Results 201 to 210 of about 835,716 (334)

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng   +8 more
wiley   +1 more source

Density Functional Theory–Spectroscopy Integrated Identification Method Encompassing Experimental and Theoretical Analyses for Designer Drug Stimulants

open access: yesAdvanced Intelligent Systems, EarlyView.
A novel approach integrates gas chromatography‐mass spectrometry with infrared, Raman, and nuclear magnetic resonance spectroscopy plus density functional theory to detect synthetic drugs. Quantum hyperpolarization further boosts NMR sensitivity for low‐concentration samples, improving detection accuracy in complex mixtures and offering promising ...
Keunhong Jeong   +8 more
wiley   +1 more source

Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra‐Fractionated Stereotactic Adaptive Radiotherapy

open access: yesAdvanced Intelligent Systems, EarlyView.
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu   +3 more
wiley   +1 more source

Exploring the Effects of 3D Gaze Stimulation and Color Performance in Augmented Reality‐Based Steady‐State Visual Evoked Potential

open access: yesAdvanced Intelligent Systems, EarlyView.
This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance.
Yiting Geng   +6 more
wiley   +1 more source

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