Results 291 to 300 of about 4,822,114 (362)

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

Advanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu, An Shao, Bingtao Guan, Ziyao Luo, Weiyi Lai, Xiaoling Huang, Jun Liu, Jie Yan, Huimin Li, Xiangji Pan, Jiawei Wang, Zichang Su, Yih Chung Tham, Jie Yang, Haotian Lin, Juan Ye, Hongxia Xu, Jian Wu   +17 more
wiley   +1 more source

A new classification algorithm for low concentration slurry based on machine vision. [PDF]

Sci Rep
Wang C, Wang X, Khumalo A, Jiang F, Lv J.   +4 more
europepmc   +1 more source

AIEgen‐Based Proactive Early Warning System and Precise Treatment Strategy for Monkeypox Prevention and Control

Advanced Science, EarlyView.
An intelligent early warning and treatment system for monkeypox, utilizing a sprayable AIEgen‐ liquid dressing (AIE@LD) that responds to lesion pH. Integrated with a smartphone app and cloud platform, it enables real‐time infection detection via fluorescence imaging and triggers on‐demand photodynamic therapy under white light, effectively eradicating ...
Wei Wang, Zining Liu, Mengjun Li, Judun Zheng, Ruilin Zhang, Ke Liu, Xiaoxue Li, Shaoying Wen, Jingze Yu, Meijia Pan, Fengbo Ma, Kun Zhou, Zheng Zhao, Chenguang Shen, Yuhui Liao   +14 more
wiley   +1 more source

Machine vision-based recognition of safety signs in work environments. [PDF]

Front Public Health
Román-Gallego JÁ, Pérez-Delgado ML, Conde MA, Viñuela ML.   +3 more
europepmc   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

Detection of opening motion characteristics in DC circuit breakers based on machine vision. [PDF]

PLoS One
Ku Z, Li J, Li D, Dong H.
europepmc   +1 more source

UniMR: A Plug‐and‐Play Framework of Automated Molecular Recognition for Scanning Tunneling Microscopy

Advanced Science, EarlyView.
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao, Lingyin Zhang, Bingzheng Wu, Haonan Chen, Junhao Sun, Linghao Yan, Wenfei Li, Yangyang Wu, Zhifang Wang, Qigang Zhong, Lifeng Chi   +10 more
wiley   +1 more source

Reconfigurable and nonvolatile ferroelectric bulk photovoltaics based on 3R-WS₂ for machine vision. [PDF]

Nat Commun
Gong Y, Duan R, Hu Y, Wu Y, Zhu S, Wang X, Wang Q, Lau SP, Liu Z, Tay BK.   +9 more
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Efficient and Non-Invasive Grading of Chinese Mitten Crab Based on Fatness Estimated by Combing Machine Vision and Deep Learning. [PDF]

Foods
Li J, Ye H, Zhou C, Yang X, Li Z, Wei Q, Li C, Sun D.   +7 more
europepmc   +1 more source