首页|Faculty of Engineering of the University of Porto Reports Findings in Machine Le arning (Patient-specific surrogate model to predict pelvic floor dynamics during vaginal delivery)
Faculty of Engineering of the University of Porto Reports Findings in Machine Le arning (Patient-specific surrogate model to predict pelvic floor dynamics during vaginal delivery)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Porto, Portugal, by News Rxeditors, research stated, “Childbirth is a challenging event that can lead to long-term consequences such as prolapse or incontinence. While computational models are widely used to mimic vaginal delivery, their integration into clinical practice is hindered by time constraints.”
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