Showing 4,821 - 4,840 results of 5,248 for search '"AI"', query time: 0.06s Refine Results
  1. 4821
  2. 4822
  3. 4823
  4. 4824

    Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

    Published 2025-01-01
    “…[Issues and Prospects] This study proposes some scientific and technical problems concerning coal formation, organic/inorganic elements, minerals, and clean assessment, positing that future advancements in chemistry, physics, biology, and big data/artificial intelligence (AI) will bring opportunities for the further development of clean coal geology and its applications in large-scale engineering. …”
    Get full text
    Article
  5. 4825
  6. 4826

    Spatial profiling of endoplasmic reticulum stress markers in tumor associated cells predicts patient outcomes in pancreatic cancer by Georgia Porter, Murray D. Norris, Minoti Apte, Angelica M. Merlot

    Published 2025-02-01
    “…Methods: Multiplex immunofluorescence was performed on tumor microarrays and images were analyzed using HALO AI software. Results: BiP and CHOP were upregulated in CAFs and endothelial cells in PDAC sections relative to non-neoplastic pancreas sections. …”
    Get full text
    Article
  7. 4827
  8. 4828
  9. 4829
  10. 4830
  11. 4831
  12. 4832
  13. 4833
  14. 4834
  15. 4835
  16. 4836
  17. 4837

    MRI to digital medicine diagnosis: integrating deep learning into clinical decision-making for lumbar degenerative diseases by Baoyi Ke, Wenyu Ma, Junbo Xuan, Junbo Xuan, Yinghao Liang, Liguang Zhou, Wenyong Jiang, Jing Lin, Guixiang Li

    Published 2025-01-01
    “…IntroductionTo develop an intelligent system based on artificial intelligence (AI) deep learning algorithms using deep learning tools, aiming to assist in the diagnosis of lumbar degenerative diseases by identifying lumbar spine magnetic resonance images (MRI) and improve the clinical efficiency of physicians.MethodsThe PP-YOLOv2 algorithm, a deep learning technique, was used to design a deep learning program capable of automatically identifying the spinal diseases (lumbar disc herniation or lumbar spondylolisthesis) based on the lumbar spine MR images. …”
    Get full text
    Article
  18. 4838
  19. 4839

    Neuromorphic, physics-informed spiking neural network for molecular dynamics by Vuong Van Pham, Temoor Muther, Amirmasoud Kalantari Dahaghi

    Published 2025-01-01
    “…It also leverages the enhanced representation of real biological neural systems through spiking neural network integration with molecular dynamic physical principles, offering greater efficiency compared to conventional AI algorithms. NP-SNN integrates three core components: (1) embedding MD principles directly into the training, (2) employing best practices for training physics-informed ML systems, and (3) utilizing a highly advanced and efficient SNN architecture. …”
    Get full text
    Article
  20. 4840

    Evaluating ChatGPT’s diagnostic potential for pathology images by Liya Ding, Lei Fan, Lei Fan, Miao Shen, Miao Shen, Yawen Wang, Kaiqin Sheng, Zijuan Zou, Huimin An, Zhinong Jiang

    Published 2025-01-01
    “…BackgroundChat Generative Pretrained Transformer (ChatGPT) is a type of large language model (LLM) developed by OpenAI, known for its extensive knowledge base and interactive capabilities. …”
    Get full text
    Article