Artificial Intelligence and Parallel Robots in the diagnosis and surgical treatment of the pancreas and esophagus (T5)

Objective: Development of solutions with European relevance in the field of oncological surgery, in the form of intelligent and adaptive robotic medical devices, capable of surpassing the current state of knowledge through a new paradigm focused on personalized and minimally invasive interventions.

Research challenges / Novelty / Innovation
• Development of a parallel robot for oncological surgery of the pancreas and esophagus (Prof. Doina Pișla’s team)
• Development of a surgical instrument with increased dexterity (Prof. Doina Pișla’s team)
• Development of intelligent algorithms for real-time analysis of the surgical field (collaboration with Prof. Tiberiu Marița’s team) – e.g., evaluation of intraoperative suture quality, detection of unforeseen events, and segmentation of anatomical structures in the surgical field
• Pancreas segmentation from radiological images with detection of tumor lesions for efficient pancreatic tumor resection (collaboration with Prof. Tiberiu Marița’s team)

Research results:
• An intelligent parallel robot for pancreatic surgery equipped with a high-dexterity instrument

Inovation:
• Intraoperative image processing and analysis systems provide the surgeon with access to critical data, increasing the precision of the intervention and the safety of the procedure. The fusion of real-time ultrasound with CT/MRI data facilitates diagnosis and highly accurate determination of resection margins.

Artificial Intelligence and Robotics in oral surgery and dental medicine (T5)

Objective: Development of a robotic solution in oral surgery and dental medicine

Research challenges / Novelty / Innovation
• Development of a robotic application for optimal implant positioning in oral surgery (Prof. Doina Pișla’s team)
• Development of 3D navigation and vision systems (Prof. Doina Pișla’s team)
• Increasing implant positioning accuracy through advanced real-time monitoring algorithms and fusion of imaging data with intraoperative data (Prof. Doina Pișla’s team)
• Segmentation of relevant structures in oral and maxillofacial surgery – CT/CBCT, e.g., parotid tumor resection (collaboration with Prof. Tiberiu Marița’s team)
• Intelligent evaluation of 3D models based on radiological data for validating reconstruction accuracy (collaboration with Prof. Adrian Groza’s team)
• Temporal analysis of tumor evolution based on imaging investigations performed at different time intervals using medical protocols, patient history, and expert knowledge (XAI – Explainable AI) (collaboration with Prof. Adrian Groza’s team)

Research results:
• An intelligent robotic system for implantology in oral surgery
• A 3D navigation and vision system

Inovation:
• Integration of 3D printing technologies for creating personalized anatomical models
• Use of advanced endoscopic techniques (FESS), making sinus surgery less invasive
• 3D navigation systems based on preoperative imaging and markers
• Virtual and augmented reality technologies integrated into 3D navigation
• Collaborative systems for guiding the endoscope or other dental instruments

Artificial Intelligence and Robotics for the medical rehabilitation of patients with neuromotor deficits of multiple causes (T5)

Objective: Development of intelligent robots for the medical rehabilitation of patients with neuromotor deficits of multiple causes

Research challenges / Novelty / Innovation
• Development of a parallel robot for lower limb rehabilitation (Prof. Doina Pișla’s team)
• Development of a parallel robot for hand rehabilitation (Prof. Doina Pișla’s team)
• Development of AI algorithms for adaptive, multimodal control and intelligent control of medical rehabilitation robots (collaboration with Prof. Lucian Bușoniu’s team)

Research results:
• An intelligent parallel robot for lower limb rehabilitation
• A customizable intelligent robot for hand rehabilitation of patients with neuromotor deficits

Inovation:
• Development of a family of robots with modular and anthropometrically adaptable design
• Multimodal neurophysiological evaluation systems enable detailed and reproducible analysis of patient progress
• Modular adaptive control based on machine learning and artificial intelligence algorithms, allowing continuous adaptation of treatment