Background and Aim: In this study we intend to build a model to evaluate the attitude of Italian doctors towards AI applications in medicine and evaluate the factors that predispose them to be more favourable to its use. Methods: A 27-item questionnaire was distributed from September 1 and October 15 2022 to physicians from different healthcare facilities and with different background, using snowball technique. Statistical analysis: First, the descriptive statistics were made. A confirmatory factor analysis was performed to reduce the items on the Aptitude for AI scale and the reliability was evaluated through the Cronbach’s alpha index. To predict the new variable, a multiple linear regression was performed. Finally, to classify the units into groups, a hierarchical and then, a non-hierarchical cluster were performed. For all tests the significance level considered was p<0.05. Analyses were conducted with Stata v16 software. Results: Globally 500 physicians fully responded; 54% men, mean age 50.53 years (SD +/-15.54), 38% of whom with more than 30 years of professional experience. The factor of AI explained 83% of the original variability and Cronbach's alpha was 0.81. The variables statistically significant in the regression model were Telemedicine, Clinical decision support system, Training and education of physician, Multi professional teams, Partnership, AI systems final supervision and Equity, with R2=0.6761. The subdivision in clusters was associated only with the type of use (X22 = 41.9499; p<0.001) and not with gender (X22 = 1.1471; pV = 0.284); area of competence (X22 = 7.0801; pV = 0.528) and professional experience (X22 = 5.7251; pV = 0.221). Conclusions: PAITA is the first study with the aim of assessing Italian doctors' attitudes toward AI and its results might represent a starting point for monitoring doctors' trust and issues regarding AI in the medical field in order to entail several future interventions.