1. A system for identifying errors in medical data, the system comprising: a processor; a memory containing one or more modules, wherein the one or more modules, when executed, cause the processor to: receive medical data comprising a report and an image; analyze the report using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes diagnostic information corresponding to the condition; generate an image analysis by analyzing the image using an image processing model; and determine whether the report has a potential problem by comparing the criterion to the image analysis.
1. A system for identifying errors in medical data, the system comprising: a processor; a memory containing one or more modules, wherein the one or more modules, when executed, cause the processor to: receive medical data comprising a report and an image; analyze the report using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes diagnostic information corresponding to the condition; generate an image analysis by analyzing the image using an image processing model; and determine whether the report has a potential problem by comparing the criterion to the image analysis. 4. The system of claim 1 , wherein the one or more modules, when executed, further cause the processor to: perform, prior to analyzing the report using natural language processing, optical character recognition on the report.