Kanuni Sultan Suleyman Training and Research Hospital

In adults and children low or high blood chloride levels are linked to the risk of death. The aim of this observational study is to determine whether there is a relationship between low or high blood chloride levels and the risk of death or long-term lung problems. We will also learn the risk factors and associated conditions of high or low blood chloride levels. We will include infants born before 32 weeks of pregnancy or have a birth weight of less than 1500 grams in the study. The main question it aims to answer is:
Is there a relationship between low or high blood chloride levels in the first 4-6 weeks of life and risk of death or long-term lung problems in premature babies? We will examine the medical reports of babies who were followed up in neonatal intensive care unit over the past 5 years.

To evaluate postoperative outcomes in patients with isthmocele undergoing laparoscopic repair, comparing the efficacy of V-LocTM 180 and Polyglactin 910 Vicryl sutures.
Patients were randomized to undergo laparoscopic isthmocele repair using one of the following suture materials: (1) V-LocTM 180 or (2) Polyglactin 910 Vicryl.

his study is designed as a prospective observational clinical trial. Patients over 18 years old who are hemodynamically stable and require mechanical ventilation in the Intensive Care Unit (ICU) will be included. The inclusion criteria ensure that participants require individualized ventilatory optimization.
The study will involve a comparison between Artificial Intelligence (AI)-generated Positive End-Expiratory Pressure (PEEP) recommendations and expert-determined PEEP levels. ICU specialists will perform PEEP titration manually based on standardized protocols, identifying the lower inflection point (LIP) and upper inflection point (UIP) to optimize ventilation. The pressure-volume (P-V) curve will be analyzed to ensure optimal alveolar recruitment and prevent overdistension.
Study Procedures
Participants will:
Undergo systematic mechanical ventilation assessments, including inspiratory hold and expiratory hold maneuvers, compliance, elastance, auto-PEEP, and time constant evaluations.
Have ventilation data collected and analyzed using three AI models: ChatGPT, DeepSeek, and Gemini.
Receive AI-generated recommendations regarding optimal PEEP levels, abnormal ventilation parameters, and potential treatment suggestions.
Have their AI-based PEEP recommendations compared with those determined by ICU specialists with at least five years of experience.
Outcome Measures
The study will compare AI and expert assessments based on the following primary and secondary measures:
Primary Outcome: Agreement between AI-generated PEEP levels and expert-determined PEEP levels.
Secondary Outcomes:
AI sensitivity and specificity in detecting abnormal ventilation parameters. Accuracy of AI-generated diagnoses. Clinical applicability of AI-recommended treatment strategies. This study aims to determine whether AI models can serve as reliable clinical decision support tools for ventilator management in ICU patients.