Results 221 to 230 of about 858,076 (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

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

Treatment-specific interrupted time series analyses of judicial deference to health technology assessment in Brazil. [PDF]

open access: yesBMC Health Serv Res
Poirier MJ   +8 more
europepmc   +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

Quantifying Printing Quality for Printed Electrodes via Deep Learning and Spatial Association: Empowering Process Optimization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim   +6 more
wiley   +1 more source

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