LATIDIA · Robótica
Colaboración entre el médico y la IA en neurointervenciones endovasculares: estudio in vitro del usuario de los modos de asistencia copiloto para la navegación robótica en todo el espectro de la autonomía
arXiv:2611.03446v2 Tipo de anuncio: reemplazar Resumen: La trombectomía mecánica (MT) es un tratamiento eficaz para el accidente cerebrovascular isquémico agudo, pero el acceso sigue siendo limitado por la disponibilidad de experiencia neurointervencionista. Teler
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arXiv:2611.03446v2 Announce Type: replace Abstract: Mechanical thrombectomy (MT) is an effective treatment for acute ischemic stroke, yet access remains limited by the availability of neurointerventional expertise. Telerobotic and AI-assisted systems may help address this challenge, but it remains unclear how clinicians interact with different levels of autonomy and how autonomous navigation systems perform in realistic environments. This work introduces Copilot Assistance Modes (CAMs), a framework for clinician-AI collaboration in robotic endovascular navigation spanning the autonomy spectrum from manual operation to full autonomy. In the first in-vitro user study comparing clinician-AI collaboration strategies, 11 experts and two students evaluated six navigation modes in a patient-specific vascular phantom. Objective performance metrics were