Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation

Table 1 Demographic and professional experience details of study participants, n (%)

Variable	Total (n = 11)
Gender
Male	7 (64)
Age (minimum-maximum, mean ± SD)	31-61, 42 ± 9
Nationality
Egypt	6 (55)
Italy	2 (18)
Belgium	1 (9)
Greece	1 (9)
Netherlands	1 (9)
Country you are currently working
Egypt	4 (36)
Italy	2 (18)
Belgium	1 (9)
Greece	1 (9)
Kuwait	1 (9)
Netherlands	1 (9)
United Kingdom of Great Britain and Northern Ireland	1 (9)
Type of practice in organ transplantation
Public only	8 (73)
Both (public and private)	3 (27)
Solid organ transplant expertise specific data
Transplant nephrologist	4 (36)
Transplant ethics/social support	2 (18)
Transplant hepatobiliary surgeon	2 (18)
Transplant pathologist	1 (9)
Transplant coordinator	1 (9)
Transplant hepatologist	1 (9)
Years of experience (solid organ transplantation specific experience)
< 5 years	2 (18)
5-10 years	2 (18)
10-15 years	3 (27)
15-20 years	2 (18)
> 20 years	2 (18)
Approximate number of transplant cases you were involved in (assessed) within your career in solid organ transplantation
< 50 transplant cases	5 (45.5)
100-150 transplant cases	1 (9)
> 200 transplant cases	5 (45.5)
Type of solid organ transplantation you were involved in within your institution
Live only	6 (55)
Cadaveric only	1 (9)
Both	4 (36)
Size of solid organ transplantation within your current workplace (institution) = average number of cases/year (minimum-maximum, median)	10-350, 117
In your current workplace/health system, who is responsible for recommending the matching donor
Patient living related/ unrelated donor	6 (55)
A country wide/geographical system	5 (45)
In your current workplace/health system, the donor recipient matching process is done through
Criteria based on clinical scores	5 (45)
An authority managed on a central level of specific geographical area	2 (18)
An authority managed on a central level of specific geographical area, criteria based on clinical scores	2 (18)
An authority managed on a central level of specific geographical area, criteria based on clinical scores, predictive model	1 (9)
Predictive model	1 (9)
In your current workplace/health system, who is responsible for the final decision for accepting potential donor
Surgeon/ physician	7 (64)
MDT of related specialties	4 (36)

MDT: Multi-disciplinary team.