(al 2019-1-3-1-KK-2019-00007 Innovációs szolgáltató bázis létrehozása diagnosztikai,
terápiás és kutatási célú kiberorvosi rendszerek fejlesztésére pályáz)
During the last few decades, Robot-Assisted Minimally Invasive Surgery reshaped the
standard clinical practice. It offers a number of benefits, such as lower risk of
complications for the patient and better ergonomics for the surgeon. Many believe
that the next big step in the advancement of surgery will be partial autonomy, that
may reduce the fatigue and the cognitive load on the surgeon by performing the monotonous,
time-consuming subtasks of the surgical procedure autonomously. However, due to the
complexity of the environment, the equipment and the workflow, the field of surgical
subtask automation found to be quite challenging. Although serious research efforts
are payed to this area worldwide, standard evaluation metrics or benchmarking techniques
are still not formed. This paper presents a characterization model for surgical automation,
and reviews the possible candidates for the standardized evaluation and comparison
of automated surgical subtask.
