Robotic Systems in Cardiovascular Interventions: Evolving Platforms and the Path Forward
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Interventional radiology is increasingly turning to robotic solutions to overcome limitations of manual catheterization, such as operator fatigue, procedural complications, and radiation exposure. Despite rapid advancements in robotic technologies, existing platforms face barriers to widespread adoption due to complex hardware, nonintuitive controls, and limited modularity, thereby affecting sterility, the absence of true force feedback, heavy reliance on fluoroscopy, high costs, and a lack of truly disruptive innovation. In effect, many systems function more as extensions of the surgeon's hand rather than as disruptive leaps. This review surveys 19 commercial and emerging robotic systems categorized based on the methods and technologies used, with a discussion of benefits and limitations for various specific indications. Integration of imaging, haptics, and economic considerations are also discussed. This comprehensive synthesis aims to offer insights into current capabilities, limitations, and potential future directions for researchers and engineers to advance this domain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.032 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it