Integrated Artificial Intelligence Approaches for Disease Diagnostics

被引：0
|
作者：
Rajat Vashistha
Deepak Chhabra
Pratyoosh Shukla
机构：
[1] Maharshi Dayanand University,Optimization and Mechatronics Laboratory, Department of Mechanical Engineering, University Institute of Engineering and Technology
[2] Maharshi Dayanand University,Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology
来源：
Indian Journal of Microbiology | 2018年 / 58卷
关键词：
Artificial intelligence; Computer aided diagnostics; Mechanobiology; Robotic surgery;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Mechanocomputational techniques in conjunction with artificial intelligence (AI) are revolutionizing the interpretations of the crucial information from the medical data and converting it into optimized and organized information for diagnostics. It is possible due to valuable perfection in artificial intelligence, computer aided diagnostics, virtual assistant, robotic surgery, augmented reality and genome editing (based on AI) technologies. Such techniques are serving as the products for diagnosing emerging microbial or non microbial diseases. This article represents a combinatory approach of using such approaches and providing therapeutic solutions towards utilizing these techniques in disease diagnostics.
引用
收藏
页码：252 / 255
页数：3
相关论文
共 50 条
  • [1] Integrated Artificial Intelligence Approaches for Disease Diagnostics
    Vashistha, Rajat
    Chhabra, Deepak
    Shukla, Pratyoosh
    INDIAN JOURNAL OF MICROBIOLOGY, 2018, 58 (02) : 252 - 255
  • [2] Smart diagnostics devices through artificial intelligence and mechanobiological approaches
    Yadav, Dinesh
    Garg, Ramesh Kumar
    Chhabra, Deepak
    Yadav, Rajkumar
    Kumar, Ashwani
    Shukla, Pratyoosh
    3 BIOTECH, 2020, 10 (08)
  • [3] Smart diagnostics devices through artificial intelligence and mechanobiological approaches
    Dinesh Yadav
    Ramesh Kumar Garg
    Deepak Chhabra
    Rajkumar Yadav
    Ashwani Kumar
    Pratyoosh Shukla
    3 Biotech, 2020, 10
  • [4] Image analysis and artificial intelligence in infectious disease diagnostics
    Smith, K. P.
    Kirby, J. E.
    CLINICAL MICROBIOLOGY AND INFECTION, 2020, 26 (10) : 1318 - 1323
  • [5] Recorders, reasoners and artificial intelligence - Integrated Diagnostics on military transport aircraft
    Chidambaram, Bala
    Horn, Philippe L.
    Gilbertson, Daniel D.
    Pigg, Paul
    Talbot, Mark A.
    Cerise, Kirk C.
    2006 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2006, : 3623 - +
  • [6] Artificial Intelligence in Integrated Diagnostics of the Rotating System with an Active Magnetic Bearing
    Gizelska, Malgorzata
    MECHATRONICS: IDEAS FOR INDUSTRIAL APPLICATIONS, 2015, 317 : 455 - 463
  • [7] Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork
    Hricak, Hedvig
    Langs, Georg
    RADIOLOGY, 2024, 312 (01)
  • [8] Foodborne Disease Symptoms, Diagnostics, and Predictions Using Artificial Intelligence-Based Learning Approaches: A Systematic Review
    Kumar, Yogesh
    Kaur, Inderpreet
    Mishra, Shakti
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2024, 31 (02) : 553 - 578
  • [9] Foodborne Disease Symptoms, Diagnostics, and Predictions Using Artificial Intelligence-Based Learning Approaches: A Systematic Review
    Yogesh Kumar
    Inderpreet Kaur
    Shakti Mishra
    Archives of Computational Methods in Engineering, 2024, 31 : 553 - 578
  • [10] Bursting the bubble on diagnostics: artificial intelligence in autoimmune bullous disease
    Doolan, Brent J.
    Thomas, Bjorn R.
    BRITISH JOURNAL OF DERMATOLOGY, 2024, 191 (02) : 160 - 161
12345