Systems and methods of using artificial intelligence and machine learning for generating an alignment plan capable of enabling the aligning of a user's body during a treatment session
Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.
1 . A method for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body, the method comprising:
generating, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
receiving treatment data, wherein the treatment data comprises a first position of the user's body while the user is engaged with a treatment apparatus, aspects of a treatment plan for the user, and one or more attributes of the user, wherein the treatment apparatus includes at least one pedal;
receiving cohort user data comprising one or more attributes of respective users associated with the cohort user data, and alignment plan data associated with alignment plans performed by the respective users associated with the cohort user data, wherein at least some of the one or more attributes of the respective users associated with the cohort user data correspond to at least some of the one or more attributes of the user in the treatment data;
generating, by the artificial intelligence engine that is configured to use the one or more machine learning models, the alignment plan, wherein the generating is based on at least the aspects of the treatment plan, at least some of the cohort user data; and at least one of the one or more attributes of the user, and wherein the alignment plan comprises a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position;
transmitting the alignment plan to a computing device;
receiving output from the computing device, wherein the output is generated by the computing device and based on at least the alignment plan; and
adjusting, based on the output from the computing device, at least one aspect of the treatment apparatus.
2 . The method of claim 1 , wherein the first position of the user's body is received from at least one selected from the group consisting of a camera, a RADAR sensing system, a LIDAR sensing system, an acoustic sensing system, a thermal sensing system, an ultrasonic sensing system, and a goniometer.
3 . The method of claim 1 , wherein adjusting the at least one aspect of the treatment apparatus complies with one or more operating parameters specified in the alignment plan.
4 . The method of claim 3 , wherein the computing device comprises a clinical portal of a healthcare professional, and wherein, during a telemedicine session, the one or more control signals are transmitted in real-time or near real-time from the computing device to the treatment apparatus.
5 . The method of claim 1 , further comprises presenting, to the user on a user portal associated with the computing device, one or more communications included in the one or more elements of the alignment plan, and wherein the one or more communications comprise at least one selected from the group consisting of a visual communication, a tactile communication, and an acoustic communication.
6 . The method of claim 5 , wherein the user is configured to be positioned on a user support apparatus, and wherein the one or more communications comprise directions for adjusting one or more portions of the user support apparatus.
7 . The method of claim 6 , wherein the one or more portions of the user support apparatus comprise at least one selected from the group consisting of a seatback, a seat rest, an armrest, a harness, a balance board, and a footrest.
8 . The method of claim 5 , further comprising transmitting, in real-time or near real-time during a telemedicine session in which a clinical portal of a healthcare professional is engaged, the alignment plan to be presented on the clinical portal of the healthcare professional.
9 . The method of claim 1 , further comprising generating, on a user interface, an instance of a virtual representation of the user's body, wherein the instance is enabled to characterize, in real-time or near real-time, a current position of the user's body.
10 . A system for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body, the system comprising:
a memory device for storing instructions; and
a processing device communicatively coupled to the memory device, the processing device configured to execute the instructions to:
generate, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
receive treatment data, wherein the treatment data comprises a first position of the user's body while the user is engaged with a treatment apparatus, aspects of a treatment plan for the user, and one or more attributes of the user, wherein the treatment apparatus includes at least one pedal;
receive cohort user data comprising one or more attributes of respective users associated with the cohort user data, and alignment plan data associated with alignment plans performed by the respective users associated with the cohort user data, wherein at least some of the one or more attributes of the respective users associated with the cohort user data correspond to at least some of the one or more attributes of the user in the treatment data;
generate, by the artificial intelligence engine that is configured to use the one or more machine learning models, the alignment plan, wherein the generating is based on at least the aspects of the treatment plan, at least some of the cohort user data, and at least one of the one or more attributes of the user, and wherein the alignment plan comprises a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position;
transmit the alignment plan to a computing device;
receive output from the computing device, wherein the output is generated by the computing device and based on at least the alignment plan; and
adjust, based on the output from the computing device, at least one aspect of the treatment apparatus.
11 . The system of claim 10 , wherein, to receive the first position of the user's body, the processing device is further configured to execute the instructions to receive the first position of the user's body from at least one selected from the group consisting of a camera, a RADAR sensing system, a LIDAR sensing system, an acoustic sensing system, a thermal sensing system, an ultrasonic sensing system, and a goniometer.
12 . The system of claim 10 , wherein adjusting the at least one aspect of the treatment apparatus complies with one or more operating parameters specified in the alignment plan.
13 . The system of claim 12 , wherein the computing device comprises a clinical portal of a healthcare professional, and wherein, during a telemedicine session, the one or more control signals are transmitted in real-time or near real-time from the computing device to the treatment apparatus.
14 . The system of claim 10 , wherein the computing device comprises a user portal of the user, wherein the user portal is configured to present, to the user, one or more communications included in the one or more elements of the alignment plan, and wherein the one or more communications comprise at least one selected from the group consisting of a visual communication, a tactile communication, and an acoustic communication.
15 . The system of claim 14 , wherein the user is configured to be positioned on a user support apparatus, and wherein the one or more communications comprise directions for adjusting one or more portions of the user support apparatus.
16 . The system of claim 15 , wherein the one or more portions of the user support apparatus comprise at least one selected from the group consisting of a seatback, a seat rest, an armrest, a harness, a balance board, and a footrest.
17 . The system of claim 14 , wherein the processing device is further configured to execute the instructions to transmit, in real-time ore near real time during a telemedicine session in which a clinical portal of a healthcare professional is engaged, the alignment plan to be presented on the clinical portal of the healthcare professional.
18 . The system of claim 10 , wherein the processing device is further configured to execute the instructions to generate, on a user interface, an instance of a virtual representation of the user's body, wherein the instance is enabled to characterize, in real-time or near real-time, a current position of the user's body.
19 . A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:
generate, by an artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
receive treatment data, wherein the treatment data comprises a first position of a user's body while the user is engaged with a treatment apparatus, aspects of a treatment plan for the user, and one or more attributes of the user, wherein the treatment apparatus includes at least one pedal;
receive cohort user data comprising one or more attributes of respective users associated with the cohort user data, and alignment plan data associated with alignment plans performed by the respective users associated with the cohort user data, wherein at least some of the one or more attributes of the respective users associated with the cohort user data corresponds to at least some of the one or more attributes of the user in the treatment data;
generate, by the artificial intelligence engine that is configured to user the one or more machine learning models, an alignment plan, wherein the generating is based on at least the aspects of the treatment plan, at least some of the cohort user data, and at least one of the one or more attributes of the user, and wherein the alignment plan comprises a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position;
transmit the alignment plan to a computing device;
receive output from the computing device, wherein the output is generated by the computing device and based on at least the alignment plan; and
adjust, based on the output from the computing device, at least one aspect of the treatment apparatus.
20 . The computer-readable medium of claim 19 , wherein, to receive the first position of the user's body, the processing device is further configured to execute the instructions to receive the first position of the user's body from at least one selected from the group consisting of a camera, a RADAR sensing system, a LIDAR sensing system, an acoustic sensing system, a thermal sensing system, an ultrasonic sensing system, and a goniometer.