# US 2023/0410993 A1 · Devices, systems, and methods for predicting surgical time and optimizing medical procedures and outcomes > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0410993 A1 - Document ID: US20230410993A1 - Status: Published application - Kind: A1 - Application number: 18/338,102 - Filed: 2023-06-20 - Published: 2023-12-21 - Earliest claimed: 2022-06-21 - Assignees: MAKO Surgical Corp. - Applicants: MAKO Surgical Corporation - Inventors: Arman MOTESHAREI; Nathalie WILLEMS; Alison LONG; Daniele DE MASSARI; Hyosig KANG - Web page: https://patentgrep.com/patent/US20230410993A1 ## CPC - G06V 40/10: Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands - G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms - A61B 6/032: {Transmission computed tomography [CT]} - A61B 6/54: {Control of apparatus or devices for radiation diagnosis} - G06T 7/0012: {Biomedical image inspection} - G06T 7/62: of area, perimeter, diameter or volume - G06V 20/60: Type of objects - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture - G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS - G16H 30/40: for processing medical images, e.g. editing - G16H 40/63: for local operation - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - A61B 6/505: {for diagnosis of bone} - A61B 6/5217: {extracting a diagnostic or physiological parameter from medical diagnostic data} - G06T 2207/10081: Computed x-ray tomography [CT] - G06T 2207/20081: Training; Learning - G06T 2207/20084: Artificial neural networks [ANN] - G06T 2207/30008: Bone - G06V 2201/03: Recognition of patterns in medical or anatomical images - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Aspects disclosed herein may provide a method for determining a duration of a medical procedure. The method may include receiving imaging data including at least one image acquired of a patient's anatomy, determining at least one parameter of the patient's anatomy based on the imaging data, predicting a duration for the medical procedure based on the determined at least one parameter, and outputting the predicted duration on an electronic display. The at least one parameter may include at least one of a B-score, a joint-space width, an osteophyte position or volume, an alignment, or a deformity based on the imaging data. ## Claims ### Claim 1 A method for determining a duration of a medical procedure, comprising: receiving imaging data including at least one image acquired of a patient's anatomy; determining at least one parameter of the patient's anatomy based on the imaging data, the at least one parameter including at least one of a B-score, a joint-space width, an osteophyte position or volume, an alignment, or a deformity based on the imaging data; predicting a duration for the medical procedure based on the determined at least one parameter; and outputting the predicted duration on an electronic display. ### Claim 2 (depends on 1) The method of claim 1, further comprising: identifying at least one femur in the at least one image, wherein the parameter includes a B-score of the identified femur; determining that the B-score is greater than a predetermined B-score, and determining that the predicted duration is longer or shorter than a predetermined duration. ### Claim 3 (depends on 1) The method of claim 1, further comprising: identifying at least two bones at a joint in the at least one image, wherein the parameter includes a joint-space width between the at least two bones; and determining whether the joint-space width is within a predetermined joint-space width range. ### Claim 4 (depends on 3) The method of claim 3, further comprising: determining that the joint-space width is outside the predetermined joint-space width range, and determining that the predicted duration is longer than a predetermined duration. ### Claim 5 (depends on 1) The method of claim 1, further comprising: identifying at least one bone in the at least one image; and detecting at least one osteophyte on the identified at least one bone. ### Claim 6 (depends on 5) The method of claim 5, further comprising: determining a volume of the detected at least one osteophyte, and determining that the predicted duration is longer or shorter than a predetermined duration based on the determined volume. ### Claim 7 (depends on 5) The method of claim 5, wherein detecting at least one osteophyte on the identified at least one bone includes determining a position of the at least one osteophyte in relation to a predetermined area or compartment on the identified bone. ### Claim 8 (depends on 1) The method of claim 1, further comprising: identifying at least one bone in the at least one image; determining an alignment parameter of the at least one bone; and determining whether the alignment parameter is within a predetermined alignment range. ### Claim 9 (depends on 8) The method of claim 8, further comprising: determining that the alignment parameter is outside the predetermined alignment range, and determining that the predicted duration is longer than a predetermined duration. ### Claim 10 (depends on 1) The method of claim 1, further comprising: receiving prior procedure data, the prior procedure data including data from a plurality of prior patients sharing at least one characteristic with the patient, wherein determining