Work

Statistical Learning to Measure the Efficacy of Digital Surgical Workflows

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10796956

Authors: Vittorio Santoriello, Michela D'Antò, Silvia De Franciscis, Danilo Calderone, Giuseppe Cesarelli, Paolo Delrio, Maria Romano, Alfonso Maria Ponsiglione

Institutions: University of Naples Federico II, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"

Language: English

Topic: Enhanced Recovery After Surgery

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405755377

FWCI: 4.267

Cites: 17

Cited by: 1

Related to: 10