Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17112322 | AUTOMATED CLASSIFICATION AND INTERPRETATION OF LIFE SCIENCE DOCUMENTS | December 2020 | September 2022 | Allow | 22 | 0 | 0 | Yes | No |
| 17111186 | METHOD AND ELECTRONIC DEVICE FOR DESCRIPTION PARAMETER BASED MODIFICATION OF IMAGES | December 2020 | March 2024 | Allow | 40 | 4 | 0 | Yes | No |
| 17096306 | OBJECT VERIFICATION METHOD, DEVICE AND SYSTEM | November 2020 | August 2023 | Abandon | 33 | 2 | 1 | Yes | No |
| 17094093 | Face Anonymization in Digital Images | November 2020 | May 2023 | Allow | 30 | 0 | 0 | Yes | No |
| 17093960 | MULTIMODALITY IMAGE PROCESSING TECHNIQUES FOR TRAINING IMAGE DATA GENERATION AND USAGE THEREOF FOR DEVELOPING MONO-MODALITY IMAGE INFERENCING MODELS | November 2020 | March 2023 | Allow | 28 | 0 | 1 | Yes | No |
| 17087420 | MANIPULATION OF A RESPIRATORY MODEL VIA ADJUSTMENT OF PARAMETERS ASSOCIATED WITH MODEL IMAGES | November 2020 | May 2024 | Abandon | 43 | 2 | 0 | No | Yes |
| 17078037 | SENSOR-COMPATIBLE OVERLAY | October 2020 | October 2022 | Allow | 24 | 0 | 0 | Yes | No |
| 17074660 | PICTURE-BASED MESSAGE GENERATION AND RETRIEVAL | October 2020 | May 2023 | Abandon | 30 | 2 | 0 | No | No |
| 17072180 | SYSTEMS AND METHODS FOR LUNG NODULE EVALUATION | October 2020 | August 2022 | Allow | 22 | 0 | 0 | Yes | No |
| 17070533 | AUTOMATED CLASSIFICATION AND INTERPRETATION OF LIFE SCIENCE DOCUMENTS | October 2020 | March 2022 | Allow | 17 | 0 | 0 | Yes | No |
| 17070705 | MOTION TRACKING AND STRAIN DETERMINATION | October 2020 | March 2022 | Allow | 17 | 0 | 0 | Yes | No |
| 17068045 | IMAGE DIFFERENCE DETECTION | October 2020 | March 2022 | Allow | 17 | 0 | 0 | Yes | No |
| 17064254 | SELECTION OF INTRAOCULAR LENS BASED ON A PLURALITY OF MACHINE LEARNING MODELS | October 2020 | September 2022 | Allow | 23 | 0 | 0 | Yes | No |
| 17045180 | INSPECTION DEVICE, INSPECTION RESULTS MANAGEMENT SYSTEM, INSPECTION RESULTS STORAGE METHOD, AND INSPECTION RESULTS MANAGEMENT METHOD | October 2020 | March 2023 | Allow | 29 | 5 | 0 | Yes | No |
| 17063554 | Artificial Intelligence Adversarial Vulnerability Audit Tool | October 2020 | March 2022 | Allow | 17 | 0 | 0 | Yes | No |
| 17045080 | IMAGE RETRIEVAL APPARATUS IMAGE RETRIEVAL METHOD, PRODUCT CATALOG GENERATION SYSTEM, AND RECORDING MEDIUM | October 2020 | October 2023 | Allow | 36 | 1 | 0 | No | No |
| 17037058 | Generating a Digital Collage using Digital Images | September 2020 | April 2022 | Allow | 18 | 0 | 0 | Yes | No |
| 17008434 | IMAGE FEATURE COMBINATION FOR IMAGE-BASED OBJECT RECOGNITION | August 2020 | August 2022 | Allow | 24 | 0 | 0 | Yes | No |
| 16948043 | IMAGE ANALYSIS AND PROCESSING PIPELINE WITH REAL-TIME FEEDBACK AND AUTOCAPTURE CAPABILITIES, AND VISUALIZATION AND CONFIGURATION SYSTEM | August 2020 | February 2022 | Allow | 18 | 0 | 0 | Yes | No |
| 17003182 | AUTOMATED COLLECTIBLE CARD GRADING SYSTEM | August 2020 | January 2024 | Abandon | 41 | 4 | 0 | Yes | No |
| 16985623 | Longitudinal Display Of Coronary Artery Calcium Burden | August 2020 | April 2022 | Allow | 20 | 0 | 1 | Yes | No |
