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: Design and development of smart surgical assistant technologies
    sub title: a case study for translational sciences
  name:
    name part: Kim, Jeff J. H.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2023
    copyright date: 2023
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 72 pages) : illustrations
  abstract: "Are Amazon Alexa and Google Home limited to our bedrooms, or can they be used in hospitals? Do you envision a future where physicians work hand-in-hand with voice AI to revolutionize healthcare delivery? In the near future, clinical smart assistants will be able to automate many manual hospital tasks-and this will be only the beginning of the changes to come. Voice AI is the future of physician-machine interaction and this Focus book will provide invaluable insight on its next frontier. It begins with a brief history and current implementations of voice-activated assistants and illustrates why clinical voice AI is at its inflection point. Next, it describes how the authors built the world's first smart surgical assistant using an off-the-shelf smart home device, outlining the implementation process in the operating room. From quantitative metrics to surgeons' feedback, the authors discuss the feasibility of this technology in the surgical setting. The book then provides an in-depth development guideline for engineers and clinicians desiring to develop their own smart surgical assistants. Lastly, the authors delve into their experiences in translating voice AI into the clinical setting and reflect on the challenges and merits of this pursuit. The world's first smart surgical assistant has not only reduced surgical time but eliminated major touch points in the operating room, resulting in positive, significant implications for patient outcomes and surgery costs. From clinicians eager for insight on the next digital health revolution to developers interested in building the next clinical voice AI, this book offers a guide for both audiences"--
  note: Jeff J. H. Kim, Richard Um, Rajiv Iyer, Nicholas Theodore, and Amir Manbachi.
  note: Includes bibliographical references and index.
  note: Jeff J.H. Kim is an MD/PhD student at the University of Illinois College of Medicine, leading developments in medical AI, health technology, and organ-on-chip microfluidics. During his master's program at Johns Hopkins University, he spearheaded the development of a voice-activated surgical assistant where he successfully implemented his pioneering work in the operating room, improving both patient safety and surgical efficiency. His work is published in the 2021 SPIE Medical Imaging Conference proceedings. He also led the development of several innovative works in neurosurgery and cardiology, developing a voice-activated smart surgical bed and cardiac patch that detects lethal arrhythmia. He obtained a dual bachelor's degree in Electrical Engineering and Neuroscience at Johns Hopkins University. Richard Um is a graduate researcher at the Johns Hopkins University School of Medicine. His research focuses on translational neurosurgery with an emphasis on in-vitro bench top models to test certain devices used in surgical procedures. With his extensive design and development skills, he created the first prototype of a working voice-controlled operating bed. He has since further developed a smart hospital assistant that provides surgeons with complete control over equipment in the operating room, prioritizing patient safety and workflow efficiency. Richard Um received a bachelor's degree in Biomedical Engineering with a minor in Robotics from the Johns Hopkins University as well as a master's in Biomedical Sciences from Tufts University. Rajiv Iyer is a pediatric neurosurgeon who recently completed a neurosurgical residency at The Johns Hopkins Hospital and a pediatric neurosurgery fellowship at Primary Children's Hospital/University of Utah, and is currently completing an Advanced Pediatric Spinal Deformity Fellowship at Columbia University/Morgan Stanley Children's Hospital under the mentorship of Dr. Lawrence Lenke and Dr. Michael Vitale. Dr. Iyer will soon be joining…
  subject:
    topic: Surgical technology
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Technologie chirurgicale
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Surgical technology
  classification: RD32.3 .K56 2023
  classification: 617/.0231
  related item:
    title info:
      title: Design and development of smart surgical assistant technologies
    name:
      name part: Kim, Jeff J. H.
    origin info:
      publisher: Boca Raton, FL : CRC Press, [2023]
      edition: First edition.
    identifier: (DLC) 2022014874
  identifier: 9781032181967
  identifier: 1032181966
  identifier: 9781003253341
  identifier: 1003253342
  identifier: 9781000685558
  identifier: 1000685551
  identifier: 9781000685527
  identifier: 1000685527
  identifier: 9781032168722
  identifier: 2022014875
  identifier: 9781003253341 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 220329
    record change date: 20241108170202.2
    record identifier: in00005525003
    language of cataloging:
      language term: eng