AIMC Topic: Pregnancy
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Large language models to facilitate pregnancy prediction after in vitro fertilization.
Acta obstetricia et gynecologica Scandinavica
Oct 28, 2024
We evaluated the efficacy of large language models (LLMs), specifically, generative pre-trained transformer-4 (GPT-4), in predicting pregnancy following in vitro fertilization (IVF) treatment and compared its accuracy with results from an original pu...
Optimizing lipid nanoparticles for fetal gene delivery in vitro, ex vivo, and aided with machine learning.
Journal of controlled release : official journal of the Controlled Release Society
Oct 28, 2024
There is a clinical need to develop lipid nanoparticles (LNPs) to deliver congenital therapies to the fetus during pregnancy. The aim of these therapies is to restore normal fetal development and prevent irreversible conditions after birth. As a firs...
Fetal Face: Enhancing 3D Ultrasound Imaging by Postprocessing With AI Applications: Myth, Reality, or Legal Concerns?
Journal of clinical ultrasound : JCU
Oct 25, 2024
The use of artificial intelligence (AI) platforms is revolutionizing the performance in managing metadata and big data. Medicine is another field where AI is spreading. However, this technological advancement is not amenable to errors or fraudulent m...
Artificial intelligence in obstetric anaesthesiology - the future of patient care?
International journal of obstetric anesthesia
Oct 24, 2024
The use of artificial intelligence (AI) in obstetric anaesthesiology shows great potential in enhancing our practice and delivery of care. In this narrative review, we summarise the current applications of AI in four key areas of obstetric anaesthesi...
Artificial intelligence-driven predictive framework for early detection of still birth.
SLAS technology
Oct 17, 2024
Predictive modeling is becoming increasingly popular in the context of early disease detection. The use of machine learning approaches for predictive modeling can help early detection of diseases thereby enabling medical experts to appropriate medica...
External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos.
Fertility and sterility
Oct 15, 2024
OBJECTIVE: To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.
[AI-supported decision-making in obstetrics - a feasibility study on the medical accuracy and reliability of ChatGPT].
Zeitschrift fur Geburtshilfe und Neonatologie
Oct 14, 2024
The aim of this study is to investigate the feasibility of artificial intelligence in the interpretation and application of medical guidelines to support clinical decision-making in obstetrics. ChatGPT was provided with guidelines on specific obstetr...
A review of artificial intelligence applications in in vitro fertilization.
Journal of assisted reproduction and genetics
Oct 14, 2024
The field of reproductive medicine has witnessed rapid advancements in artificial intelligence (AI) methods, which have significantly enhanced the efficiency of diagnosing and treating reproductive disorders. The integration of AI algorithms into the...
AI driven interpretable deep learning based fetal health classification.
SLAS technology
Oct 11, 2024
In this study, a deep learning model is proposed for the classification of fetal health into 3 categories: Normal, suspect, and pathological. The primary objective is to utilize the power of deep learning to improve the efficiency and effectiveness o...
Segmentation of four-chamber view images in fetal ultrasound exams using a novel deep learning model ensemble method.
Computers in biology and medicine
Oct 11, 2024
Fetal echocardiography, a specialized ultrasound application commonly utilized for fetal heart assessment, can greatly benefit from automated segmentation of anatomical structures, aiding operators in their evaluations. We introduce a novel approach ...
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