國立虎尾科技大學 |

Artificial Intelligence in Medicine = Applications, Limitations and Future Directions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence in Medicine/ edited by Manda Raz, Tam C. Nguyen, Erwin Loh.
Reminder of title:	Applications, Limitations and Future Directions /
other author:	Raz, Manda.
Description:	VIII, 258 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Medical care. -
Online resource:	https://doi.org/10.1007/978-981-19-1223-8
ISBN:	9789811912238

Artificial Intelligence in Medicine = Applications, Limitations and Future Directions /
Artificial Intelligence in MedicineApplications, Limitations and Future Directions /[electronic resource] :edited by Manda Raz, Tam C. Nguyen, Erwin Loh. - 1st ed. 2022. - VIII, 258 p. 1 illus.online resource.

Preface -- 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.

This 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.

ISBN: 9789811912238

Standard No.: 10.1007/978-981-19-1223-8doiSubjects--Topical Terms:

654242
Medical care.

LC Class. No.: RA421-790.95

Dewey Class. No.: 610.73

Artificial Intelligence in Medicine = Applications, Limitations and Future Directions /
LDR:03191nam a22003975i 4500 001 1087489
003 DE-He213
005 20220616130102.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811912238 $9 978-981-19-1223-8
024 7 $a 10.1007/978-981-19-1223-8 $2 doi
035 $a 978-981-19-1223-8
050 4 $a RA421-790.95
072 7 $a MQ $2 bicssc
072 7 $a MED002000 $2 bisacsh
072 7 $a MQ $2 thema
082 0 4 $a 610.73 $2 23
245 1 0 $a Artificial Intelligence in Medicine $h [electronic resource] : $b Applications, Limitations and Future Directions / $c edited by Manda Raz, Tam C. Nguyen, Erwin Loh.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a VIII, 258 p. 1 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Preface -- 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 $a This 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 $a Medical care. $3 654242
650 0 $a Artificial intelligence. $3 559380
650 0 $a Machine learning. $3 561253
650 0 $a Medicine. $3 644133
650 0 $a Biomedical engineering. $3 588770
650 1 4 $a Health Care. $3 1365997
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Clinical Medicine. $3 583667
650 2 4 $a Medical and Health Technologies. $3 1387813
700 1 $a Raz, Manda. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322485
700 1 $a Nguyen, Tam C. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1394509
700 1 $a Loh, Erwin. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1304685
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811912221
776 0 8 $i Printed edition: $z 9789811912245
776 0 8 $i Printed edition: $z 9789811912252
856 4 0 $u https://doi.org/10.1007/978-981-19-1223-8
912 $a ZDB-2-SME
912 $a ZDB-2-SXM
950 $a Medicine (SpringerNature-11650)
950 $a Medicine (R0) (SpringerNature-43714)