| 16944789 | SYSTEM AND METHOD FOR AUTOMATED PREDICTION OF DIFFICULT AIRWAY MANAGEMENT USING IMAGES | July 2020 | March 2023 | Abandon | 32 | 1 | 0 | No | No |
| 16962227 | Human Hairstyle Generation Method Based on Multi-Feature Retrieval and Deformation | July 2020 | November 2020 | Allow | 4 | 0 | 0 | No | No |
| 16926880 | METHOD OF DETERMINING CONTRAST PHASE OF A COMPUTERIZED TOMOGRAPHY IMAGE | July 2020 | February 2022 | Allow | 19 | 0 | 0 | No | No |
| 16924909 | MULTI-STAGE IMAGE MATCHING TECHNIQUES | July 2020 | October 2022 | Abandon | 27 | 1 | 0 | No | No |
| 16920972 | IMAGE PROCESSING METHODS AND APPARATUSES | July 2020 | October 2021 | Allow | 15 | 0 | 0 | Yes | No |
| 16911709 | METHOD TO DETERMINE BONE PLACEMENT IN A ROBOT WORKSPACE | June 2020 | December 2022 | Allow | 30 | 3 | 1 | Yes | No |
| 16908482 | ARTIFICIAL INTELLIGENCE ADVERSARIAL VULNERABILITY AUDIT TOOL | June 2020 | September 2020 | Allow | 3 | 0 | 0 | Yes | No |
| 16906167 | AUTOMATED IDENTIFICATION OF ACUTE AORTIC SYNDROMES IN COMPUTED TOMOGRAPHY IMAGES | June 2020 | June 2022 | Allow | 24 | 0 | 0 | Yes | No |
| 16904558 | METHOD FOR FACIAL SKIN AGE ESTIMATING AND ELECTRONIC DEVICE | June 2020 | August 2020 | Allow | 2 | 0 | 0 | Yes | No |
| 16903413 | PREDICTION OF TARGET ABLATION LOCATIONS FOR TREATING CARDIAC ARRHYTHMIAS USING DEEP LEARNING | June 2020 | December 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16946279 | VEHICULAR DRIVING ASSIST SYSTEM | June 2020 | February 2022 | Allow | 20 | 0 | 0 | Yes | No |
| 16772550 | IMAGE ANALYSIS FOR SCORING MOTION OF A HEART WALL | June 2020 | July 2022 | Allow | 26 | 1 | 0 | No | No |
| 16898416 | COMPUTER METHOD AND SYSTEM FOR DERIVING CELL-TO-CELL SPATIAL PROXIMITIES | June 2020 | October 2021 | Allow | 16 | 0 | 0 | Yes | No |
| 16890027 | SENSOR PACKAGE AND MANUFACTURING METHOD THEREOF | June 2020 | July 2021 | Allow | 14 | 0 | 0 | Yes | No |
| 16887692 | CONTEXTUAL SAFETY ASSESSMENT, RECOMMENDATIONS, PROVISIONING AND MONITORING | May 2020 | May 2022 | Allow | 23 | 0 | 0 | Yes | No |
| 16876540 | EXPLANATORY VISUALIZATIONS FOR OBJECT DETECTION | May 2020 | September 2021 | Allow | 16 | 0 | 0 | Yes | No |
| 15733100 | OBJECT MEASUREMENT SYSTEM | May 2020 | November 2022 | Abandon | 30 | 1 | 0 | No | No |
| 16859239 | AUTOMATED MEASUREMENT SYSTEM AND METHOD FOR CORONARY ARTERY DISEASE SCORING | April 2020 | November 2021 | Allow | 19 | 2 | 0 | No | No |
| 16858937 | MEDICAL IMAGE PROCESSING APPARATUS | April 2020 | March 2021 | Allow | 11 | 0 | 0 | Yes | No |
| 16858979 | MULTI-QUERY OBJECT MATCHING BASED ON INVERSE MODEL FREQUENCY | April 2020 | April 2021 | Allow | 12 | 0 | 0 | Yes | No |
| 16837611 | METHOD, SYSTEM FOR REGISTRATION OF BONE, AND TRACKABLE ELEMENT | April 2020 | May 2022 | Allow | 25 | 0 | 0 | Yes | No |
| 16835368 | EFFICIENT CALCULATION OF A ROBUST SIGNATURE OF A MEDIA UNIT | March 2020 | October 2023 | Allow | 42 | 4 | 1 | No | No |
| 16648760 | REAL TIME RECONSTRUCTION-NATIVE IMAGE ELEMENT RESAMPLING FOR HIGH DEFINITION IMAGE GENERATION AND PROCESSING | March 2020 | March 2022 | Allow | 24 | 2 | 0 | Yes | No |
