Pica Code IR-2026-033 - AIRES: A Prospective Single-Center Pilot Study of Real-Time AI-Based Semantic Segmentation for Peritoneal Carcinomatosis Detection in Patients Undergoing Robotic CRS and HIPEC

Scientific-Disciplinary Group

06/MEDS-06 - General Surgery

Description

Peritoneal carcinomatosis (PC) detection and quantification represent a critical prognostic factor in abdominal malignancies and require accurate intraoperative staging to determine the indication for, and to guide, cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). Current laparoscopic and robotic approaches remain operator-dependent and are prone to under-detection of small or occult lesions. Artificial intelligence (AI) offers a promising solution through real-time semantic segmentation, enabling standardized and pixel-level classification of intra-abdominal metastatic (IAM) lesions.

Compensation

22,500 Euro

Job posting website

https://titulus-unimore.cineca.it/albo/

Number of positions

1

Maximum duration

36.0

Funding body

Unimore

How to apply

Other

Selection process