東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Application of generative AI in healthcare systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of generative AI in healthcare systems/ edited by Azadeh Zamanifar, Miad Faezipour.
其他作者:	Zamanifar, Azadeh.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiii, 211 p. :ill., digital ;24 cm.
內容註:	Generative AI in Medical Imaging -- Generative AI in Pandemic Prediction -- Application of GenAI in Synthetic Data Generation in the healthcare system -- Application of GenAI in Clinical Administration Support -- Application of Generative AI in Patient Engagement -- Application of Generative AI in Drug discovery -- Application of Generative AI in Resource Optimization in Healthcare Systems -- Ethics and Regulations in Generative AI.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-3-031-82963-5
ISBN:	9783031829635

Application of generative AI in healthcare systems
Application of generative AI in healthcare systems[electronic resource] /edited by Azadeh Zamanifar, Miad Faezipour. - Cham :Springer Nature Switzerland :2025. - xiii, 211 p. :ill., digital ;24 cm.

Generative AI in Medical Imaging -- Generative AI in Pandemic Prediction -- Application of GenAI in Synthetic Data Generation in the healthcare system -- Application of GenAI in Clinical Administration Support -- Application of Generative AI in Patient Engagement -- Application of Generative AI in Drug discovery -- Application of Generative AI in Resource Optimization in Healthcare Systems -- Ethics and Regulations in Generative AI.

Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.

ISBN: 9783031829635

Standard No.: 10.1007/978-3-031-82963-5doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Application of generative AI in healthcare systems
LDR:02789nmm a2200337 a 4500 001 2408565
003 DE-He213
005 20250226115251.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031829635 $q (electronic bk.)
020 $a 9783031829628 $q (paper)
024 7 $a 10.1007/978-3-031-82963-5 $2 doi
035 $a 978-3-031-82963-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a MBG $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a MED117000 $2 bisacsh
072 7 $a UXT $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b A652 2025
245 0 0 $a Application of generative AI in healthcare systems $h [electronic resource] / $c edited by Azadeh Zamanifar, Miad Faezipour.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiii, 211 p. : $b ill., digital ; $c 24 cm.
505 0 $a Generative AI in Medical Imaging -- Generative AI in Pandemic Prediction -- Application of GenAI in Synthetic Data Generation in the healthcare system -- Application of GenAI in Clinical Administration Support -- Application of Generative AI in Patient Engagement -- Application of Generative AI in Drug discovery -- Application of Generative AI in Resource Optimization in Healthcare Systems -- Ethics and Regulations in Generative AI.
520 $a Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
650 0 $a Artificial intelligence $x Medical applications. $3 900591
650 1 4 $a Health Informatics. $3 892928
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computers and Society. $3 891253
700 1 $a Zamanifar, Azadeh. $3 3781144
700 1 $a Faezipour, Miad. $3 1680398
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-82963-5
950 $a Computer Science (SpringerNature-11645)