| 16824234 | AUTOMATIC GATING WITH AN MR LINAC | March 2020 | May 2021 | Allow | 14 | 2 | 0 | Yes | No |
| 16818509 | Method for Image-Processing and Mobile Terminal | March 2020 | February 2022 | Allow | 23 | 0 | 0 | Yes | No |
| 16645823 | SUBJECT IDENTIFICATION SYSTEMS AND METHODS | March 2020 | November 2021 | Allow | 20 | 1 | 0 | No | No |
| 16645674 | FACE RECOGNITION METHOD AND MOBILE TERMINAL | March 2020 | May 2021 | Allow | 14 | 0 | 0 | Yes | No |
| 16644890 | PATIENT RISK STRATIFICATION BASED ON BODY COMPOSITION DERIVED FROM COMPUTED TOMOGRAPHY IMAGES USING MACHINE LEARNING | March 2020 | January 2022 | Allow | 22 | 2 | 0 | Yes | No |
| 16803466 | METHOD AND SYSTEM FOR IMAGE PROCESSING TO DETERMINE BLOOD FLOW | February 2020 | December 2022 | Allow | 33 | 2 | 0 | Yes | Yes |
| 16642253 | CORONARY ARTERY HEALTH STATE PREDICTION BASED ON A MODEL AND IMAGING DATA | February 2020 | December 2021 | Allow | 21 | 1 | 0 | Yes | No |
| 16800996 | CONTENT ENTITY RECOGNITION WITHIN DIGITAL VIDEO DATA FOR DYNAMIC CONTENT GENERATION | February 2020 | January 2022 | Allow | 22 | 2 | 0 | Yes | No |
| 16798670 | Augmented Three Dimensional Point Collection of Vertical Structures | February 2020 | October 2020 | Allow | 8 | 0 | 0 | Yes | No |
| 16640542 | COMBUSTION CHAMBER MODULE FOR AN AIRCRAFT TURBINE ENGINE COMPRISING MARKS FACILITATING IDENTIFICATION DURING ENDOSCOPIC INSPECTION OF THE COMBUSTION CHAMBER | February 2020 | March 2022 | Allow | 25 | 1 | 0 | No | No |
| 16790955 | Left-Atrial-Appendage Annotation Using 3D Images | February 2020 | November 2022 | Allow | 33 | 2 | 0 | No | Yes |
| 16787399 | IMAGE PROCESSING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM | February 2020 | July 2022 | Allow | 29 | 1 | 1 | Yes | No |
| 16787401 | IMAGE PROCESSING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM | February 2020 | April 2021 | Allow | 15 | 0 | 0 | No | No |
| 16784608 | APPARATUS, METHOD AND MEDIUM | February 2020 | June 2022 | Allow | 28 | 1 | 0 | No | No |
| 16750502 | EDGE HANDLING METHODS FOR ASSOCIATED DEPTH SENSING CAMERA DEVICES, SYSTEMS, AND METHODS | January 2020 | December 2021 | Allow | 23 | 0 | 0 | Yes | No |
| 16750478 | Generating Descriptions of Image Relationships | January 2020 | August 2021 | Allow | 19 | 0 | 0 | Yes | No |
| 16748212 | AGE CLASSIFICATION OF HUMANS BASED ON IMAGE DEPTH AND HUMAN POSE | January 2020 | October 2020 | Allow | 9 | 0 | 0 | Yes | No |
| 16746846 | Imaging Using a Biological-Lifeform Visual Perspective | January 2020 | July 2021 | Abandon | 18 | 2 | 0 | No | No |
| 16740864 | MOTION ESTIMATION AND COMPENSATION IN CONE BEAM COMPUTED TOMOGRAPHY (CBCT) | January 2020 | March 2022 | Allow | 26 | 1 | 0 | Yes | No |
| 16732656 | SYSTEMS AND METHODS FOR DEVICE QUERY/RETRIEVE CAPABILITY DISCOVERY | January 2020 | June 2021 | Allow | 18 | 0 | 0 | Yes | No |
| 16715106 | OBJECT DETECTION WITH MISSING ANNOTATIONS IN VISUAL INSPECTION | December 2019 | April 2022 | Allow | 28 | 3 | 0 | Yes | No |
