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020 _a9789811912238
024 7 _a10.1007/978-981-19-1223-8
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
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245 1 0 _aArtificial Intelligence in Medicine
_h[electronic resource] :
_bApplications, Limitations and Future Directions /
_cedited by Manda Raz, Tam C. Nguyen, Erwin Loh.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- Chapter 1 Untangling the concept of Artificial Intelligence, Machine Learning, and Deep Learning -- Chapter 2 Overview of Artificial Intelligence in Medicine -- Chapter 3 Machine learning, deep learning and neural networks -- Chapter 4 Machine Learning in Medical Imaging – Clinical Applications and Challenges in Computer Vision -- Chapter 5 Artificial Intelligence in Medicine: Applications, Limitations and Future Directions -- Chapter 6 Current Applications of Machine Learning in Medicine: ART -- Chapter 7 Artificial Intelligence in Ophthalmology -- Chapter 8 Machine learning in laparoscopic surgery -- Section 3 Limitations & Ethics -- Chapter 9 Limitations -- Chapter 10 Privacy and Data Security Issues -- Chapter 11 Explainable AI.
520 _aThis book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.
650 0 _aMedical care.
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
650 0 _aMedicine.
650 0 _aBiomedical engineering.
650 1 4 _aHealth Care.
650 2 4 _aArtificial Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aClinical Medicine.
650 2 4 _aMedical and Health Technologies.
700 1 _aRaz, Manda.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aNguyen, Tam C.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLoh, Erwin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-981-19-1223-8
_3Springer eBooks
_zOnline access link to the resource
942 _2NLM
_cEBK
041 _aeng