Gülseren Polat

Dr. Gülseren Polat

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 January 2024 in İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi
Verified
Journal Article
Open access
PDF file
GPGülseren Polat
Gülseren Polat
HAHatice Kübra Arslan
Hatice Kübra Arslan
Clinicians have increasingly been using artificial intelligence (AI) to make decisions and to increase their knowledge in various clinical and surgical gynecological areas. A vast amount of clinical, medical, and biological patient data is processed in fast computer networks using complex algorithms to create mathematical modeling. The development of these mathematical models gives hope of a promising future with their contribution to overcoming the difficulties encountered in the diagnosis, individualization of treatment plans and improving patient outcomes. Virtual AI in clinical gynecology uses pattern recognition to aid diagnosis, plan treatment, and predict outcomes in gynecological malignancies, assisted reproductive techniques, and urogynecology. In gynecological surgery, physical AI combines augmented reality in operations in the form of computer-aided or robotic platforms. However, AI is yet to be fully incorporated into modern medical practice to improve patient outcomes in clinical gynecology.

4 June 2025 in CAM and Sakura Medical Journal
Verified
Journal Article
Open access
PDF file
GPGülseren Polat
Gülseren Polat
ZSZeynep Aybikem Sağlam
Zeynep Aybikem Sağlam
Intra-abdominal Abscess Drainage from Douglas Pouch to Vagina after Liposuction - Cam & Sakura Medical Journal

19 September 2026 in Medicina
Verified
Journal Article
Open access
PDF file
YKYücel Kaya
Yücel Kaya
KBKübra Kurt Bilirer
Kübra Kurt Bilirer
ABAybekcan Batman
Aybekcan Batman
BÇBURCU ÇIÇEK
BURCU ÇIÇEK
İYİlteriş Yaman
İlteriş Yaman
GPGülseren Polat
Gülseren Polat
Background and Objectives: To evaluate the association between the newly defined cerebroplacental–renal ratio (CPRR) and adverse perinatal outcome (APO) in pregnancy-induced hypertension (PIH), and to compare its discriminative performance with the cerebroplacental ratio (CPR) and cerebroplacental–uterine ratio (CPUR). Materials and Methods: This prospective, single-center cohort study included 105 women with PIH (preeclampsia, n = 63; gestational hypertension, n = 42). Doppler assessment was performed at ≥34 + 0 weeks and within 7 days before delivery. CPR was calculated as middle cerebral artery pulsatility index (PI)/umbilical artery PI, CPUR as CPR/mean uterine artery PI, and CPRR as CPR/right renal artery PI. APO was defined by the presence of any of the following: non-reassuring fetal status, a 5 min Apgar score <7, neonatal intensive care unit admission, or neonatal death. Receiver operating characteristic analysis and multivariable logistic regression adjusted for gestational age at ultrasound assessment and diagnosis group were performed. Results: APO occurred in 37 pregnancies (35.2%). CPUR and CPRR were significantly lower in the APO group, whereas CPR did not differ significantly. CPRR showed a higher apparent AUC for APO than CPR and CPUR (AUC 0.786, 95% CI 0.698–0.875), with significantly higher AUCs on pairwise DeLong comparisons. After adjustment, CPRR was the only Doppler index independently associated with APO (adjusted OR 1.423 per 0.1-unit decrease; 95% CI 1.162–1.743; p = 0.001). Conclusions: CPRR was independently associated with APO in PIH and showed higher discriminative performance than CPR and CPUR; however, these findings require validation in independent, multicenter studies before clinical application.