Project Summary (FAST-Tx)
Seance of wednesday 11 march 2026 (Chirurgie 4.0 : IA et technologies intelligentes Surgery 4.0: AI & Smart Technologies)
DOI number : 10.26299/8aw6-r918/2026.11.02
Abstract
Patients with suspected pulmonary nodules frequently experience fragmented diagnostic and therapeutic pathways, resulting in delays between lesion detection, diagnosis, and surgical treatment. The FAST-Tx (Fast Analysis and Surgical Treatment – Thorax) project aims to redesign this pathway through an integrated, technology-enabled patient-centered approach.
FAST-Tx proposes a novel single-session strategy, in which diagnostic bronchoscopy, real-time tissue assessment, and minimally invasive thoracic surgery are performed during the same procedure and under a single general anesthesia. This integrated workflow combines robotic bronchoscopy, advanced intraoperative imaging, 3D lung modelling, and robot-assisted thoracic surgery. In addition, emerging digital tools - including digital lung twin modelling and, high-resolution tissue imaging - will support precise localization, rapid diagnosis, and informed surgical decision-making.
The project will evaluate the feasibility, safety, and clinical impact of this accelerated pathway, with a particular focus on reducing the time from suspicion to treatment while improving patient experience and care efficiency. By integrating robotics, artificial intelligence, and advanced imaging, FAST-Tx embodies the paradigm of Surgery 4.0, aiming to deliver faster, more precise, and patient-centered thoracic oncology care.
FAST-Tx proposes a novel single-session strategy, in which diagnostic bronchoscopy, real-time tissue assessment, and minimally invasive thoracic surgery are performed during the same procedure and under a single general anesthesia. This integrated workflow combines robotic bronchoscopy, advanced intraoperative imaging, 3D lung modelling, and robot-assisted thoracic surgery. In addition, emerging digital tools - including digital lung twin modelling and, high-resolution tissue imaging - will support precise localization, rapid diagnosis, and informed surgical decision-making.
The project will evaluate the feasibility, safety, and clinical impact of this accelerated pathway, with a particular focus on reducing the time from suspicion to treatment while improving patient experience and care efficiency. By integrating robotics, artificial intelligence, and advanced imaging, FAST-Tx embodies the paradigm of Surgery 4.0, aiming to deliver faster, more precise, and patient-centered thoracic oncology care.