rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in artificial intelligence
    sub title: biomedical engineering applications in signals and imaging
  name:
    name part: Pal, Kunal
    role:
      role term: editor.
  name:
    name part: Neelapu, Bala Chakravarthy
    role:
      role term: editor
  name:
    name part: Sivaraman, J.
    role:
      role term: editor
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: London
    publisher: Academic Press
    date issued: 2024
    copyright date: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxvii, 601 pages) : illustrations
  abstract: "Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of arti­ficial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical ­ eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices. Key Features: Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used. Provides an understanding of the design of experiments to validate the developed algorithms. Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques."--Provided by publisher.
  table of contents: Chapter 1: Introduction to biomedical signals and biomedical imaging / Anton Popova and Kateryna Ivanko -- Chapter 2: Medical applications of artificial intelligence / Bikash K. Pradhana, Deblina Biswasc, Bala Chakravarthy Neelapua, J. Sivaramana, and Kunal Pa -- Chapter 3: Decipher the mask-induced cardiac changes in the ECG signals using DWT and machine learning classifiers -- Chapter 4: A robust to noise classification method for the heart sound signals using deep learning technique -- Chapter 5: A hybrid ResNet-18-UNet model for MRI brain tumor segmentation -- Chapter 6: Artificial intelligence (AI) in medical robotics -- Chapter 7: Artificial intelligence in medical education -- Chapter 8: Artificial intelligence-based obstructive sleep apnea detection using ECG signals -- Chapter 9: Artificial intelligence techniques for diagnosis of atrial fibrillation -- Chapter 10: Artificial intelligence in monitoring and correction of functional state based on electrocardiosignal -- Chapter 11 -- Deep learning methods for drug repurposing through heterogeneous data -- Chapter 12 -- Explainable AI for medical applications / Nalla Maheswara Rao, J. Sivaraman, Kunal Pal, and Bala Chakravarthy Neelapu -- Chapter 13 -- Artificial intelligence-based smart devices for biomedical applications / Deblu Sahua, Bala Chakravarthy Neelapua, J. Sivaramana, Sirsendu S. Rayb, and Kunal Pal -- Chapter 14 -- Automation in orthodontics and orthopedics using artificial intelligence / S. Gowri Priya and A. Thirugnanam -- Chapter 15 -- Data-driven model for healthcare diagnosis / Lakshmi Kanthan Narayanana, Priyanga Subbiahb, Rengaraj Alias, Muralidharan Ramanujamc, P.B. Aravind Prasadd, and P. Selvaraj -- Chapter 16 -- Artificial intelligence in diabetes management / Anju Thomas, Varun P. Gopi and Bibin Francis -- Chapter 17 -- 2D and 3D segmentation of organs using artificial intelligence / Maksym Manko and Javier Ramírez -- Chapter 18 -- Early-stage identification of autism in children using…
  note: edited by Kunal Pal, Bala Chakravarthy Neelapu, J. Sivaraman.
  note: Includes bibliographical references and index
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Biomedical engineering
  subject:
    topic: Intelligence artificielle
    topic: Applications en médecine
  subject:
    topic: Génie biomédical
  subject:
    topic: biomedical engineering
  classification: R859.7.A78
  classification: 610.285/63
  related item:
    title info:
      title: ADVANCES IN ARTIFICIAL INTELLIGENCE
    origin info:
      publisher: [S.l.] : ELSEVIER ACADEMIC PRESS, 2024
    identifier: (OCoLC)1390915574
  identifier: 9780443153921
  identifier: 0443153922
  identifier: 9780443190735
  identifier: 0443190739
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240601
    record change date: 20260327175927.7
    record identifier: in00005773265
    language of cataloging:
      language term: eng