SYNTHETIC IMAGE GENERATION
An embodiment of the invention may include a method, computer program product and computer system for the generation of synthetic images to enhance a diagnostic imaging order. The method, computer system, and computer program product may include receiving a verbal description of a clinical finding with respect to an anatomical part of a patient. The computing device may generate text from the received verbal description. The computing device may then identify a clinical finding in the text, the clinical finding describing a portion of an anatomical part of the patient at a particular location within the anatomical part. The computing device may also generate a synthetic image of the anatomical part including a mark indicating the portion at the particular location within the anatomical part of the clinical finding. Additionally, the computing device may be capable of generating a textual clinical order based on the received verbal description.
1 . A method for the generation of synthetic images to enhance a diagnostic imaging order, the method comprising:
receiving, by a computer, a verbal description of a clinical finding with respect to an anatomical part of a patient;
generating, by the computer, text from the verbal description using natural language processing;
identifying, by the computer, a clinical finding in the text, the clinical finding describing a portion of an anatomical part of the patient at a particular location within the anatomical part, and the particular location interpreted using machine learning;
generating, by the computer, a synthetic image of the anatomical part, the synthetic image including a mark indicating the portion at the particular location within the anatomical part of the clinical finding; and
generating, by the computer, a textual clinical order based on verbal description of a clinical finding.
2 . A method as in claim 1 , further comprising:
generating, by the computer, a caption for the synthetic image of the anatomical part, the caption comprising a textual description of the anatomical part and the clinical finding.
3 . The method as in claim 1 , further comprising:
generating, by the computer, a link for the synthetic image of the anatomical part in the generated textual clinical order.
4 . The method as in claim 1 , further comprising:
submitting, by the computer, the generated textual clinical order along with the synthetic image of the anatomical part to a diagnostic image specialist using a computerized provider order entry in an electronic health record system.
5 . The method of claim 1 , wherein the synthetic image of the anatomical part is a 3-dimensional image of the identified anatomical part, the identified portion of the anatomical part, and the identified clinical finding in the identified portion of the anatomical part.
6 . The method of claim 1 , wherein identifying, by the computer, the clinical finding in the identified portion of the anatomical part, further comprises:
receiving the verbal description from an examiner during an examination of the patient, the verbal description of the clinical finding describing a portion of the anatomical part in which the clinical finding is located; and
utilizing natural language processing, identifying the clinical finding within the received verbal description from the examiner
7 . A computer system for the generation of synthetic images to enhance a diagnostic imaging order comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
receiving, by a computer, a verbal description of a clinical finding with respect to an anatomical part of a patient;
generating, by the computer, text from the verbal description using natural language processing;
identifying, by the computer, a clinical finding in the text, the clinical finding describing a portion of an anatomical part of the patient at a particular location within the anatomical part, and the particular location interpreted using machine learning;
generating, by the computer, a synthetic image of the anatomical part, the synthetic image including a mark indicating the portion at the particular location within the anatomical part of the clinical finding; and
generating, by the computer, a textual clinical order based on verbal description of a clinical finding.
8 . The computer system as in claim 7 , further comprising:
generating, by the computer, a caption for the synthetic image of the anatomical part, the caption comprising a textual description of the anatomical part and the clinical finding.
9 . The computer system as in claim 7 , further comprising:
generating, by the computer, a link for the synthetic image of the anatomical part in the generated textual clinical order.
10 . The computer system as in claim 7 , further comprising:
submitting, by the computer, the generated textual clinical order along with the synthetic image of the anatomical part to a diagnostic image specialist using a computerized provider order entry in an electronic health record system.
11 . The computer system as in claim 7 , wherein the synthetic image of the anatomical part is a 3-dimensional image of the identified anatomical part, the identified portion of the anatomical part, and the identified clinical finding in the identified portion of the anatomical part.
12 . The computer system as in claim 7 , wherein identifying, by the computer, the clinical finding in the identified portion of the anatomical part, further comprises:
receiving the verbal description from an examiner during an examination of the patient, the verbal description of the clinical finding describing a portion of the anatomical part in which the clinical finding is located; and
utilizing natural language processing, identifying the clinical finding within the received verbal description from the examiner
13 . A computer program product for the generation of synthetic images to a diagnostic imaging order comprising:
one or more computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
receiving, by a computer, a verbal description of a clinical finding with respect to an anatomical part of a patient;
generating, by the computer, text from the verbal description using natural language processing;
identifying, by the computer, a clinical finding in the text, the clinical finding describing a portion of an anatomical part of the patient at a particular location within the anatomical part, and the particular location interpreted using machine learning;
generating, by the computer, a synthetic image of the anatomical part, the synthetic image including a mark indicating the portion at the particular location within the anatomical part of the clinical finding; and
generating, by the computer, a textual clinical order based on verbal description of a clinical finding.
14 . The computer program product as in claim 13 , further comprising:
generating, by the computer, a caption for the synthetic image of the anatomical part, the caption comprising a textual description of the anatomical part and the clinical finding.
15 . The computer program product as in claim 13 , further comprising:
generating, by the computer, a link for the synthetic image of the anatomical part in the generated textual clinical order.
16 . The computer program product as in claim 13 , further comprising:
submitting, by the computer, the generated textual clinical order along with the synthetic image of the anatomical part to a diagnostic image specialist using a computerized provider order entry in an electronic health record system.
17 . The computer program product as in claim 13 , wherein the synthetic image of the anatomical part is a 3-dimensional image of the identified anatomical part, the identified portion of the anatomical part, and the identified clinical finding in the identified portion of the anatomical part.
18 . The computer program product as in claim 13 , wherein identifying, by the computer, the clinical finding in the identified portion of the anatomical part, further comprises:
receiving the verbal description from an examiner during an examination of the patient, the verbal description of the clinical finding describing a portion of the anatomical part in which the clinical finding is located; and
utilizing natural language processing, identifying the clinical finding within the received verbal description from the examiner.