Publications by authors named "Habib Ozdemir"
Background: As the healthcare sector evolves, Artificial Intelligence's (AI's) potential to enhance laboratory medicine is increasingly recognized. However, the adoption rates and attitudes towards AI across European laboratories have not been comprehensively analyzed. This study aims to fill this gap by surveying European laboratory professionals to assess their current use of AI, the digital infrastructure available, and their attitudes towards future implementations.
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- * Results indicated that certain tests, particularly cardiac biomarkers, blood gases, and specific drug levels, were perceived to pose a higher risk for patient harm due to erroneous results.
- * There was strong agreement (91%) between medical biochemists and clinicians regarding the severity scores, highlighting the tests that require focused quality improvement efforts.
Article Synopsis
- Clinical labs have gotten way better at using tech to manage and share medical data, thanks to advanced systems and software.
- Although Laboratory Information Systems (LIS) have improved since the 1970s, they still struggle to handle all the extra information produced during testing.
- The paper suggests splitting this information into two types—metadata (which describes data) and peridata (which helps understand test results)—to make it easier to use and improve healthcare technology.
Background: Arterial blood gas evaluation is crucial for critically ill patients, as it provides essential information about acid-base metabolism and respiratory balance, but evaluation can be complex and time-consuming. Artificial intelligence can perform tasks that require human intelligence, and it is revolutionizing healthcare through technological advancements.
Aim: This study aims to assess arterial blood gas evaluation using artificial intelligence algorithms.
Objectives: ChatGPT, a tool based on natural language processing (NLP), is on everyone's mind, and several potential applications in healthcare have been already proposed. However, since the ability of this tool to interpret laboratory test results has not yet been tested, the EFLM Working group on Artificial Intelligence (WG-AI) has set itself the task of closing this gap with a systematic approach.
Methods: WG-AI members generated 10 simulated laboratory reports of common parameters, which were then passed to ChatGPT for interpretation, according to reference intervals (RI) and units, using an optimized prompt.
Obsessive-compulsive disorder (OCD) causes significant psychic distress and affects children's social and academic functioning. Approximately 80% of OCD cases begin in childhood. Earlier onset is associated with more severe OC symptoms, poorer treatment response, and a more unfavorable clinical course.
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- The study investigates the levels of perlecan, an extracellular matrix proteoglycan linked to endothelial functions, in maternal serum among women with different severities of preeclampsia.
- The research involved 50 women diagnosed with preeclampsia and 30 healthy pregnant women, finding significantly higher serum perlecan levels in those with severe preeclampsia compared to other preeclamptic patients.
- No significant differences in serum perlecan levels were observed between early-onset, late-onset preeclampsia, and healthy pregnancies, indicating that severe preeclampsia is notably distinct.
Objective: Fetal hydronephrosis (FH) is the most common fetal renal pathology encountered in daily obstetric practice. Urinary and serum carbohydrate antigen 19-9 (CA 19-9) concentrations are elevated in obstructive renal pathologies. Our aim was to assess maternal urinary and serum CA 19-9 concentrations in pregnancies with FH and compare results with controls.
View Article and Find Full Text PDFTo investigate serum cortistatin levels in women with gestational diabetes mellitus (GDM) and women with uncomplicated pregnancies. This case-control study consisted of 40 pregnancies with GDM and 41 healthy singleton pregnancies matched for maternal and gestational age. The maternal serum levels of cortistatin were measured with enzyme-linked immunosorbent assay and compared between groups.
View Article and Find Full Text PDFSpexin is a peptide that is involved in energy homeostasis and its expression is influenced by altered glucose metabolism. Gestational diabetes mellitus (GDM) is associated with increased insulin resistance (IR) and pregnancy is a progressive insulin resistant state. We hypothesized that spexin may have an effect on the pathophysiology of GDM which further could help to identify the disease.
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