Methods and systems for predicting a diagnosis of musculoskeletal pathologies

A clinical decision support system for predicting a diagnosis of musculoskeletal pathologies, the clinical decision support system comprising:

• a communication device configured for:
• transmitting a plurality of questions associated with a musculoskeletal system of a body to at least one first device, wherein the plurality of questions is formulated based on an affected region of the body;
• receiving a plurality of responses corresponding to the plurality of questions from the at least one first device, wherein the plurality of responses comprises at least one indication of a symptom associated with at least one portion of the body;
• and
• transmitting a prediction to at least one second device;
• a processing device communicatively coupled with the communication device, wherein the processing device is configured for:
• analyzing the plurality of responses based on a knowledge repository;
• and
• generating the prediction of a diagnosis of at least one musculoskeletal pathology using at least one machine learning model based on the analyzing;
• and
• a storage device communicatively coupled with the processing device, wherein the storage device is configured for retrieving the knowledge repository;
• wherein the at least one first device comprises at least one imaging sensor, wherein the at least one imaging sensor is configured for generating at least one body layout data of the body, wherein the at least one body layout data comprises at least one of a position and an orientation of at least one element of the musculoskeletal system, wherein the plurality of responses comprises the at least one body layout data;
• wherein the at least one body layout data comprises at least one reference point indication and at least two selected point indications;
• wherein the processing device is further configured for:
• identifying at least one reference point and at least two selected points of the musculoskeletal system based on the analyzing, wherein the at least one reference point and the at least two selected points comprises the at least one element;
• and
• determining an angle between the at least two selected points using the at least one reference point based on the analyzing and the identifying, wherein the generating of the prediction of the diagnosis is based on the determining of the angle.