Hend Abdallah Elsayed Afify
Vice Dean
Artificial Intelligence in Obstetrics and Gynecological Nursing: A New Era of Precision Healthcare
Women’s Health Science Journal • 2024
Publication Information
Authors
Afifi HAE*
Keywords
Artificial Intelligence; Gynecology; Healthcare; Nursing; Obstetrics
Journal
Women’s Health Science Journal
Publisher
Not Available
Volume
8
Issue
2
Pages
1-3
publication.type
Local
Paper Link
Not Available
Supplementary Materials
Hend Abdallah Elsayed Afify_artificial-intelligence-in-obstetrics-and-gynecological-nursing-a-new-era-of-precision-healthcare (1).pdf
Abstract
The applications of artificial intelligence processes have grown significantly in all medical disciplines during the last few
decades. The immense potential of artificial intelligence empowers obstetrical and gynecological nurses, ultimately leading
to enhanced women’s safety, improved health outcomes, and a more personalized and efficient healthcare delivery system.
Artificial intelligence has great influence in the nursing field by overcoming diagnostic challenges, decreasing bias in patient
care, improving treatment modalities, and reducing workload. Therefore, implementation in obstetrics and gynecology is
found to have a spellbound development. There are multifaceted applications of artificial intelligence in this field, highlighting
its potential to revolutionize clinical practice, enhance patient outcomes, and empower nurses with data-driven insights.
decades. The immense potential of artificial intelligence empowers obstetrical and gynecological nurses, ultimately leading
to enhanced women’s safety, improved health outcomes, and a more personalized and efficient healthcare delivery system.
Artificial intelligence has great influence in the nursing field by overcoming diagnostic challenges, decreasing bias in patient
care, improving treatment modalities, and reducing workload. Therefore, implementation in obstetrics and gynecology is
found to have a spellbound development. There are multifaceted applications of artificial intelligence in this field, highlighting
its potential to revolutionize clinical practice, enhance patient outcomes, and empower nurses with data-driven insights.