首页|New Artificial Intelligence Data Have Been Reported by Investiga- tors at VSB-Technical University of Ostrava (Artificial Intelligence and Machine Learning In Electronic Fetal Monitoring)

New Artificial Intelligence Data Have Been Reported by Investiga- tors at VSB-Technical University of Ostrava (Artificial Intelligence and Machine Learning In Electronic Fetal Monitoring)

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2024 FEB 22 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Artificial Intelligence is now available. According to news reporting originating from Ostrava, Czech Republic, by NewsRx correspondents, research stated, "Electronic fetal monitoring is used to evaluate fetal well-being by assessing fetal heart activity. The signals produced by the fetal heart carry valuable information about fetal health, but due to non-stationarity and present interference, their processing, analysis and interpretation is considered to be very challenging." Financial supporters for this research include Ministry of Education, Youth & Sports - Czech Republic, Basal Ganglia Damage in Newborns. Our news editors obtained a quote from the research from the VSB-Technical University of Ostrava, "Therefore, medical technologies equipped with Artificial Intelligence algorithms are rapidly evolving into clinical practice and provide solutions in the key application areas: noise suppression, feature detection and fetal state classification. The use of artificial intelligence and machine learning in the field of elec- tronic fetal monitoring has demonstrated the efficiency and superiority of such techniques compared to conventional algorithms, especially due to their ability to predict, learn and efficiently handle dynamic Big data. Combining multiple algorithms and optimizing them for given purpose enables timely and accurate diagnosis of fetal health state."

OstravaCzech RepublicEuropeAlgorithmsArtificial Intelli- genceCyborgsEmerging TechnologiesMachine LearningVSB-Technical University of Ostrava

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.22)
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