System and method for providing a computer aided medical diagnostic over a network

• US 20080140708A1
• Filed: 01/31/2003
• Published: 06/12/2008
• Est. Priority Date: 01/31/2002
• Status: Abandoned Application

• Current Assignee: Oren Fuerst, Tzameret Fuerst
• Original Assignee: Oren Fuerst, Tzameret Fuerst
• Inventors: Fuerst, Tzameret, Fuerst, Oren
• Application Number:
  US10/355,091
• Publication Number:
  US 20080140708A1
• Time in Patent Office: Days
• US Class Current: 707/104.1
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

The present invention relates to a method for improving the quality of diagnosis accuracy of diseases using remote analysis of images. Data including a medical image is being sent to a data center where an analysis is conducted to compare the digital image and additional information with a data base that includes the characteristics of a suspected image, based on a learning path of previously diagnoses maligned and benign images. A predictive probability is the result of the process, and is being sent to the patient and to his or her healthcare provider.

Predictive probabilities are then compared over time with actual results over time and are being used to improve the algorithms providing the predictive probabilities.

Claims

1. A medical system comprising:

at least one source of an optical or digital image of an examination subject;

a computer for processing said image and for entering additional patient-related data;

a communication system connected to said computer for transmitting said medical image and said patient-related data to a location remote from said work station;

a storage unit connected to said communication system for storing said medical image and said additional patient data;

a computer software to determine the level of similarity between said image and additional patient-related data to the characterization of specific diseases and additional historical and current information;

a computer program to determine the probability that the patient has a disease characterized by the computer software;

a computer program to report the results and store them;

2. Thee method of claim 2 wherein the computer software also compare the above forecasts with forecasts made by other means and to actual future realizations and to calibrate the above computer program to prior misclassifications;

3. A method for using a computer to facilitate a computer aided diagnosis, comprising:

inputting into an input device at least one digital image;

inputting into the computer of an identifier specifying a patient account, the identifier being associated with a digital image from a patient body;

outputting the digital image to at least one computer system after receiving the identifier;

inputting into the computer a computerized diagnosis based on the digital image, and;

providing the sender the diagnosis using the patient identifier.

4. A method for providing a predictive probability of a patient having a disease, comprising the steps of:

receiving on a local computer a patient information signal by a central facility system means, the patient information package being related to a selected patient and composed of a plurality of information sources, including at least one medical image;

transmitting the patient information package over a network into the central computer system;

assigning a predictive probability to the patient information package by a computer program at the central computer based on at least one component of the patient information package, a disease to be diagnosed, a database of risk factors of that disease, computed or manually extracted from a database containing a plurality of previously obtained individualized patient information records;

transmitting the patient predictive probability signal to a local computer means;

5. The method of claim 4 wherein the patient predictive probability is provided along with a corresponding recommendation signal by the central facility system that is based on the association of the predictive probability and a table of recommendations.

6. the method of claim 4 wherein the predictive probability is sent to the patient