Portable medical imaging device, method of use and system

A method for imaging and evaluating biological tissue, the method being performed at a server computer and comprising:

• receiving image data of the biological tissue captured by a portable imaging device;
• performing computer-assisted diagnosis (CAD) on the image data byf machine learning or artificial intelligence processing to identify a presence of one or more abnormalities in the image data;
• based on the one or more abnormalities in the image data, making a diagnosis on the server computer;
• determining that the diagnosis is made within an acceptable confidence factor and sending the diagnosis to the portable imaging device, or
• determining that the diagnosis is not made within the acceptable confidence factor and sending the diagnosis to a human data reviewer, receiving input from the human data reviewer to accept or correct the diagnosis, and sending the diagnosis to the portable imaging device;
• and
• updating a machine learning model or an artificial intelligence model with one or more data points from the diagnosis.

A system for imaging and evaluating biological tissue, including a server computer having a memory for storing computer-readable program code and a processor for executing the computer-readable program code, the server computer comprising:

• a data receiving component for retrieving image data of the biological tissue captured by a portable imaging device;
• a computer-assisted diagnosis (CAD) component for performing CAD on the image data by machine learning or artificial intelligence processing to identify a presence of one or more abnormalities in the image data;
• a diagnosis-making component for making a diagnosis based on the presence of one or more abnormalities in the image data;
• a confidence factor determining component for determining that the diagnosis is made within an acceptable confidence factor and sending the diagnosis to the portable imaging device, or determining that the diagnosis is not made within the acceptable confidence factor and sending the diagnosis to a human data reviewer, receiving input from the human data reviewer to accept or correct the diagnosis, and sending the diagnosis to the portable imaging device;
• and
• an updating component for updating a machine learning model or an artificial intelligence model with one or more data points from the diagnosis.