Real-world validation of a bleeding prediction algorithm in levonorgestrel intrauterine device users using the MyIUS mobile app

This study aimed to validate the real-world performance of the MyIUS mobile application algorithm in predicting bleeding intensity and regularity in levonorgestrel intrauterine device (LNG-IUD) 52 mg, 19.5 mg, and 13.5 mg users following device insertion. This was an observational real-world perform...

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Vydáno v:	Contraception (Stoneham) Ročník 152; s. 111201
Hlavní autoři:	Vieira, Carolina Sales, Eggebrecht, Lisa, Milhoranca, Igor Andre, Neumann, Robert, Acar, Mariana Schiffer, von Stockum, Sophia, Frenz, Ann-Kathrin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 01.12.2025
Témata:	Adolescent Adult Algorithm validation Algorithms Amenorrhea - chemically induced Artificial Intelligence Bleeding changes Bleeding prediction Contraceptive Agents, Female - administration & dosage Contraceptive Agents, Female - adverse effects Female Humans Intrauterine Devices, Medicated - adverse effects Levonorgestrel - administration & dosage Levonorgestrel - adverse effects Levonorgestrel intrauterine device Metrorrhagia Middle Aged Mobile Applications MyIUS app Prediction Algorithms Young Adult Algorithm validation Bleeding changes MyIUS app Bleeding prediction Artificial Intelligence Levonorgestrel intrauterine device
ISSN:	0010-7824, 1879-0518, 1879-0518
On-line přístup:	Získat plný text
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