Method and system for virtual surgical procedure

A computer-implemented method for providing a trained machine learning algorithm (A1) for identifying at least one pathological feature related to a medical condition of the patient (P), comprising the steps of:

• providing (S1′) a first training data set (TD1) comprising a pre-acquired first data set (DS1) of medical image data of a patient (P);
• providing (S2′) a second training data set (TD2) comprising an identified at least one pathological feature comprised by the pre-acquired first data set (DS1) of the medical image data of the patient (P) and a pre-acquired second data set (DS2) of patient medical parameters and/or natural language data related to a medical condition of the patient (P);
• and
• training (S3′) the machine learning algorithm (A1) by an optimization algorithm which calculates an extreme value of a loss function for identifying the at least one pathological feature.

A system for virtual vascular intervention, comprising:

• means for providing a pre-acquired first data set (DS1) of medical image data of a patient (P);
• means for providing a pre-acquired second data set (DS2) of patient medical parameters and/or natural language data related to a medical condition of the patient (P);
• means for generating a three-dimensional virtual model (M) of at least a portion of the body of the patient (P) based on the pre-acquired first data set (DS1) and on the pre-acquired second data set (DS2);
• means for applying a machine learning algorithm (A1) to the pre-acquired first data set (DS1) and the second data set (DS2) to identify at least one pathological feature comprised by the pre-acquired first data set (DS1) and the pre-acquired second data set (DS2), wherein the identified at least one pathological feature is indicated in the three-dimensional virtual model (M);
• means for executing a virtual vascular intervention using the generated three-dimensional virtual model (M) and a virtual surgical tool;
• and
• means for generating haptic feedback (F) to a user using operational data of the virtual vascular intervention, wherein the operational data comprises data of a position of the surgical tool within the three-dimensional virtual model (M) and/or data related to the surgical tool.