# US 2022/0037019 A1 · Medical scan artifact detection system and methods for use therewith > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2022/0037019 A1 - Document ID: US20220037019A1 - Status: Published application - Kind: A1 - Application number: 16/941,686 - Filed: 2020-07-29 - Published: 2022-02-03 - Earliest claimed: 2020-07-29 - Assignees: Enlitic, Inc. - Applicants: Enlitic, Inc. - Inventors: Ben Covington; Kevin Lyman; Anthony Upton - Web page: https://patentgrep.com/patent/US20220037019A1 ## CPC - G06T 7/0016: {involving temporal comparison} - G06F 3/04842: Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) - G06N 3/0464: Convolutional networks [CNN, ConvNet] - G06N 3/084: Backpropagation, e.g. using gradient descent - G06N 3/09: Supervised learning - G06N 3/098: Distributed learning, e.g. federated learning - G06N 5/04: Inference or reasoning models - G06N 20/00: Machine learning - G06T 7/0012: {Biomedical image inspection} - G06T 7/62: of area, perimeter, diameter or volume - G16H 15/00: ICT specially adapted for medical reports, e.g. generation or transmission thereof - G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS - G16H 30/40: for processing medical images, e.g. editing - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - G06N 3/045: Combinations of networks - G06T 2207/20081: Training; Learning - G06T 2207/20084: Artificial neural networks [ANN] - G06T 2207/30096: Tumor; Lesion - G06T 2207/30168: Image quality inspection - H04L 67/12: specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract A medical scan artifact detection system is operable to receive a medical scan of a patient. Artifact detection data is generated by executing an artifact detection function on the medical scan, where the artifact detection data indicates at least one artifact detected in the medical scan that includes a motion artifact or a nipple shadow. A notification is generated for display via a display device, where the notification indicates the at least one artifact. ## Claims ### Claim 1 A medical scan viewing system, comprising: a network interface; a processing system that includes a processor; and a memory device that stores executable instructions that, when executed by the processing system, configure the processor to perform operations comprising: receiving, via the network interface, a medical scan from a medical picture archive system; presenting image data associated with the medical scan for display via an interactive user interface that facilitates generation of an annotated medical scan associated with the medical scan and a report data associated with the medical scan; generating abnormality data for the medical scan by performing an inference function that utilizes a computer vision model, wherein the abnormality data indicates at least one abnormality is present in the medical scan, wherein the computer vision model is trained on a plurality of training medical images; retrieving guideline data from a resource database, the guideline data indicating diagnosis guidelines associated with the at least one abnormality present in the medical scan; and presenting the abnormality data and the guideline data for display via the interactive user interface in conjunction with the medical scan. ### Claim 2 (depends on 1) The medical scan viewing system of claim 1, wherein the abnormality data identifies the at least one abnormality and further includes parameter data associated with the at least one abnormality. ### Claim 3 (depends on 2) The medical scan viewing system of claim 2, wherein the guideline data is generated to apply the diagnosis guidelines to the at least one abnormality, based on the parameter data associated with the at least one abnormality. ### Claim 4 (depends on 3) The medical scan viewing system of claim 3, wherein the guideline data indicates the parameter data associated with the at least one abnormality. ### Claim 5 (depends on 4) The medical scan viewing system of claim 4, wherein the guideline data includes sample text for inclusion in the report data, and wherein the interactive user interface prompts a user to selectively and automatically include the sample text in the report data or selectively not include the sample text in the report data. ### Claim 6 (depends on 1) The medical scan viewing system of claim 1, wherein the operations further comprise: retrieving guideline recitations from the resource database associated with the at least one abnormality, wherein the guideline recitations include treatment plans based on a plurality of parameters of the at least one abnormality. ### Claim 7 (depends on 6) The medical scan viewing system of claim 6, wherein the guideline recitations associated with the at least one abnormality, are presented for display via the interactive user interface in response to user election to display the guideline recitations. ### Claim 8 (depends on 1) The medical scan viewing system of claim 1, wherein the operations further comprise: retrieving one or more publications from the resource database associated with the at least one abnormality; wherein the one or more publications associated with the at least one abnormality, are presented for display via the interactive user interface in response to user election to display the one or more publications. ### Claim 9 (depends on 1) The medical scan viewing system of claim 1, wherein the abnormality data and the guideline data are presented for display via the interactive user interface in response to user selection of the at least one abnormality in image data associated with the medical scan. ### Claim 10 (depends on 1) The medical scan viewing system of claim 1, wherein image data associated with the medical scan, the abnormality data and the guideline data are automatically presented for display via the interactive user interface, in response to user selection of the medical scan for review. ### Claim 11 A method for execution by medical scan viewing system that includes at least one processor, comprising: receiving, via the network interface, a medical scan from a medical picture archive system; presenting image data associated with the medical scan for display via an interactive user interface that facilitates generation of an annotated medical scan associated with the medical scan and a report data associated with the medical scan; generating abnormality data for the medical scan by performing an inference function that utilizes a computer vision model, wherein the abnormality data indicates at least one abnormality is present in the medical scan, wherein the computer vision model is trained on a plurality of training medical images; retrieving guideline data from a resource database, the guideline data indicating diagnosis guidelines associated with the at least one abnormality present in the medical scan; and presenting the abnormality data and the guideline data for display via the interactive user interface in conjunction with the medical scan. ### Claim 12 (depends on 11) The method of claim 11, wherein the abnormality data identifies the at least one abnormality and further includes parameter data associated with the at least one abnormality. ### Claim 13 (depends on 12) The method of claim 12, wherein the guideline data is generated to apply the diagnosis guidelines to the at least one abnormality, based on the parameter data associated with the at least one abnormality. ### Claim 14 (depends on 13) The method of claim 13, wherein the guideline data indicates the parameter data associated with the at least one abnormality. ### Claim 15 (depends on 14) The method of claim 14, wherein the guideline data includes sample text for inclusion in the report data, and wherein the interactive user interface prompts a user to selectively and automatically include the sample text in the report data or selectively not include the sample text in the report data. ### Claim 16 (depends on 11) The method of claim 11, further comprising: retrieving guideline recitations from the resource database associated with the at least one abnormality, wherein the guideline recitations include treatment plans based on a plurality of parameters of the at least one abnormality. ### Claim 17 (depends on 16) The method of claim 16, wherein the guideline recitations associated with the at least one abnormality, are presented for display via the interactive user interface in response to user election to display the guideline recitations. ### Claim 18 (depends on 11) The method of claim 11, further comprising: retrieving one or more publications from the resource database associated with the at least one abnormality; wherein the one or more publications associated with the at least one abnormality, are presented for display via the interactive user interface in response to user election to display the one or more publications. ### Claim 19 (depends on 11) The method of claim 11, wherein the abnormality data and the guideline data are presented for display via the interactive user interface in response to user selection of the at least one abnormality in image data associated with the medical scan. ### Claim 20 (depends on 11) The method of claim 11, wherein image data associated with the medical scan, the abnormality data and the guideline data are automatically presented for display via the interactive user interface, in response to user selection of the medical scan for review.