Neuroinformatics Applications of Data Science and Artificial Intelligence

被引:0
|
作者
Dinov, Ivo D. [1 ]
机构
[1] Univ Michigan, Ann Arbor, MI 48109 USA
关键词
D O I
10.1007/s12021-024-09692-4
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Leveraging vast neuroimaging and electrophysiological datasets, AI algorithms are uncovering patterns that offer unprecedented insights into brain structure and function. Neuroinformatics, the fusion of neuroscience and AI, is advancing technologies like brain-computer interfaces, AI-driven cognitive enhancement, and personalized neuromodulation for treating neurological disorders. These developments hold potential to improve cognitive functions, restore motor abilities, and create human-machine collaborative systems. Looking ahead, the convergence of neuroscience and AI is set to transform cognitive modeling, decision-making, and mental health interventions. This fusion mirrors the quest for nuclear fusion energy, both driven by the need to unlock profound sources of understanding. As STEM disciplines continue to drive core developments of foundational models of the brain, neuroinformatics promises to lead innovations in augmented intelligence, personalized healthcare, and effective decision-making systems.
引用
收藏
页码:403 / 405
页数:3
相关论文
共 50 条
  • [31] Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications
    Bianchi, Jonas
    Ruellas, Antonio
    Prieto, Juan Carlos
    Li, Tengfei
    Soroushmehr, Reza
    Najarian, Kayvan
    Gryak, Jonathan
    Deleat-Besson, Romain
    Le, Celia
    Yatabe, Marilia
    Gurgel, Marcela
    Al Turkestani, Najla
    Paniagua, Beatriz
    Cevidanes, Lucia
    SEMINARS IN ORTHODONTICS, 2021, 27 (02) : 78 - 86
  • [32] Artificial intelligence for science-bridging data to wisdom
    Xu, Yongjun
    Wang, Fei
    An, Zhulin
    Wang, Qi
    Zhang, Zhao
    INNOVATION, 2023, 4 (06):
  • [33] Big Data of Food Science and Artificial Intelligence Technology
    Cui X.
    Li W.
    Gu C.
    Journal of Chinese Institute of Food Science and Technology, 2021, 21 (02) : 1 - 8
  • [34] Artificial Intelligence Competencies for Data Science Undergraduate Curricula
    Danyluk, Andrea
    Buck, Scott
    THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, : 9746 - 9747
  • [35] Explainable Artificial Intelligence for Data Science on Customer Churn
    Leung, Carson K.
    Pazdor, Adam G. M.
    Souza, Joglas
    2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2021,
  • [36] Series Editorial: Artificial Intelligence and Data Science for Communications
    Choi, Yongmin
    Louta, Malamati
    Shao, Yulin
    Zhang, Jie
    IEEE COMMUNICATIONS MAGAZINE, 2024, 62 (04) : 48 - 49
  • [37] The coming era of artificial intelligence in biological data science
    Henry Han
    Wenbin Liu
    BMC Bioinformatics, 20
  • [38] SOCIAL-SCIENCE DATA AND ARTIFICIAL-INTELLIGENCE
    SELZ, M
    HOMME, 1990, 30 (04): : 143 - 150
  • [39] SERIES EDITORIAL ARTIFICIAL INTELLIGENCE AND DATA SCIENCE FOR COMMUNICATIONS
    Choi, Yongmin
    Louta, Malamati
    Shao, Yulin
    Zhang, Jie
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (10) : 76 - 76
  • [40] Series Editorial: Artificial Intelligence and Data Science for Communications
    Choi, Yongmin
    Kamal, Ahmed E.
    Louta, Malamati
    IEEE Communications Magazine, 2022, 60 (07)