東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Approaches to human-centered AI in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Approaches to human-centered AI in healthcare/ Veena Grover, Balamurugan Balusamy, Nallakaruppan M.K., Vijay Anand, Mariofanna Milanova, editors.
remainder title:	Approaches to human-centered artificial intelligence in healthcare
other author:	Grover, Veena,
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (328 p.)
[NT 15003449]:	Chapter 1. Patient-centric AI: advancing healthcare through human-centered innovation -- Chapter 2. Virtual insights, real solutions: the promise of augmented reality in medicine -- Chapter 3. An in-depth exploration of AI and humanoid robotics' role in contemporary healthcare -- Chapter 4. Revolutionizing drug discovery with artificial intelligence: enhancing efficiency, addressing ethical concerns, and overcoming limitations -- Chapter 5. Applications of AI in drug discovery: its challenges, opportunities, and strategies -- Chapter 6. Artificial intelligence in medical imaging by machine learning and deep learning -- Chapter 7. Comparative assessment of machine learning methods for early prediction ofdiseases using health indicators -- Chapter 8. Comparative analysis of machine learning approaches for antimicrobial peptide prediction: a comprehensive review -- Chapter 9. A deep learning-based malarial parasite detection using blood smear images for healthcare techniques -- Chapter 10. Deep learning-based voice pathology detection from electroglottography -- Chapter 11. COVID-19 pandemic's personal safety is revolutionized by the smart mask.
Subject:	Patient-centered health care. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2238-3
ISBN:	9798369322390

Approaches to human-centered AI in healthcare
Approaches to human-centered AI in healthcare[electronic resource] /Approaches to human-centered artificial intelligence in healthcareVeena Grover, Balamurugan Balusamy, Nallakaruppan M.K., Vijay Anand, Mariofanna Milanova, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (328 p.)

Includes bibliographical references and index.

Chapter 1. Patient-centric AI: advancing healthcare through human-centered innovation -- Chapter 2. Virtual insights, real solutions: the promise of augmented reality in medicine -- Chapter 3. An in-depth exploration of AI and humanoid robotics' role in contemporary healthcare -- Chapter 4. Revolutionizing drug discovery with artificial intelligence: enhancing efficiency, addressing ethical concerns, and overcoming limitations -- Chapter 5. Applications of AI in drug discovery: its challenges, opportunities, and strategies -- Chapter 6. Artificial intelligence in medical imaging by machine learning and deep learning -- Chapter 7. Comparative assessment of machine learning methods for early prediction ofdiseases using health indicators -- Chapter 8. Comparative analysis of machine learning approaches for antimicrobial peptide prediction: a comprehensive review -- Chapter 9. A deep learning-based malarial parasite detection using blood smear images for healthcare techniques -- Chapter 10. Deep learning-based voice pathology detection from electroglottography -- Chapter 11. COVID-19 pandemic's personal safety is revolutionized by the smart mask.

"The integration of artificial intelligence (AI) stands as both a promise and a challenge in the field of healthcare. As technological advancements reshape the industry, academic scholars find themselves at the forefront of a crucial dialogue about the ethical implications and societal repercussions of AI. The accelerating sophistication of AI technologies brings forth a central dilemma: how to maintain the crucial human touch required for compassionate and effective patient care in the face of unprecedented technical progress. This challenge is not only a theoretical concern but a pressing reality as healthcare systems increasingly rely on AI-driven solutions.Approaches to Human-Centered AI in Healthcare emerges as a significant guide, offering a comprehensive exploration of the opportunities and challenges entwined with the integration of AI into healthcare. The book becomes a critical compass, navigating readers through the intricate intersections of AI and patient care. By delving into real-world case studies, cutting-edge research findings, and practical recommendations, it provides a roadmap for scholars to navigate the complexities of healthcare AI. In doing so, it aims not only to inform but to shape the discourse around the responsible integration of AI, ensuring that the fundamental principles of compassionate patient care remain at the forefront."--

ISBN: 9798369322390Subjects--Topical Terms:

2058426
Patient-centered health care.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RA971.6 / .A67 2024e

Dewey Class. No.: 362.10285

National Library of Medicine Call No.: W 84.7 / .A67 2024e

Approaches to human-centered AI in healthcare
LDR:03566nmm a2200265 a 4500 001 2378527
006 m d
007 cr nn muauu
008 250310s2024 pau fob 001 0 eng d
020 $a 9798369322390 $q (ebook)
020 $a 9798369322383 $q (print)
035 $a (OCoLC)1419797905
035 $a 00332067
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a RA971.6 $b .A67 2024e
060 0 0 $a W 84.7 $b .A67 2024e
082 0 4 $a 362.10285 $2 23
245 0 0 $a Approaches to human-centered AI in healthcare $h [electronic resource] / $c Veena Grover, Balamurugan Balusamy, Nallakaruppan M.K., Vijay Anand, Mariofanna Milanova, editors.
246 3 $a Approaches to human-centered artificial intelligence in healthcare
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (328 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Patient-centric AI: advancing healthcare through human-centered innovation -- Chapter 2. Virtual insights, real solutions: the promise of augmented reality in medicine -- Chapter 3. An in-depth exploration of AI and humanoid robotics' role in contemporary healthcare -- Chapter 4. Revolutionizing drug discovery with artificial intelligence: enhancing efficiency, addressing ethical concerns, and overcoming limitations -- Chapter 5. Applications of AI in drug discovery: its challenges, opportunities, and strategies -- Chapter 6. Artificial intelligence in medical imaging by machine learning and deep learning -- Chapter 7. Comparative assessment of machine learning methods for early prediction ofdiseases using health indicators -- Chapter 8. Comparative analysis of machine learning approaches for antimicrobial peptide prediction: a comprehensive review -- Chapter 9. A deep learning-based malarial parasite detection using blood smear images for healthcare techniques -- Chapter 10. Deep learning-based voice pathology detection from electroglottography -- Chapter 11. COVID-19 pandemic's personal safety is revolutionized by the smart mask.
520 3 $a "The integration of artificial intelligence (AI) stands as both a promise and a challenge in the field of healthcare. As technological advancements reshape the industry, academic scholars find themselves at the forefront of a crucial dialogue about the ethical implications and societal repercussions of AI. The accelerating sophistication of AI technologies brings forth a central dilemma: how to maintain the crucial human touch required for compassionate and effective patient care in the face of unprecedented technical progress. This challenge is not only a theoretical concern but a pressing reality as healthcare systems increasingly rely on AI-driven solutions.Approaches to Human-Centered AI in Healthcare emerges as a significant guide, offering a comprehensive exploration of the opportunities and challenges entwined with the integration of AI into healthcare. The book becomes a critical compass, navigating readers through the intricate intersections of AI and patient care. By delving into real-world case studies, cutting-edge research findings, and practical recommendations, it provides a roadmap for scholars to navigate the complexities of healthcare AI. In doing so, it aims not only to inform but to shape the discourse around the responsible integration of AI, ensuring that the fundamental principles of compassionate patient care remain at the forefront."-- $c Provided by publisher.
650 0 $a Patient-centered health care. $3 2058426
650 0 $a Artificial intelligence. $3 516317
650 2 $a Patient-Centered Care. $3 818387
650 2 $a Artificial Intelligence. $3 769149
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Grover, Veena, $d 1976- $3 3730083
700 1 $a Balusamy, Balamurugan. $3 3485810
700 1 $a M. K., Nallakaruppan, $d 1982- $3 3730084
700 1 $a Rajasekaran, Vijay Anand, $d 1982- $3 3730085
700 1 $a Milanova, Mariofanna G. $3 928039
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2238-3