the predicted duration for the medical procedure is based on the received prior procedure data. ### Claim 11 (depends on 1) The method of claim 1, further comprising: receiving at least one of (i) patient specific data regarding the patient, (ii) clinical data relating to the patient, and (iii) surgeon specific data relating to one or more surgeons, wherein determining the predicted duration for the medical procedure is based on the received patient specific data, clinical data, and/or surgeon specific data. ### Claim 12 (depends on 1) The method of claim 1, further comprising determining, based on the determined predicted duration for the procedure and/or the at least one parameter of the patient's anatomy, an output, the output including at least one of: an operating room layout, an operating room schedule, at least one staff member to assist in performance of the medical procedure, a procedure plan, a case difficulty, a risk of infection, a loss of cartilage, a predicted pain perceived by the patient after the procedure, a predicted stress level perceived by the patient after the procedure, a predicted anxiety level perceived by the patient after the procedure, or a predicted mental health status of the patient after the procedure. ### Claim 13 (depends on 12) The method of claim 12, wherein determining the output includes determining the operating room layout, the operating room schedule, and the at least one staff member, and the determined output is configured to reduce the duration for the procedure. ### Claim 14 (depends on 1) The method of claim 1, further comprising determining, based on the predicted procedure duration, at least one of a case difficulty, a risk of infection, a loss of cartilage, or a predicted pain, stress level, anxiety level, or mental health status of the patient. ### Claim 15 (depends on 1) The method of claim 1, further comprising determining, based on the imaging data, at least one of a bone-to-skin ratio and a bone-to-tissue ratio, wherein predicting the duration for the medical procedure is based on the determined bone-to-skin ratio and/or bone-to-tissue ratio. ### Claim 16 (depends on 1) The method of claim 1, further comprising: receiving procedure information collected during the medical procedure; and determining a secondary duration for the medical procedure based on the received procedure information. ### Claim 17 A method for determining a duration for a medical procedure, comprising: receiving at least one image acquired of a patient's anatomy; determining, based on the at least one image, a plurality of parameters, the plurality of parameters including: (i) a B-score, (ii) a joint-space width, (iii) an osteophyte position or volume, and (iv) an alignment or a deformity relating to the patient's anatomy; predicting a duration for the medical procedure based on the determined plurality of parameters, and outputting the predicted duration on an electronic display. ### Claim 18 (depends on 17) The method of claim 17, wherein predicting the duration includes determining a longer duration of the medical procedure based on: a determined B-score that is outside a predetermined B-score range, a determined joint-space width that is outside a predetermined joint-space width range, a determined osteophyte volume that is outside a predetermined osteophyte volume range, and/or a determined misalignment or severity of the deformity that is outside of a predetermined alignment range. ### Claim 19 A system configured to predict a duration for a medical procedure, comprising: an imaging device configured to acquire at least one image of a patient's anatomy; a memory configured to store information, the information including patient specific information, clinical data, practitioner specific information, preoperative data received from one or more preoperative measurement systems, and prior procedure data related to prior patients that underwent prior procedures; a controller configured to: execute one or more algorithms to determine, based on the at least one image, at least one parameter of the patient's anatomy, the parameter including at least one of a B-score, a joint-space width, an osteophyte position or volume, an alignment, and a deformity, determine, based on the determined at least one parameter and the stored information in the memory, a duration of the medical procedure to be undergone by a patient, and determine, based on the predicted duration, an output including at least one of an operating room layout, an operating room schedule, at least one staff member to assist in performance of the procedure, a procedure plan, a case difficulty, a risk of infection, a loss of cartilage, or a predicted pain, stress level, anxiety level, or mental health status of the patient after the procedure; and an electronic display configured to display the determined duration and/or the determined output. ### Claim 20 (depends on 19) The system of claim 19, wherein the imaging device includes a computed tomography (CT) imaging device configured to acquire at least one CT scan, and the controller is configured to: execute one or more algorithms to determine, based on the at least one CT scan, the osteophyte volume, and determine, based on the determined osteophyte volume, the duration of the medical procedure.