Declaration of Computational Neurosurgery.
Di Ieva A., Suero Molina E., Somerville MA., Beheshti A., Staartjes VE., Serra C., Theodore N., Elliott JM., Wesselink EO., Russo C., Pilitsis JG., Bennett CC., Wu S., Hammond FM., Lozano AM., Cusimano MD., Davidson JM., Castellano JF., Okonkwo DO., Arefan D., Lee C-C., Zanier O., Da Mutten R., Matula C., Rutka JT., Pease M., Liu S., Stummer W., Matulionyte R., Yang H., Yuwen C., Cheng X., Fan H., Wang X., Ge Z., Cepeda S., Sheehan JP., Yang JY-M., Hamer RP., Cohen-Gadol A., Hansford JR., Savage G., Sowman PF., Stewart C., Kateb B., Sherif C., Perperidis A., Guller A., Hanft S., D'Amico RS., Sav A., Cong C., Song Y., Nicolosi F., Wiedmann MKH., Barone DG., Noorani I., Magnussen J., Krieg SM., Meling TR., De Ridder D., Lawton MT., Rosenfeld JV.
Computational neurosurgery is a novel and disruptive field where artificial intelligence and computational modeling are used to improve the diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. The field aims to bring new knowledge to clinical neurosciences and inform on the profound questions related to the human brain by applying augmented intelligence, where the power of artificial intelligence and computational inference can enhance human expertise. This transformative field requires the articulation of ethical considerations that will enable scientists, engineers, and clinical neuroscientists, including neurosurgeons, to ensure that the use of such a powerful application is conducted based on the highest moral and ethical standards with a patient-centric approach to predict and prevent mistakes. This declaration is a first attempt to draw a roadmap to guide the application of practical or applied ethics to computational neurosurgery. It is intended for the use of practitioners, ethicists, and scientists using artificial intelligence to understand and treat all the pathophysiological conditions related to the human brain.