Abstract: An automated method for screening and preventing unnecessary medical/surgical procedures, comprising: retrieving medical/surgical procedures data from external and internal sources; computerizing a dynamic questioner with complex relations between questions and answers and a different impact for each answer in the context of the specific scenario and procedure by using experts input, latest research, statistics and machine learning modules; receiving from a user a request to provide a recommendation for a given medical/surgical procedure; providing a customized dynamic questionnaire to said user; computing a relative indication according to said answer's relative importance and impact on the decision to conduct said medical/surgical procedure; and generating a specific output for said user based on said medical/surgical procedure and the relative impact, including a relative indication for said medical/surgical procedure.

Abstract: An automated method of creating synthetic and/or semi-synthetic medical files database for machine learning tasks, comprising: retrieving medical data from external sources; extracting information from the medical data; generating at least one first scenario comprising a plurality of medical factors using the medical data and a rules engine; receiving at least one contradiction marking; updating the rules engine; generating at least one second scenario comprising a plurality of medical factors using the medical data and the updated rules engine; and determining at least one medical procedure recommendation according to the at least one second scenario.

Abstract: An automated method for screening and preventing unnecessary medical/surgical procedures, comprising: retrieving medical/surgical procedures data from external and internal sources; computerizing a dynamic questioner with complex relations between questions and answers and a different impact for each answer in the context of the specific scenario and procedure by using experts input, latest research, statistics and machine learning modules; receiving from a user a request to provide a recommendation for a given medical/surgical procedure; providing a customized dynamic questionnaire to said user; computing a relative indication according to said answer's relative importance and impact on the decision to conduct said medical/surgical procedure; and generating a specific output for said user based on said medical/surgical procedure and the relative impact, including a relative indication for said medical/surgical procedure.