SYSTEMS AND METHODS FOR REMOTELY-ENABLED IDENTIFICATION OF A USER INFECTION

1 . A system for identifying a condition of a user, the system comprising:

an electromechanical machine configured to be manipulated by the user for;

an interface communicably coupled to the electromechanical machine;

a processing device and a memory communicatively coupled to the processing device, and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to:

receive, from one or more sensors, one or more sensor inputs representative of one or more of characteristics pertaining to an anatomical structure of the user;

calculate an infection probability based on the one or more characteristics of the anatomical structure; and

output, to the interface, a representation of the infection probability.

2 . The system of claim 1 , wherein the processing device is further configured to identify, one or more characteristics associated with the anatomical structure that is diseased.

3 . The system of claim 2 , wherein the processing device is further configured to diagnose, based on the one or more characteristics, a presence of the disease and wherein the infection probability correlates with the probability of the disease being diagnosed by a medical professional.

4 . The system of claim 3 , wherein the processing device is further configured to output, to the interface, a recommendation for a treatment plan based on at least one of the infection probability and the diagnosis.

5 . The system of claim 1 , wherein the interface is configured to present at least one of an image or an audible or tactile signal representative of the infection probability.

6 . The system of claim 1 , wherein the processing device is further configured to:

selectively identify a threshold infection probability; and

selectively identify the infection probability being at least equal to the threshold infection probability.

7 . The system of claim 6 , wherein the interface is associated with one or more of the electromechanical machine and a medical professional.

8 . The system of claim 6 , wherein the processing device is further configured to output, to the interface, a recommendation for one or more of a medication, a treatment plan, and a visit with a medical professional.

9 . The system of claim 8 , wherein the visit comprises a telemedicine-enabled appointment, the telemedicine-enabled appointment characterized by the medical professional and the user not being in direct physical proximity to each other.

10 . The system of claim 1 , wherein the infection probability pertains to a disease and the disease is defined as an infection related to one of a surgical site or injury of the anatomical structure.

11 . The system of claim 1 , wherein the processing device is further configured to:

receive, from the interface, one or more inputs; and

generate, based on one or more of the one or more inputs and the one or more sensor inputs, the infection probability.

12 . The system of claim 11 , wherein the one or more inputs comprise one or more of an indication, associated with the user, of a pressure, a pain level, discoloration of a structure, and a mobility of a structure.

13 . The system of claim 1 , wherein the one or more characteristics are defined as one or more etiological characteristics, and the processing device is further configured to generate the infection probability based on the one or more etiological characteristics.

14 . The system of claim 13 , wherein the one or more etiological characteristics comprise at least one of a procedure or injury associated with the structure.

15 . The system of claim 1 , wherein the one or more sensor inputs comprises one or more of temperature information, pressure information, discoloration information, image information, vital sign information, or measurement information.

16 . The system of claim 1 , wherein the processing device is further configured to:

generate, from the one or more characteristics, a baseline characteristic and a disease characteristic; and

generate the infection probability based on the one or more characteristics, the baseline characteristic and the disease characteristic.

17 . The system of claim 16 , wherein the baseline characteristic represents a state of the anatomical structure without the disease characteristics.

18 . A method for identifying a condition, the method comprising:

receiving, from one or more sensors, one or more sensor inputs representative of one or more of characteristics of a user;

determining an infection probability based on the one or more characteristics of the user; and

outputting, to an interface, a representation of the infection probability.

19 . The method of claim 18 , further comprising identifying one or more characteristics associated with a diseased anatomical structure.

20 . A system for identifying a condition of a user, the system comprising:

an electromechanical machine configured to be manipulated by the user;

a processing device and a memory communicatively coupled to the processing device and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to:

receive, from one or more sensors, one or more sensor inputs representative of one or more of characteristics pertaining to an anatomical structure of the user,

generate, from the one or more characteristics, a baseline characteristic and a disease characteristic;

generate an infection probability based on the one or more characteristics, the baseline characteristic and the disease characteristic.