflows to streamline architectural design ...

Researchers have developed SynForge-Cardio to orchestrate synthetic dataset generation across chest radiographs, electrocardiograms, and electronic health records using established generative ...

Researchers have conducted an exhaustive survey into retrieval-augmented generation across artificial intelligence generated content, establishing a structured taxonomy connecting information ...

A new explainable multimodal AI model integrates post-ESD images and clinical features to predict delayed bleeding after colorectal endoscopic submucosal ...

A prospective study demonstrates that combining electrocardiogram images with respiration video recordings in a dual-branch deep learning model accurately predicts ...

A new AI framework called H-GIM uses generative models to create 3D assets in an average of 1.1 minutes, achieving ...

Health systems face hidden infrastructure, oversight, and validation expenses when adopting clinical artificial intelligence across complex commercial pricing models.

A multicenter registry study showed that combining routine clinical features with planar scintigraphy images in a multimodal deep learning model ...