Ultrasound assessment of cervical status compared to the Bishop score - predicting the success of labor induction using a machine learning-based model.

Objective: The main aim of this study was to develop a machine-learning-based model for predicting the success of labor induction (IOL). To that end, the clinical and ultrasound parameters that affect the successfulness of labor induction were assessed. Then, a new ultrasound scoring system (USS) was developed and assessed.

Synthetic cannabinoids awareness among patients with opioid use disorder in Serbia - A survey based cross-sectional pilot study.

Introduction: There is limited data on the awareness and use of synthetic cannabinoids (SCs) in high-risk population in Serbia, despite SCs becoming more and more common at illicit drug market.

Aim: This pilot study aimed to examine the awareness and prevalence of use of SCs in patients with an opioid-use disorder and to identify patient characteristics and other factors associated with SCs use.

Patients And Methods: This cross-sectional study was conducted at the Clinic for Psychiatry, Clinical Center Vojvodina, Serbia, the largest tertiary health care institution in this region of the country.