Systems and processes for improving medical diagnoses

A computer implemented medical imaging and analysis system, comprising:

• a medical imaging hardware device;
• a medical imaging software application;
• and an artificial intelligence (AI) engine in data communication with the data storage and coupled to an application programming interface (API) that enables transmission of real time data through the communication interface;
• and
• wherein the medical imaging hardware device is configured to generate raw medical image data;
• wherein the medical imaging software application is configured:
• process the raw medical image data, and generate a second processed raw medical image file;
• and
• transmit the raw medical image data and the processed raw medical image file to the AI engine;
• wherein the AI engine is configured to:
• identify a normalization factor based on the raw medical image data;
• normalize the processed raw medical image file using the normalization factor;
• compare the normalized processed raw medical image file with at least one other processed raw medical image file, and subtract the difference between the normalized processed raw medical image file and the at least one other processed raw medical image file;
• generate and display in a graphical user interface of a device, a graphical representation of the difference by the imaging and analysis system
• wherein the processed raw medical image is normalized using a point spread function associated with the medical imaging hardware device.

A non-transitory computer-accessible medium having stored thereon computer-executable instructions for medical imaging and analysis, wherein the computer arrangement comprises an artificial intelligence (AI) engine, a medical imaging hardware device, and a medical imaging software application and is configured to perform procedures comprising:

• generating raw medical image data from the medical imaging hardware device;
• processing the raw medical image data, and generating a processed raw medical image file by the medical imaging software application;
• transmitting the processed raw medical image file and imaging detail data by the medical imaging software application;
• identifying a normalization factor based on the imaging detail data by the AI engine;
• normalizing the processed raw medical image file using the normalization factor by the AI engine;
• comparing the normalized processed raw medical image file with at least one other processed medical image file, and subtracting the difference between the normalized processed medical image file with the at least one other processed medical image file by the AI engine;
• and
• generating and displaying in a graphical user interface of a device, a graphical representation of the difference
• wherein the normalizing comprises using a point spread function associated with the medical imaging hardware device.

A computer implemented method for medical imaging and analysis, comprising:

• generating raw medical image data from a medical imaging hardware device;
• processing the raw medical image data, and generating a processed raw medical image file;
• transmitting the processed raw medical image file and imaging detail data;
• identifying a normalization factor based on the imaging detail data;
• normalizing the processed raw medical image file using the normalization factor;
• comparing the normalized processed raw medical image file with at least one other processed medical image file, and subtracting the difference between the normalized processed raw medical image file with the at least one other processed medical image file;
• and
• generating and displaying in a graphical user interface of a device, a graphical representation of the difference by the imaging and analysis system;
• wherein the method further comprises
• generating a training data set comprising of processed medical image files and associated medical information data from a plurality of patients with a medical issue type;
• training a predictive model using the training data set to determine at least one health prediction;
• wherein the associated medical information includes health behavior data, and wherein the predictive model determines at least one behavior modification suggestion.

A computer implemented medical imaging and analysis system, comprising:

• a medical imaging hardware device;
• a medical imaging software application;
• and an artificial intelligence (AI) engine in data communication with the data storage and coupled to an application programming interface (API) that enables transmission of real time data through the communication interface;
• and
• wherein the medical imaging hardware device is configured to generate raw medical image data;
• wherein the medical imaging software application is configured:
• process the raw medical image data, and generate a processed raw medical image file;
• and
• transmit the raw medical image data and the processed raw medical image file to the AI engine;
• wherein the AI engine is configured to:
• identify a normalization factor based on the raw medical image data;
• normalize the processed raw medical image file using the normalization factor;
• compare the normalized processed raw medical image file with at least one other processed raw medical image file, and subtract the difference between the processed raw medical image file and the at least one other processed raw medical image file;
• generate and display in a graphical user interface of a device, a graphical representation of the difference by the imaging and analysis system;
• wherein the AI engine is further configured to:
• generate a training data set comprising of processed medical image files and associated medical information data from a plurality of patients with a medical issue type;
• train a predictive model using the training data set to determine at least one health prediction;
• wherein the associated medical information includes health behavior data, and wherein the predictive model is further configured to determine at least one behavior modification suggestion.