Machine Learning Models in Sepsis Outcome Prediction for ICU Patients: Integrating Routine Laboratory Tests-A Systematic Review.

Sepsis presents significant diagnostic and prognostic challenges, and traditional scoring systems, such as SOFA and APACHE, show limitations in predictive accuracy. Machine learning (ML)-based predictive survival models can support risk assessment and treatment decision-making in the intensive care unit (ICU) by accounting for the numerous and complex factors that influence the outcome in the septic patient. A systematic literature review of studies published from 2014 to 2024 was conducted using the PubMed database.

Imaging Aspects in a Case of Persistent Müllerian Duct Syndrome (PMDS): A Case Report and Overview.

Persistent Müllerian duct syndrome (PMDS) is a rare kind of internal male pseudohermaphroditism. The patient, who has a male karyotype and phenotypic characteristics, exhibits Müllerian duct derivatives such as the uterus, cervix, fallopian tubes, and upper two-thirds of the vagina. This article provides a comprehensive analysis of the CT and MRI characteristics of a case of PMDS in a 35-year-old male patient who sought medical attention at our clinic due to pain in the left inguinal region and the presence of undescended testes on both sides.

Non-Antibiotic Prevention of Catheter Mechanic and Septic Complications in Patients with Long-Term Indwelling Catheters: a Crossover Prospective Study Involving L-Methionine.

Bacterial antimicrobial resistance (AMR) is a major public health concern in modern society caused by bacterial changes that impair the efficacy of infection-treating drugs. Non-antibiotic techniques are critical for controlling the antimicrobial resistance concern because they provide a means of alleviating symptoms without needing antibiotics. This prospective study aims to determine whether administering L-methionine reduces mechanical and bacterial problems associated with long-term indwelling urinary catheters.

The Potential Impact of Large Language Models on Doctor-Patient Communication: A Case Study in Prostate Cancer.

Background: In recent years, the integration of large language models (LLMs) into healthcare has emerged as a revolutionary approach to enhancing doctor-patient communication, particularly in the management of diseases such as prostate cancer.

Methods: Our paper evaluated the effectiveness of three prominent LLMs-ChatGPT (3.5), Gemini (Pro), and Co-Pilot (the free version)-against the official Romanian Patient's Guide on prostate cancer.

Comparative Approaches in Treating Double-J Stent Syndrome: Monotherapy or Combination Therapy?

: The application of double-J ureteral stents in urology is widespread, but their use is often accompanied by complications and bothersome symptoms, affecting patients' quality of life (QoL). While various medications have been tested for alleviating the symptoms associated with double-J stents, consensus on their effectiveness remains elusive. This study aims to investigate the effectiveness of tamsulosin, solifenacin, mirabegron, desloratadine, and combination therapy using a Romanian-adapted version of the Ureteral Stent Symptom Questionnaire (USSQ).