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: Artificial intelligence and cloud computing applications in biomedical engineering
  name:
    name part: Madhusudhan, H. S.
    role:
      role term: editor.
  name:
    name part: Gupta, Punit
    role:
      role term: editor.
  name:
    name part: Rawat, Pradeep Singh
    role:
      role term: editor.
  name:
    name part: Kumar Saini, Dinesh
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books
  origin info:
    place:
      place term: flu
    date issued: 2026
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: Biomedical engineering is undergoing a transformation because of AI, which is allowing creative solutions that enhance patient outcomes, diagnosis, treatment planning, and healthcare delivery. Artificial Intelligence and Cloud Computing Applications in Biomedical Engineering examines the salient characteristics of AI in biomedical engineering, highlighting its practical applications and new directions. Highlights of the book include: Genome sequence and visualization The role of AI and cloud in detection of diseases Nature-inspired algorithms for disease detection Frameworks for disease classification With a focus on designing AI techniques for disease detection, the book explores the role of AI in biomedical engineering. It discusses how machine learning (ML) and deep learning (DL) are at the heart of AI applications in biomedical engineering. ML algorithms, particularly those based on neural networks, enable computers to learn from large datasets, identify patterns, and make predictions or decisions without explicit programming, and implementing ML algorithms is a focus of the book. Another focus is on DL, a subset of ML, and how it uses multi-layered neural networks to achieve high accuracy in such complex tasks as image and speech recognition. Biomedical engineering generates massive amounts of data from medical imaging, genomic sequencing, wearable devices, electronic health records (EHR), and other sources. This book also discusses AI-driven big data analytics, which allows researchers and clinicians to derive from data meaningful insights, aiding in early disease detection, personalized treatment plans, and patient monitoring.
  table of contents: 1. Artificial Intelligence and Computational Biology in Drug Discovery 2. Techniques of AI/ML for Genomics Visualisation in Plants 3. Computing Architectures on the Cloud to Address Current Problems in Structural Bioinformatics 4. Application of AI for Diseases Detection and Prevention 5. AI for Diseases Detection and Prevention 6. Machine Learning Techniques for Detecting Lung Cancer 7. A Review on AI Approaches for the Detection of Diabetic Retinopathy 8. Intelligent Applications for Medical Image Analysis 9. Machine Learning Integration with Biomedical Problems 10. Intelligent Tools and Techniques for Real Life Diseases 11. Free Space Detection in Medical Image Analysis for the Visually Impaired Using Histogram Equalization and Adaptive Region Growing
  target audience: Postgraduate
  target audience: adult
  note: edited by H S Madhusudhan, Punit Gupta, Pradeep Singh Rawat, Dinesh Kumar Saini.
  note: "CRC Press"
  subject:
    topic: Biomedical engineering
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Cloud computing
  subject:
    topic: Génie biomédical
  subject:
    topic: biomedical engineering
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Biomedical engineering
  subject:
    topic: Cloud computing
  classification: R856
  classification: 610.28
  identifier: 9781003617013
  identifier: 1003617018
  identifier: 9781040423691
  identifier: 1040423698
  identifier: 9781040423639
  identifier: 1040423639
  identifier: 9781041015260
  identifier: 9781041019268
  identifier: 9781003617013 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 250808
    record change date: 20251107220458.5
    record identifier: in00005668860
    language of cataloging:
      language term: eng