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Pregnancy and Childbirth

Prediction of vaginal birth after cesarean deliveries using machine learning

Am J Obstet Gynecol.

Lipschuetz M, Joshua Guedalia, Rottenstreich A, Novoselsky Persky M, Cohen MSM, Kabiri D, Levin G, Yagel S, Unger R, Sompolinsky Y

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Overactive Bladder

Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome

Obstet Gynecol.

Sheyn D, Ju M, Zhang S, Anyaeche C, Hijaz A, Mangel J, Mahajan S, Conroy B, El-Nashar S, Ray S

doi: 10.1097/AOG.0000000000003517.

Uro-Oncology

Predicting intraoperative and postoperative consequential events using machine learning techniques in patients undergoing robotic partial nephrectomy (RPN): Vattikuti Collective Quality Initiative (VCQI) database study

BJU Int.

Bhandari M, Nallabasannagari AR, Reddiboina M, Porter JR, Jeong W, Mottrie A, Dasgupta P, Challacombe B, Abaza R, Rha KH, Parekh DJ, Ahlawat R, Capitanio U, Yuvaraja TB, Rawal S, Moon DA, Buffi's NM, Sivaraman A, Maes KK, Porpiglia F, Gautam G, Turkeri L, Meyyazhgan KR, Patil P, Menon M, Rogers C

doi: 10.1111/bju.15087.

Uro-Oncology

Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning: comparison with PI-RADS v2 assessment scores

Quant Imaging Med Surg.

Winkel DJ, Breit HC, Shi B, Boll DT, Seifert HH, Wetterauer C

doi: 10.21037/qims.2020.03.08.

Pregnancy and Childbirth

Intrauterine Vacuum-Induced Hemorrhage-Control Device for Rapid Treatment of Postpartum Hemorrhage

Obstet Gynecol.

D'Alton ME, Rood KM, Smid MC, Simhan HN, Skupski DW, Subramaniam A, Gibson KS, Rosen T, Clark SM, Dudley D, Iqbal SN, Paglia MJ, Duzyj CM, Chien EK, Gibbins KJ, Wine KD, A Bentum NA, Kominiarek MA, Tuuli MG, Goffman D

doi: 10.1097/AOG.0000000000004138.

Pregnancy and Childbirth

Predicting seizures in pregnant women with epilepsy: Development and external validation of a prognostic model

PLoS Med.

Allotey J, Fernandez-Felix BM, Zamora J, Moss N, Bagary M, Kelso A, Khan R, van der Post JAM, Mol BW, Pirie AM, McCorry D, Khan KS, Thangaratinam S

doi: 10.1371/journal.pmed.1002802.

Pregnancy and Childbirth

Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models.

BMC Med.

Thangaratinam S, Allotey J, Marlin N, Dodds J, Cheong-See F, von Dadelszen P, Ganzevoort W, Akkermans J, Kerry S, Mol BW, Moons KG, Riley RD, Khan KS

doi: 10.1186/s12916-017-0827-3.

Reproductive Health

A systematic review of the quality of clinical prediction models in in vitro fertilisation

Hum Reprod.

Ratna MB, Bhattacharya S, Abdulrahim B, McLernon DJ

doi: 10.1093/humrep/dez258.

Sexually Transmitted Diseases (STD)

Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study

Lancet HIV.

Marcus JL, Hurley LB, Krakower DS, Alexeeff S, Silverberg MJ, Volk JE

doi: 10.1016/S2352-3018(19)

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