AI can be an efficient option for birth

Health and Wellness Informatics News

AI and ML can help women with their delivery. Mayo Clinic’s study suggested that AI and ML can help with labor. They can also predict complications.

Mayo Clinic and its researchers have found a new way to use AI. They believe that machine learning can predict changes during pregnancy. It can help women in labor. It can predict a vaginal delivery and the safety of both the child and its mother.

The process of birth varies for every woman. Therefore, doctors and obstetricians also analyze the fetal heartbeats of the child. They also look into contractions. This also helps them to decide about the situation and how to move forward with the delivery.

Researchers from Mayo Clinic have mentioned that these models can work very efficiently. One of the things they need is data. The data given and with the help of AI and ML, they can predict many possible outcomes. The outcomes can also be very specific as well.

Dr. Abimbola Famuyide is a senior author of this study. He is also a Mayo Clinic OB-GYN. He said that these tools could give us more accurate medical decisions. In addition, these tools can also help rural populations as well.

12 US medical centers gave the data for this study. This included 19 hospitals. They are within the Consortium of Safe Labor. The study used 228,438 cases of delivery for the initial data. The prediction model used 66,585 records, out of which 21.68% had poor labor.

This area is generally associated with high costs. Many studies continue to report this. MobiHealthNews reported that $424 million worth of funding came through maternal startups. This shows the potential of this medical field.

Many maternal models continue to address rural and racial disparities. They aim to reach these areas and provide maternal care. This will decrease the cost that rural households bear every day. The positive impact created by this move is worth it.

AI can predict many important things. It can help doctors by predicting the problem. It can then help with the treatment and its success rate. Machine learning is also under development. Both of them have tremendous applications.

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