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Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.
J Med Internet Res
January 2025
Department of Urology, Soonchunhyang University Seoul Hospital, Soonchunhyang University Medical College, Seoul, Republic of Korea.
Background: Ureteral stents, such as double-J stents, have become indispensable in urologic procedures but are associated with complications like hematuria and pain. While the advancement of artificial intelligence (AI) technology has led to its increasing application in the health sector, AI has not been used to provide information on potential complications and to facilitate subsequent measures in the event of such complications.
Objective: This study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy.
Acute kidney injury in coronavirus disease: a comparative study of the two waves in Brazil.
Einstein (Sao Paulo)
October 2024
Faculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brazil.
Article Synopsis
- - Magalhães et al. found a high incidence of acute kidney injury among hospitalized COVID-19 patients, particularly in the second wave, which was more severe despite similar mortality rates due to vaccine effectiveness and improved clinical practices.
- - Risk factors for acute kidney injury included the use of diuretics, mechanical ventilation, and certain laboratory markers like proteinuria and D-dimer levels.
- - In a study of 887 hospitalized patients in São Paulo, acute kidney injury was seen in 48.1%, with 38.9% overall mortality, highlighting the urgency in managing renal issues in COVID-19 cases.
Clinical Characteristics of Children with Acute Post-Streptococcal Glomerulonephritis and Re-Evaluation of Patients with Artificial Intelligence.
Medeni Med J
September 2024
Konya City Hospital, Clinic of Pediatric Nephrology, Konya, Türkiye.
Article Synopsis
- - The study investigates the use of AI, specifically ChatGPT, in the follow-up care of children diagnosed with acute post-streptococcal glomerulonephritis (APSGN), a common kidney condition caused by streptococcus infection.
- - Researchers analyzed 11 pediatric patients with APSGN, noting their clinical characteristics and evaluating the accuracy of ChatGPT's responses to specific medical questions about the condition and its management.
- - Findings suggest that ChatGPT provides accurate information regarding APSGN and can assist clinicians in decision-making and treatment planning for affected patients, potentially improving patient management.
High-power Holmium:Yag lithotripsy in bladder urolithiasis: Is it safe and effective? A combined clinical and experimental study.
Arab J Urol
January 2024
Department of Urology, University of Patras, Patras, Greece.
Article Synopsis
- The study aimed to assess the effectiveness and safety of using high-power Holmium: Yttrium-Aluminum-Garnet (Ho:YAG) lasers over 100 W for bladder stone treatment.
- An experimental setup involved testing on artificial stones and porcine bladder, while a clinical trial was conducted on 35 patients with various laser power settings.
- Results showed a 100% stone-free rate in patients, faster ablation rates with high power, and minimal complications, indicating that Ho:YAG laser lithotripsy is a safe and efficient method for treating bladder stones.
A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria.
Scand J Urol
May 2024
Department of Urology, Institute of Clinical Science, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden; Department of Urology, Sahlgrenska University Hospital, Region Västra Götaland, Göteborg, Sweden.
Objective: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in patients with macroscopic hematuria.
Methods: Our study included patients who had undergone evaluation for macroscopic hematuria. A CNN-based AI model was trained and validated on the CTUs included in the study on a dedicated research platform (Recomia.
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