Keyword search (4,163 papers available)

"cardiac intervention" Keyword-tagged Publications:

Title Authors PubMed ID
1 Advanced Robotics for the Next-Generation of Cardiac Interventions Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; 40283240
ENCS

 

Title:Advanced Robotics for the Next-Generation of Cardiac Interventions
Authors:Roshanfar MSalimi MKaboodrangi AHJang SJSinusas AJWong SCMosadegh B
Link:https://pubmed.ncbi.nlm.nih.gov/40283240/
DOI:10.3390/mi16040363
Publication:Micromachines
Keywords:artificial intelligenceautonomous navigationcardiac interventionhaptic feedbacksoft roboticstelerobotics
PMID:40283240 Category: Date Added:2025-04-26
Dept Affiliation: ENCS
1 Department of Mechanical Engineering, Gina Cody School of Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.
2 Department of Mechanical Engineering, York University, Toronto, ON M3J 1P3, Canada.
3 Department of Surgery, Broward Health, Fort Lauderdale, FL 33316, USA.
4 Section of Cardiovascular Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT 06519, USA.
5 Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
6 Dalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.

Description:

With an increasing number of elderly individuals, the demand for advanced technologies to treat cardiac diseases has become more critical than ever. Additionally, there is a pressing need to reduce the learning curve for cardiac interventionalists to keep pace with the rapid development of new types of procedures and devices and to expand the adoption of established procedures in more hospitals. This comprehensive review aims to shed light on recent advancements in novel robotic systems for cardiac interventions. To do so, this review provides a brief overview of the history of previously developed robotic systems and describes the necessity for advanced technologies for cardiac interventions to address the technological limitations of current systems. Moreover, this review explores the potential of cutting-edge technologies and methods in developing the next generation of intra-procedure autonomous navigation. Each highlighted topic undergoes a critical analysis to evaluate its technical limitations and the challenges that must be addressed for successful clinical implementation.





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