國立高雄大學圖資館 |

登入

回首頁

Revolutionizing healthcareimpact of artificial intelligence on diagnosis, treatment, and patient care /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Revolutionizing healthcareedited by Thipendra P. Singh ... [et al.].
其他題名:	impact of artificial intelligence on diagnosis, treatment, and patient care /
其他作者:	Singh, Thipendra P.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xviii, 340 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-3-031-80813-5
ISBN:	9783031808135$q(electronic bk.)

Revolutionizing healthcareimpact of artificial intelligence on diagnosis, treatment, and patient care /
Revolutionizing healthcareimpact of artificial intelligence on diagnosis, treatment, and patient care /[electronic resource] :edited by Thipendra P. Singh ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xviii, 340 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v. 11821860-9503 ;. - Studies in computational intelligence ;v. 216..

Introduction to Intelligent Techniques in Healthcare -- Kuramoto Phase Model Possible New Effects of Neuronal Dynamics -- Object Detection in the Healthcare Industry Using YOLO A Better Way Than CNN -- A Study on Performance of Ensemble Based Classifiers on Healthcare Data -- Pre Diagnosis of Cardiovascular Diseases through Machine Learning and Deep Learning Techniques Using Clinical Parameters -- Machine Learning Aided Breast Cancer Detection Towards Reducing Mortality Rates -- Advancements in Diabetic Retinopathy Detection Using Deep Learning -- Advancements in Computer Aided Diagnosis Systems for Mammographic Mass Detection A Comprehensive Review -- Automated Detection of Oral Cancer through Deep Learning A Histopathological Approach -- Deep Learning Driven CNN Models for Enhanced Brain Tumor Classification -- Improving Remote Patient Monitoring and Care Using Machine Learning -- Detecting Depression Using Textual Data from Social Media -- Machine Learning in Addiction Research Advancements, Challenges, and Future Directions -- MindEase Systematic Review for Unraveling Mental Health with Machine Learning Approach in Adults -- Early Detection of Mental Health Conditions and Advising System Using Artificial Intelligence -- Virtual Health Assistants AI in Patient Engagement -- Revolutionizing Electronic Health Records with AI in Hospitals for Patient Benefit -- Ethical Considerations in AI Enabled Healthcare -- Overcoming Challenges in the Integration of AI in Healthcare -- AI's Potential Embracing AI in the Future of Healthcare -- Strategies for AI in Healthcare Implementation.

This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems. The articles cover a range of AI applications, from disease diagnosis and drug design to patient engagement and mental health treatment. Advances in machine learning (ML) and deep learning (DL) technologies have opened new possibilities for diagnosing complex conditions, with examples like predictive analysis for health risks and early diagnosis of diseases such as breast cancer and diabetic retinopathy. Additionally, AI's role in treating mental health disorders is highlighted. While AI offers vast benefits, the book stresses the importance of ethical considerations, such as patient privacy and equitable access. It also addresses challenges in integrating AI within existing healthcare systems, underscoring collaboration among stakeholders as crucial. This book ultimately provides a comprehensive look at AI's potential to reshape healthcare.

ISBN: 9783031808135$q(electronic bk.)

Standard No.: 10.1007/978-3-031-80813-5doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Revolutionizing healthcareimpact of artificial intelligence on diagnosis, treatment, and patient care /
LDR:03802nmm a2200337 a 4500 001 680330
003 DE-He213
005 20250321115223.0
006 m d
007 cr nn 008maaau
008 251110s2025 sz s 0 eng d
020 $a 9783031808135$q(electronic bk.)
020 $a 9783031808128$q(paper)
024 7 $a 10.1007/978-3-031-80813-5 $2 doi
035 $a 978-3-031-80813-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b R454 2025
245 0 0 $a Revolutionizing healthcare $h [electronic resource] : $b impact of artificial intelligence on diagnosis, treatment, and patient care / $c edited by Thipendra P. Singh ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xviii, 340 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1182
505 0 $a Introduction to Intelligent Techniques in Healthcare -- Kuramoto Phase Model Possible New Effects of Neuronal Dynamics -- Object Detection in the Healthcare Industry Using YOLO A Better Way Than CNN -- A Study on Performance of Ensemble Based Classifiers on Healthcare Data -- Pre Diagnosis of Cardiovascular Diseases through Machine Learning and Deep Learning Techniques Using Clinical Parameters -- Machine Learning Aided Breast Cancer Detection Towards Reducing Mortality Rates -- Advancements in Diabetic Retinopathy Detection Using Deep Learning -- Advancements in Computer Aided Diagnosis Systems for Mammographic Mass Detection A Comprehensive Review -- Automated Detection of Oral Cancer through Deep Learning A Histopathological Approach -- Deep Learning Driven CNN Models for Enhanced Brain Tumor Classification -- Improving Remote Patient Monitoring and Care Using Machine Learning -- Detecting Depression Using Textual Data from Social Media -- Machine Learning in Addiction Research Advancements, Challenges, and Future Directions -- MindEase Systematic Review for Unraveling Mental Health with Machine Learning Approach in Adults -- Early Detection of Mental Health Conditions and Advising System Using Artificial Intelligence -- Virtual Health Assistants AI in Patient Engagement -- Revolutionizing Electronic Health Records with AI in Hospitals for Patient Benefit -- Ethical Considerations in AI Enabled Healthcare -- Overcoming Challenges in the Integration of AI in Healthcare -- AI's Potential Embracing AI in the Future of Healthcare -- Strategies for AI in Healthcare Implementation.
520 $a This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems. The articles cover a range of AI applications, from disease diagnosis and drug design to patient engagement and mental health treatment. Advances in machine learning (ML) and deep learning (DL) technologies have opened new possibilities for diagnosing complex conditions, with examples like predictive analysis for health risks and early diagnosis of diseases such as breast cancer and diabetic retinopathy. Additionally, AI's role in treating mental health disorders is highlighted. While AI offers vast benefits, the book stresses the importance of ethical considerations, such as patient privacy and equitable access. It also addresses challenges in integrating AI within existing healthcare systems, underscoring collaboration among stakeholders as crucial. This book ultimately provides a comprehensive look at AI's potential to reshape healthcare.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Diagnosis $x Technological innovations. $3 937466
650 0 $a Diseases $x Treatment $x Technological innovations. $3 237667
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Health Care Management. $3 674996
650 2 4 $a Health Informatics. $3 274212
650 2 4 $a Health Sciences. $3 911835
700 1 $a Singh, Thipendra P. $3 955848
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-031-80813-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)