SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES WITH UPDATED PROTOCOLS

1 . A computer-implemented method for processing electronic medical images comprising:

receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient;

receiving an external designation of the one or more digital medical images;

providing the one or more digital medical images to one or more machine learning systems, the one or more machine learning systems each having been trained to analyze medical images using one of a plurality of versions of a protocol;

determining, by the one or more machine learning systems, machine learning system designations for the one or more digital medical images; and

comparing the external designation to the machine learning system designations and, based on the comparison, determining whether the external designation matches a predetermined protocol.

2 . The method of claim 1 , wherein the predetermined protocol corresponds to a most recently determined protocol.

3 . The method of claim 1 , further including:

outputting to one or more users that the predetermined protocol was used in the external designation.

4 . The method of claim 1 , further including:

outputting whether the external designation does not match any of the machine learning system designations.

5 . The method of claim 1 , further including:

upon determining the external designation does not match the predetermined protocol, outputting the predetermined protocol to a user or external system.

6 . The method of claim 1 , further including:

outputting the protocol of the machine learning designation that most closely matches the external designation.

7 . The method of claim 1 , further including:

determining a new protocol has been developed;

updating the predetermined protocol to be the new protocol; and

training a new machine learning system based on the new protocol.

8 . A system for processing electronic medical images, the system comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to perform operations comprising:

receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient;

receiving an external designation of the one or more digital medical images;

providing the one or more digital medical images to one or more machine learning systems, the one or more machine learning systems each having been trained to analyze medical images using one of a plurality of versions of a protocol;

determining, by the one or more machine learning systems, machine learning system designations for the one or more digital medical images; and

comparing the external designation to the machine learning system designations and, based on the comparison, determining whether the external designation matches a predetermined protocol.

9 . The system of claim 8 , wherein the predetermined protocol corresponds to a most recently determined protocol.

10 . The system of claim 8 , further including:

outputting to one or more users that the predetermined protocol was used in the external designation.

11 . The system of claim 8 , further including:

outputting whether the external designation does not match any of the machine learning system designations.

12 . The system of claim 8 , further including:

upon determining the external designation does not match the predetermined protocol, outputting the predetermined protocol to a user or external system.

13 . The system of claim 8 , further including:

outputting the protocol of the machine learning designation that most closely matches the external designation.

14 . The system of claim 8 , further including:

determining a new protocol has been developed;

updating the predetermined protocol to be the new protocol; and

training a new machine learning system based on the new protocol.

15 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform operations processing electronic medical images, the operations comprising:

receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient;

receiving an external designation of the one or more digital medical images;

providing the one or more digital medical images to one or more machine learning systems, the one or more machine learning systems each having been trained to analyze medical images using one of a plurality of versions of a protocol;

determining, by the one or more machine learning systems, machine learning system designations for the one or more digital medical images; and

comparing the external designation to the machine learning system designations and, based on the comparison, determining whether the external designation matches a predetermined protocol.

16 . The computer-readable medium of claim 15 , wherein the predetermined protocol corresponds to a most recently determined protocol.

17 . The computer-readable medium of claim 15 , further including:

outputting to one or more users that the predetermined protocol was used in the external designation.

18 . The computer-readable medium of claim 15 , further including:

outputting whether the external designation does not match any of the machine learning system designations.

19 . The computer-readable medium of claim 15 , further including:

upon determining the external designation does not match the predetermined protocol, outputting the predetermined protocol to a user or external system.

20 . The computer-readable medium of claim 15 , further including:

outputting the protocol of the machine learning designation that most closely matches the external designation.