Results 221 to 230 of about 1,930,858 (393)

Evaluating the Outcomes of Surgical Hip Dislocation for Femoral Head Trauma: A Systematic Review. [PDF]

open access: yesCureus
Hassan M   +6 more
europepmc   +1 more source

Machine learning versus traditional formulas for fetal weight estimation: An international multicenter study evaluating prediction accuracy across birth weight percentiles

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess whether machine learning (ML) offers improved birth weight prediction accuracy, since despite numerous models, the Hadlock formula remains the clinical standard. Methods A multicenter retrospective study analyzed data from 9674 singleton pregnancies with estimated fetal weight (EFW) within 7 days of delivery.
Omer Dor   +6 more
wiley   +1 more source

POS-316 OSTEONECROSIS OF THE HEAD FEMORAL OF SICKLE CELL IN BRAZZAVILLE IN ABOUT 70 CASES: INTEREST OF THE GLOMERULAR FILTRATION RATE

open access: gold, 2021
P.E. GANDZALI   +6 more
openalex   +1 more source

Customized, degradable, functionally graded scaffold for potential treatment of early stage osteonecrosis of the femoral head

open access: yesJournal of Orthopaedic Research, 2018
T. Kawai   +6 more
semanticscholar   +1 more source

Influence of advanced maternal age (≥35 years) on maternal and neonatal outcomes in vaginally intended breech deliveries at term—A FRABAT study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To examine maternal and neonatal outcomes in women aged 35 years and older compared with those under 35 years following planned vaginal breech deliveries. Methods This study encompassed all vaginally intended breech deliveries at the Department of Obstetrics and Perinatal Medicine at Goethe University Hospital in Frankfurt from ...
Bilal Alemi   +8 more
wiley   +1 more source

Bilibili and TikTok as sources of medical information on osteonecrosis of the femoral head: A cross-platform content analysis. [PDF]

open access: yesDigit Health
Wei B   +14 more
europepmc   +1 more source

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri   +7 more
wiley   +1 more source

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