Network for medical image analysis, decision support system, and related graphical user interface (GUI) applications

A method comprising performing, by a processor of a server computing device, said processor a processor of a cloud-based system, (i) to (iv) as follows:

• (i) receiving and storing, by the processor, a plurality of medical images in a database, each medical image associated with a corresponding patient;
• (ii) accessing, by the processor, one or more of the medical images associated with a particular patient from the database upon user request for transmission to the user for display on a user computing device;
• (iii) automatically analyzing, by the processor, the one or more medical images using a machine learning algorithm;
• and
• (iv) generating, by the processor, a radiologist report for the particular patient according to the one or more medical images for the patient,
• wherein the plurality of medical images comprise a whole-body scan of a first patient made with a gamma camera following administration to the first patient of an imaging agent comprising technetium 99m methylenediphosphonate (99mTc MDP).

A method for tracking prostate cancer progression and treatment efficacy over time, for one or more patient(s), the method comprising:

• (a) repeatedly receiving and storing in a database, over time, by a processor of a computing device, said processor a processor of a cloud-based system, a plurality of medical images for each of the one or more patient(s) to obtain, for each of the one or more patient(s), a series of medical images taken over time;
• (b) for each of the one or more patient(s), automatically analyzing, by the processor, using a machine learning algorithm, the series of medical images for the patient to determine values of one or more risk indices for each medical image of the series, thereby tracking determined values of the one or more risk indices over a course prostate cancer progression and treatment for the patient;
• and
• (c) for each of the one or more patient(s), storing, by the processor, the determined values of the one or more risk indices for the patient for further processing or causing, by the processor, display of a graphical representation of the determined values of the one or more risk indices for the patient,
• wherein the plurality of medical images comprise a whole-body scan of a first patient made with a gamma camera following administration to the first patient of an imaging agent comprising technetium 99m methylenediphosphonate (99mTc MDP).

A cloud-based system for tracking prostate cancer progression and treatment efficacy over time, for one or more patient(s), the system comprising:

• a processor of the cloud-based system;
• and
• a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
• (a) repeatedly receive and store in a database, over time, a plurality of medical images for each of the one or more patient(s) to obtain, for each of the one or more patient(s), a series of medical images taken over time;
• (b) for each of the one or more patient(s), automatically analyze, using a machine learning algorithm, the series of medical images for the patient to determine values of one or more risk indices for each medical image of the series, thereby tracking determined values of the one or more risk indices over a course prostate cancer progression and treatment for the patient;
• and
• (c) for each of the one or more patient(s), store the determined values of the one or more risk indices for the patient for further processing or cause display of a graphical representation of the determined values of the one or more risk indices for the patient,
• wherein the plurality of medical images comprise a whole-body scan of a first patient made with a gamma camera following administration to the first patient of an imaging agent comprising technetium 99m methylenediphosphonate (99mTc MDP).