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Author: Smaranda Belciug
Publisher: Springer Nature
ISBN: 3031181549
Category : Technology & Engineering
Languages : en
Pages : 283
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Book Description
This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
Author: Smaranda Belciug
Publisher: Springer Nature
ISBN: 3031181549
Category : Technology & Engineering
Languages : en
Pages : 283
Get Book Here
Book Description
This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
Author: Kumar
Publisher:
ISBN: 9781668489789
Category :
Languages : en
Pages : 0
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Book Description
Author: Raj C Vaidyamath
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Embark on a modern and informed pregnancy journey with Curated Pregnancy. This comprehensive guide integrates the power of artificial intelligence to provide evidence-based insights, expert perspectives, and practical advice for expectant parents. From prenatal care and nutrition to emotional well-being and preparing for childbirth, this book covers it all. With AI perspectives, you'll gain a deeper understanding of your pregnancy, empowering you to make informed decisions and ensure the best possible care for yourself and your baby. Curated Pregnancy combines the expertise of healthcare professionals with the latest advancements in AI, offering a unique blend of knowledge and innovation.
Author: European Federation for Medical Informatics. International Congress
Publisher: IOS Press
ISBN: 1607500442
Category : Computers
Languages : en
Pages : 1064
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Book Description
This volume contains the proceedings of the twenty-second International Conference on Medical Informatics Europe MIE 2009, that was held in Sarajevo, Bosnia and Herzegovina, from 30 August to 2 September 2009. The scientific topics present in this proceedings range from national and trans-national eHealth roadmaps, health information and electronic health record systems, systems interoperability and communication standards, medical terminology and ontology approaches, and social networks to Web, Web 2.0, nd Semantic Web solutions for patients, health personnel, and researchers. Furthermore, they include quality assurance and usability of medical informatics systems, specific disease management and telemedicine systems, including a section on devices and snsors, drug safety, clinical decision support and medical expert systems, clinical practice guidelines and protocols, as well as issues on privacy and security. Moreover, bioinformatics, biomedical modeling and simulation, medical imaging and visualizatio and, last but not least, learning and education through medical informatics systems are parts of the included topics.
Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 429
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Book Description
The lack of comprehensive, innovative insights into the intricate world of pregnancy complication prediction is a pressing concern, as these complications can severely impact the health and wellbeing of pregnant patients. As the complexities of maternal healthcare continue to evolve, scholars grapple with the challenge of staying at the forefront of research and innovation in this critical field. The unpredictability of pregnancy complications poses significant risks to positive patient outcomes, demanding novel approaches to diagnosis and prevention. The academic community seeks a solution that can bridge the gap between traditional research and the transformative potential of technological advancements in healthcare. Technological Tools for Predicting Pregnancy Complications not only identify the problem but offer an authoritative solution. It serves as a beacon of knowledge for academic scholars, providing a holistic exploration of how Artificial Intelligence (AI) and Machine Learning (ML) technologies can revolutionize maternal healthcare. With a laser focus on predictive models, comprehensive health data analysis, and innovative algorithmic approaches, this book equips scholars with the tools they need to navigate the ever-evolving landscape of pregnancy complications. Academic scholars will find a treasure trove of insights, spanning from the fundamentals of AI and ML in healthcare to the application of IoT devices and wearable sensors for expectant mothers.
Author: Henry E Parkins
Publisher: Independently Published
ISBN:
Category : Medical
Languages : en
Pages : 0
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Book Description
Discover the Future of Maternal Healthcare! "Utilizing Artificial Intelligence for Personalized Management of Pregnancy Sickness: Challenges, Opportunities, and Future Directions" is your gateway to the next frontier in maternal healthcare innovation! Dive into the groundbreaking world of AI-driven solutions tailored specifically for managing pregnancy sickness and transforming the pregnancy experience for expectant mothers everywhere. Embrace Personalized Care: Say goodbye to one-size-fits-all approaches! With AI-powered algorithms, healthcare providers can now offer personalized management strategies that cater to the unique needs, preferences, and characteristics of each expectant mother. From early detection to tailored treatment plans, personalized care is at the forefront of maternal healthcare revolution. Explore Cutting-Edge Technologies: Uncover the latest advancements in artificial intelligence, genomic medicine, digital health, and wearable technologies that are reshaping the landscape of pregnancy sickness management. From predictive analytics to decision support systems, discover how AI is revolutionizing clinical practice and improving patient outcomes. Navigate Challenges, Seize Opportunities: Delve into the complexities of pregnancy sickness management and uncover innovative solutions to overcome challenges and seize opportunities. From ethical considerations to regulatory compliance, this book provides insights, strategies, and best practices for navigating the evolving landscape of maternal healthcare delivery. Shape the Future of Maternal Health: Join us on a journey of discovery, collaboration, and empowerment as we shape the future of maternal health together. Whether you're a healthcare provider, researcher, AI developer, or expectant mother, this book offers valuable insights, inspiration, and actionable strategies for driving positive change in pregnancy sickness management. Don't Miss Out on the Revolution: Unlock the potential of artificial intelligence in personalized management of pregnancy sickness and transform the way we approach maternal healthcare delivery. Get your copy of "Utilizing Artificial Intelligence for Personalized Management of Pregnancy Sickness: Challenges, Opportunities, and Future Directions" today and embark on a journey of innovation, empowerment, and excellence in maternal healthcare! Elevate Maternal Health. Embrace Innovation. Empower Expectant Mothers.
Author: G. Justus Hofmeyr
Publisher: John Wiley & Sons
ISBN: 1119964857
Category : Medical
Languages : en
Pages : 263
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Book Description
Pregnancy and Childbirth presents the best evidence for the care of pregnant women to doctors, midwives, students and parents. The logical sequence of chapters and the index give quick access to the abstracts of over four hundred Cochrane systematic reviews. The book serves both as a stand-alone reference, and as a companion to locating full reviews on the Cochrane Library. The Cochrane Library is published by John Wiley on behalf of The Cochrane Collaboration. www.thecochranelibrary.com
Author: Prerna Ranganathan
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Through the use of artificial intelligence (AI) and natural language processing (NLP), an advanced health-agent system, Promoting Mums through Pregnancy & Postpartum Through SMS (PROMPTS), has been deployed in Kenya to help pregnant mothers, or mums, receive the help they need. Unfortunately, the health care system in Kenya is poor, which leads to challenges in mums getting the necessary care and results in many maternal and neonatal deaths. While the PROMPTS platform has helped to improve the health care that the mums are receiving, there is potential for it to be optimized further by considering the current challenges that the system faces. This paper focuses on the use of traditional classification models to improve classification performance. By analyzing three classification models, Adaptive Boosting (AdaBoost), Random Forest (RF), and k-Nearest Neighbors (k-NN), this work aims to create a new model that combines the three classifiers in an optimal manner. The models discussed in this paper are evaluated using three main performance metrics: precision, recall, and F1 score. With a model that effectively and accurately classifies information, PROMPTS will have a better overall performance.
Author: Leslie Francis
Publisher: Oxford University Press
ISBN: 0199981876
Category : Medical
Languages : en
Pages : 681
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Book Description
Intimate and medicalized, natural and technological, reproduction poses some of the most challenging ethical dilemmas of our time. This volume brings together scholars from multiple perspectives to address both traditional and novel questions about the rights and responsibilities of human reproducers, their caregivers, and the societies in which they live.
Author: Kumar, D. Satish
Publisher: IGI Global
ISBN: 1668489767
Category : Computers
Languages : en
Pages : 386
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Book Description
Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.
