SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES IN FORENSIC PATHOLOGY
A computer-implemented method for processing electronic medical images, the method including receiving images of at least one pathology specimen, the pathology specimen being associated with a patient. The system may determine, using a machine learning system and based on the electronic medical images, at least one contributing cause of death. The system may provide at least contributing cause of death.
1 . A computer-implemented method for processing electronic medical images, comprising:
receiving a plurality of electronic medical images of at least one pathology specimen, the pathology specimen being associated with a patient;
determining, using a machine learning system and based on the electronic medical images, at least one contributing cause of death, wherein the machine learning system is trained using a plurality of electronic medical images; and
providing the at least one contributing cause of death for display to a user.
2 . The method of claim 1 , further including receiving an autopsy report and information relating to an age, ethnicity, ancillary test results, and/or an autopsy report of the patient.
3 . The method of claim 1 , further including detecting one or more salient region of each of the plurality of electronic medical images.
4 . The method of claim 3 , wherein the machine learning system only analyzes the salient regions of the plurality of electronic medical images.
5 . The method of claim 1 , wherein the machine learning system determines a numerical value score for each contributing cause of death.
6 . The method of claim 1 , further including marking the plurality of medical images to depict where evidence for the contributing cause of death is located.
7 . The method of claim 1 , wherein when more than one contributing cause of death is determined, ranking each contributing cause of death from most to least likely.
8 . The method of claim 1 , including determining and ranking which of the plurality of medical images provides the most evidence for the contributing cause of death.
9 . The method of claim 1 , including predicting, through the machine learning system, an organ that likely caused the death of the patient.
10 . The method of claim 1 , further comprising:
receiving a gross description, the gross description comprising data about the patient;
determining report metadata based on the gross description; and
wherein, the machine learning model uses the metadata and gross description, in addition to the received plurality of electronic medical images to predict a cause of death.
11 . The method of claim 1 , wherein the machine learning system outputs a vector and each place of the vector represents a potential cause of death, wherein each place of the vector represents a percent chance of a particular cause of death.
12 . A system for processing electronic medical images, the system comprising:
at least one memory storing instructions; and
at least one processor configured to execute the instructions to perform operations comprising:
receiving a plurality of electronic medical images of at least one pathology specimen, the pathology specimen being associated with a patient;
determining, using a machine learning system and based on the electronic medical images, at least on contributing cause of death, wherein the machine learning system is trained using a plurality of electronic medical images; and
providing the at least one contributing cause of death for display to a user.
13 . The system of claim 12 , further including receiving information relating to an age, ethnicity, ancillary test results, and/or an autopsy report of the patient.
14 . The system of claim 12 , further including detecting one or more salient region of each of the plurality of electronic medical images.
15 . The system of claim 14 , where the machine learning system only analyzes the salient regions of the plurality of electronic medical images.
16 . The system of claim 12 , wherein the machine learning system determines a numerical value score for each contributing cause of death.
17 . The system of claim 12 , further including marking the plurality of medical images to determine where evidence for the contributing cause of death is located.
18 . The system of claim 12 , wherein when more than one contributing cause of death is determined, ranking each contributing cause of death from most to least likely.
19 . The system of claim 12 , including determining and ranking which of the plurality of medical images provides the most evidence for the contributing cause of death.
20 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform operations processing electronic medical images, the operations comprising:
receiving a plurality of electronic medical images of at least one pathology specimen, the pathology specimen being associated with a patient;
determining, using a machine learning system and based on the electronic medical images, at least on contributing cause of death, wherein the machine learning system is trained using a plurality of electronic medical images; and
providing the at least one contributing cause of a death for display to a user.