Kianmehr Saleh

ORCID: 0009-0003-3059-5076
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education
  • Cardiac pacing and defibrillation studies
  • Epilepsy research and treatment
  • Machine Learning in Bioinformatics
  • Cardiac electrophysiology and arrhythmias
  • Takotsubo Cardiomyopathy and Associated Phenomena
  • AI in cancer detection
  • Neurological disorders and treatments
  • Cardiac Imaging and Diagnostics

Kepler Universitätsklinikum
2024

Hamedan University of Medical Sciences
2024

<title>Abstract</title> Purpose Transitional cell carcinoma (TCC) of the bladder, also known as urothelial carcinoma, is most common type bladder cancer. The primary objective this study was to develop machine learning (ML) models predict survival outcomes cancer patients. Methods This utilized SEER dataset an ML model for predicting postoperative disease-specific overall in TCC retrospective included patients diagnosed between 2010 and 2015 training validation after 2018 external...

10.21203/rs.3.rs-4874784/v1 preprint EN Research Square (Research Square) 2024-09-18

Background: Synovial sarcoma is a rare soft tissue tumor that constitutes 5-10% of all sarcomas. Early diagnosis and risk stratification are essential for effective management. This study leverages machine learning models to improve the mortality in synovial sar-coma patients. Methods: retrospective cohort utilized data from Surveillance, Epidemiology, End Results (SEER) database analyze patients diagnosed with between 2004 2015, as well validation 2018 onward. The dataset encompassed...

10.20944/preprints202409.1326.v1 preprint EN 2024-09-18

Abstract Background Muscle relaxants are used during surgery, but their impact on ECG may differ, potentially affecting cardiac safety. This study aimed to compare the effects of Atracurium versus Cisatracurium QT interval changes in patients undergoing cataract surgery. Method double-blind, parallel-group randomized clinical trial (RCT) was conducted 2023 Hamadan, Iran. A total 80 surgery under general anesthesia were randomly assigned receive either ( n = 40) or 40). measured at four time...

10.1186/s12871-024-02820-2 article EN cc-by BMC Anesthesiology 2024-11-27

Abstract Background Leadless cardiac pacemakers (LCP) are well established in daily practice and comparable safety as efficacy to conventional transvenous pacemakers. With increasing implant volumes, more patients may need extraction retrieval of these devices. Data on extractability LCPs is however scare. Purpose The aim this study analyze indication, techniques, LCP extractions a multicenter international registry. Methods This an international, retrospective Demographic parameters,...

10.1093/europace/euae102.415 article EN cc-by-nc EP Europace 2024-05-01
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