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Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
by
Acharya, Neema
, Muneeba, Shaikh
, Patel, Dharmesh J
, Chaudhari, Kamlesh
, Shrivastava, Deepti
in
Algorithms
/ Artificial intelligence
/ Automation
/ Brain research
/ Clinical decision making
/ Clinical medicine
/ Clustering
/ Deep learning
/ Electronic health records
/ FDA approval
/ Gynecology
/ Heart rate
/ Machine learning
/ Medical personnel
/ Neural networks
/ Obstetrics
/ Ultrasonic imaging
2024
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Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
by
Acharya, Neema
, Muneeba, Shaikh
, Patel, Dharmesh J
, Chaudhari, Kamlesh
, Shrivastava, Deepti
in
Algorithms
/ Artificial intelligence
/ Automation
/ Brain research
/ Clinical decision making
/ Clinical medicine
/ Clustering
/ Deep learning
/ Electronic health records
/ FDA approval
/ Gynecology
/ Heart rate
/ Machine learning
/ Medical personnel
/ Neural networks
/ Obstetrics
/ Ultrasonic imaging
2024
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Do you wish to request the book?
Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
by
Acharya, Neema
, Muneeba, Shaikh
, Patel, Dharmesh J
, Chaudhari, Kamlesh
, Shrivastava, Deepti
in
Algorithms
/ Artificial intelligence
/ Automation
/ Brain research
/ Clinical decision making
/ Clinical medicine
/ Clustering
/ Deep learning
/ Electronic health records
/ FDA approval
/ Gynecology
/ Heart rate
/ Machine learning
/ Medical personnel
/ Neural networks
/ Obstetrics
/ Ultrasonic imaging
2024
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Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
Journal Article
Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
2024
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Overview
The integration of artificial intelligence (AI) in obstetrics and gynecology (OB/GYN) is revolutionizing the landscape of women's healthcare. This review article explores the transformative impact of AI technologies on the diagnosis, treatment, and management of obstetric and gynecological conditions. We examine key advancements in AI-driven imaging techniques, predictive analytics, and personalized medicine, highlighting their roles in enhancing prenatal care, improving maternal and fetal outcomes, and optimizing gynecological interventions. The article also addresses the challenges and ethical considerations associated with the implementation of AI in clinical practice. This paper highlights the potential of AI to greatly improve the standard of care in OB/GYN, ultimately leading to better health outcomes for women, by offering a thorough overview of present AI uses and future prospects.
Publisher
Springer Nature B.V
Subject
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