AI-augmented Robotics for CAncer point of caRE

HealthHORIZON-IAID: 101137426
EC Contribution
€79,340
Consortium Size
14 orgs
Start Year
2024
Summary

Cancer in the Upper Aerodigestive Tract (UADT) is still among the leading cancer types worldwide, with both incidence rate and mortality rate constantly rising. Treatment of these diseases is by Ear-Nose-Throat (ENT) surgeons, operating with incomplete knowledge of the tumor geometry, under non-ergonomic conditions and with limited precision on fragile cancerous tissue. AIRCARE will bring clinical practice in diagnosis and surgical treatment to the next level, by introducing advanced AI and robotic technology into the clinical workflow. For diagnosis, AIRCARE will enable real-time on-the-spot AI-powered optical/electric biopsies, helping to optimize a patient-specific surgical approach. For surgery, AIRCARE will provide a more controlled and ergonomic setting. Novel robotic stabilizing and controlling tools will further allow manipulation of tissue and removal of cancer with unprecedented levels of precision. A newly developed intuitive 3D visualization will simplify the understanding of the complex surgical scene. Aside from increase of safety, quality and efficiency of the surgical procedure, also less experienced surgeons may become able to perform complex image guided treatments. Within this innovation action, our European partners spanning universities, research centers, industry and 3 hospitals, will join forces across disciplines to advance promising research prototypes into two advanced integrated systems: one for diagnosis, one for surgery, thus supporting clinicians from the detection and diagnosis of UADT diseases until their surgical treatment. Within the framework of the project, the superiority of AIRCARE technology will be demonstrated in real operational environments through three clinical studies. By doing so, we aim to demonstrate the benefits of AI and robotics to healthcare professionals and UADT patients and put the seeds to translate this technology into the next standard of care for improved clinical outcomes.

Consortium (14)

Project Results (10)

Source: CORDIS, the EU research results database.

Publications (10)
A Deep-Learning Approach for Vocal Fold Pose Estimation in Videoendoscopy
Journal of Imaging Informatics in Medicine· 2026DOI
Francesca Pia Villani, Maria Chiara Fiorentino, Lorenzo Federici, Cesare Piazza, Emanuele Frontoni, Alberto Paderno, Sara Moccia
Electrical Bioimpedance Sensing-Based Proximity Distance Estimation for Needle Interventions: Two-Layer Model and Validation
IEEE Transactions on Instrumentation and Measurement· 2026DOI
Yao Zhang, Zhuoqi Cheng, Mouloud Ourak, Thiusius Rajeeth Savarimuthu, Emmanuel Vander Poorten
Design and Characterization of a Free-Beam Laser Microsurgery System based on Rotary Voice Coil Actuators
HSMR 2025· 2025DOI
Leonardo S. Mattos, Lapo Carrieri, Alperen Acemoglu, Michele Di Lucchio
Design and Control of a Computer-Assisted Laser Microsurgery System Based on Rotary Voice Coil Actuators
IEEE Transactions on Medical Robotics and Bionics· 2025DOI
Lapo Carrieri, Michele Di Lucchio, Luca Giannoni, Alperen Acemoglu, Leonardo S. Mattos
Development of a Bioimpedance Probe for Enhanced Tissue Identification in the Upper Aerodigestive Tract
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)· 2025DOI
Marianne Viola Petersen, Thiusius Rajeeth Savarimuthu, Zhuoqi Cheng
Feasibility of electrical bio-impedance sensing for tissue discrimination to assist deep needle insertion
HSMR 2025· 2025DOI
Yao Zhang, Zhuoqi Cheng, Mouloud Ourak, Thiusius Rajeeth Savarimuthu, Emmanuel Vander Poorten
Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO
Computer Methods and Programs in Biomedicine· 2025DOI
Chiara Baldini, Lucia Migliorelli, Daniele Berardini, Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Rakesh Srivastava, Giorgio Peretti, Leonardo S. Mattos
Sex differences in laryngeal cancer treated with CO2-transoral laser microsurgery: a case-control study
European Archives of Oto-Rhino-Laryngology· 2025DOI
Isabel Vilaseca, C. Sampieri, E. Lehrer, R. D. Ramírez, J. M. Costa, I. Valduvieco, N. Basté, S. Medrano, Y. Rodriguez, A. Muxí, F. X. Avilés-Jurado, M. Bernal-Sprekelsen
Experimental Assessment of Positioning Precision During Free-Hand and Robot-Assisted Tool Manipulation in Transoral Microsurgery Model
IEEE Transactions on Medical Robotics and Bionics· 2024DOI
Sukrit Prasarnkleo, Jeroen Meulemans, Mouloud Ourak, Leonardo S. Mattos, Vincent Vander Poorten, Emmanuel Vander Poorten
A novel transoral laser microsurgery device with rotary voice-coil actuators
CRAS 2024 Proceeding
Alperen Acemoglu, Marco Cavaletti, Pierre Ceysens, and Leonardo S. Mattos