Assessment of Knowledge and Perceptions of Artificial Intelligence in Solid Organ Transplantation

Overview

The increasing abundance of clinical, genetic, radiological, and metabolic data in transplantation has led to a growing interest in applying artificial intelligence (AI) tools to optimize immunosuppression and overall patient management. However, the majority of these applications exist only in the preclinical state and the field of artificial intelligence remains unknown to the general public. In view of the potential applications of AI and the growing research interest in this topic, it is essential to assess the knowledge and perceptions of those directly involved in solid organ transplantation. Primary Objective: To assess the knowledge and perceptions of solid organ transplant patients and healthcare professionals working in the field of solid organ transplantation Primary endpoint: * Analysis of verbatim and closed-ended questionnaire data * Comparison of the averages obtained by the subgroups of patients and health professionals and analysis of the verbatim by grouping them by themes

Solid organ transplantation is the treatment of last resort for end-stage organ disease. In France, 51860 patients receive transplants, and the number of candidates awaiting transplantation has doubled in 10 years. At the same time as considerable progress has been made in recent decades, new challenges have emerged. The growing disparity between demand and supply of organs calls for optimal selection and matching of patients and donors. Improving long-term graft and patient survival requires data-driven diagnosis and management of post-transplant complications. The increasing abundance of clinical, genetic, radiological and metabolic data in transplantation has led to growing interest in applying artificial intelligence (AI) tools to optimize immunosuppression and overall patient management. However, the majority of these applications are still in the pre-clinical stage, and the field of artificial intelligence remains largely unknown to the general public. In view of the potential applications of AI and the growing research interest in the subject, it is essential to assess the knowledge and perceptions of those directly involved in solid organ transplantation. This is a prospective, observational, multicenter study. The questionnaire will be submitted face-to-face to healthcare professionals working in solid organ transplantation and solid organ transplant patients at Grenoble Alpes University Hospital. It will be put online on the LimeSurvey platform and offered to healthcare professionals at France's various transplant centers via the federations of each organ specialty, as well as to all organ transplant patients in France via patient associations. The data included will be collected from paper questionnaires and online on the LimeSurvey platform. They will be stored on a secure server at the TIMC research laboratory department. Data will be anonymized for inclusion in the database. An identifier will be assigned to each volunteer at the time of inclusion. Categorical data will be reported as frequency, percentage, and continuous data as mean and standard deviation or median and interquartile range if they do not follow a normal distribution. The normality of quantitative variables will be tested by graphical verification. Continuous variables will be compared using a Student's t test if the conditions of application are valid (or Mann-Whitney if applicable). Categorical variables will be compared using a Chi2 test (or Fisher's test if validity conditions are not met). We consider p values \<0.05 to be significant. Statistical analysis will be carried out using RStudio software (version 4.2.1).