A5031315176- Soft Robotics and Applications
- Cardiac and Coronary Surgery Techniques
- Surgical Simulation and Training
- Anatomy and Medical Technology
- Cardiac Valve Diseases and Treatments
- Mechanical Circulatory Support Devices
- Cardiac Structural Anomalies and Repair
- Teleoperation and Haptic Systems
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare and Education
- Cardiovascular Function and Risk Factors
- Radiomics and Machine Learning in Medical Imaging
- Cardiac, Anesthesia and Surgical Outcomes
- Congenital Heart Disease Studies
- Robotics and Automated Systems
- Intracranial Aneurysms: Treatment and Complications
- Biomedical and Engineering Education
- Iterative Learning Control Systems
- Collagen: Extraction and Characterization
- Metal and Thin Film Mechanics
- Advanced X-ray and CT Imaging
- Wireless Sensor Networks for Data Analysis
- Colorectal Cancer Surgical Treatments
- Advanced Manufacturing and Logistics Optimization
- Gastrointestinal Bleeding Diagnosis and Treatment
Foundation of Cardiac Surgery Development
2016-2025
Medical University of Silesia
2003-2025
University of Silesia in Katowice
2024
Silesian Center for Heart Disease
2002-2021
Institute of Electrical and Electronics Engineers
2021
Stevens Institute of Technology
2021
Gorgias Press (United States)
2021
Górnośląskie Centrum Medyczne
2012
Foundation for Cardiac Surgery
2011
In recent years, deep neural networks have enabled countless innovations in the field of image classification. Encouraged by success this field, researchers worldwide demonstrated how to use Convolutional Neural Network techniques medical imaging problems. article, results were obtained through EfficientNet task classifying 14 different diseases based on chest X-ray images coming from NIH (National Institutes Health) ChestX-ray14 dataset. The approach addresses dataset imbalances introducing...
Background This paper presents the mechanical structure and control system of Polish cardio-robot Robin Heart (RIH). Methods The project with cardiac surgery robots started in 2000. It was supported by team from Foundation Cardiac Surgery Development, Zabrze, cooperation research centers Lodz Warsaw. So far three prototypes, RH0, 1 & 2, family have been designed, constructed tested. In addition many diagnostic systems to aid assessment robot performance. Results main focus this article...
The use of robotics in health care has seen a recent rise interest due to its potential for during the SARS-CoV-2 pandemic. transmission rate COVID-19 meant that health-care workers are under increasing pressure, risks, and workload manage requirements personal protective equipment, strict disinfection procedures, heightened medical needs patients. Patients suffering from isolation, not just hospitals: higher-risk individuals must shelter, meaning social interactions, particularly homes,...
Objectives: The purpose of this study is to evaluate the performance our deep learning algorithm in calculating cardiothoracic ratio (CTR) and thus assessment cardiomegaly or pericardial effusion occurrences on chest radiography (CXR). Methods: From a database 8000 CXRs, 13 folders with comparable number images were created. Then, 1020 chosen randomly, proportion each folder. Afterward, CTR was calculated using RadiAnt Digital Imaging Communications Medicine (DICOM) Viewer software (2023.1)....
The introduction of right ventricle to pulmonary artery (RV-PA) conduit in the Norwood procedure for hypoplastic left heart syndrome resulted a higher survival rate many centers. A diastolic aortic pressure and mean coronary perfusion were suggested as hemodynamic advantage this source blood flow. main objective study was comparison two models physiology with different types flow sources their hemodynamics.Based on anatomic details obtained from echocardiographic assessment angiographic...
Diagnostic imaging has become an integral part of the healthcare system. In recent years, scientists around world have been working on artificial intelligence-based tools that help in achieving better and faster diagnoses. Their accuracy is crucial for successful treatment, especially diagnostics. This study used a deep convolutional neural network to detect four categories objects digital chest X-ray images. The data were obtained from publicly available National Institutes Health (NIH)...
Article Modification of the Kedem — Katchalsky Zelman Model-Equations Transmembrane Transport was published on January 1, 1989 in journal Journal Non-Equilibrium Thermodynamics (volume 14, issue 3).
3D force sensors were developed to further integration in laparoscopic heads of surgery robots. The Si operate with piezoresistive transduction principle by measuring the stress induced signals symmetrically arranged four piezoresistors a deforming membrane. As chip size has be reduced few mm2, conventional anisotropic alkaline etching technique was replaced deep reactive ion (DRIE) for membrane formation. Moreover, DRIE enables form any geometry and offers formation monolith transfer rod...
3D contact force sensors were developed and integrated in a demonstration system for testing the feasibility of their application minimal invasive surgery (MIS). Piezoresistive MEMS based vectorial designed fabricated by silicon micromachining technology packaged according to proposed transducer sensor applications. In this work we demonstrated integrability functional applicability MIS robotic systems improve flexibility reliability providing real-time tactile information during operation....
Introduction Structural modification of proteins, mainly collagen in connective tissues, is important the manufacture tissue-derived biomaterials. Natural compounds like genipin or tannic acid (TA) have been proposed instead glutaraldehyde which shows cytotoxic effects on processed tissue. Furthermore, calcification glutaraldehyde-treated tissue limits functional lifetime bioprostheses. TA known to form numerous hydrogen bonds with proteins. The purpose our study was investigate structural...