| 16622653 | LAND DEFORMATION MEASUREMENT | December 2019 | November 2021 | Allow | 23 | 1 | 0 | No | No |
| 16701268 | METHODS AND APPARATUS FOR RECOMMENDING COLLOCATING DRESS, ELECTRONIC DEVICES, AND STORAGE MEDIA | December 2019 | September 2021 | Allow | 21 | 0 | 0 | Yes | No |
| 16698547 | GENERATING MOTION EXTRACTED IMAGES | November 2019 | January 2021 | Allow | 13 | 2 | 1 | No | No |
| 16695737 | ROUTE SELECTION ASSISTANCE SYSTEM, RECORDING MEDIUM ON WHICH ROUTE SELECTION ASSISTANCE PROGRAM IS RECORDED, ROUTE SELECTION ASSISTANCE METHOD, AND DIAGNOSIS METHOD | November 2019 | July 2022 | Allow | 31 | 0 | 0 | Yes | No |
| 16695657 | MEDICAL SCAN CO-REGISTRATION AND METHODS FOR USE THEREWITH | November 2019 | August 2022 | Allow | 32 | 0 | 0 | Yes | No |
| 16691430 | SYSTEM AND METHODS FOR RECONSTRUCTING MEDICAL IMAGES USING DEEP NEURAL NETWORKS AND RECURSIVE DECIMATION OF MEASUREMENT DATA | November 2019 | May 2021 | Allow | 18 | 0 | 0 | Yes | No |
| 16679358 | Training of Vehicles to Improve Autonomous Capabilities | November 2019 | March 2021 | Abandon | 16 | 0 | 1 | No | No |
| 16680474 | Systems and Methods for Multiscopic Noise Reduction and High-Dynamic Range | November 2019 | May 2020 | Allow | 6 | 0 | 0 | Yes | No |
| 16679363 | Training of Vehicles to Improve Autonomous Capabilities | November 2019 | July 2020 | Allow | 8 | 0 | 0 | Yes | No |
| 16669119 | IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE, AND STORAGE MEDIUM | October 2019 | June 2021 | Allow | 19 | 0 | 0 | Yes | No |
| 16607507 | PATIENT-CUSTOMIZED ELECTRODE ARRAYS BASED ON PATIENT-SPECIFIC COCHLEAR INFORMATION, AND DESIGNING/SELECTING METHODS AND APPLICATIONS OF SAME | October 2019 | January 2021 | Allow | 15 | 0 | 1 | Yes | No |
| 16654698 | SYSTEMS AND METHODS FOR ASSESSING CARDIOVASCULAR DISEASE AND TREATMENT EFFECTIVENESS FROM ADIPOSE TISSUE | October 2019 | June 2022 | Allow | 32 | 0 | 0 | Yes | No |
| 16654200 | Defect Detection in Lyophilized Drug Products with Convolutional Neural Networks | October 2019 | June 2021 | Allow | 20 | 0 | 0 | Yes | No |
| 16600408 | FIRE DETECTION VIA REMOTE SENSING AND MOBILE SENSORS | October 2019 | August 2021 | Allow | 22 | 1 | 0 | Yes | No |
| 16500215 | STANDARDIZED CORONARY ARTERY DISEASE METRIC | October 2019 | October 2022 | Allow | 36 | 4 | 0 | No | No |
| 16499870 | ANALYSIS DEVICE, ANALYSIS METHOD, AND ANALYSIS PROGRAM | October 2019 | March 2022 | Allow | 30 | 2 | 1 | Yes | No |
| 16498548 | MACHINE LEARNING SPECTRAL FFR-CT | September 2019 | December 2022 | Allow | 38 | 2 | 0 | Yes | No |
| 16582899 | COGNITIVE OBJECT EMOTIONAL ANALYSIS BASED ON IMAGE QUALITY DETERMINATION | September 2019 | May 2021 | Allow | 19 | 0 | 0 | Yes | No |
| 16582722 | End-to-End Room Layout Estimation | September 2019 | July 2021 | Allow | 22 | 1 | 0 | No | No |
| 16580981 | PREDICTION METHOD FOR HEALTHY RADIUS OF BLOOD VESSEL PATH, PREDICTION METHOD FOR CANDIDATE STENOSIS OF BLOOD VESSEL PATH, AND BLOOD VESSEL STENOSIS DEGREE PREDICTION DEVICE | September 2019 | March 2021 | Allow | 17 | 0 | 0 | Yes | No |
| 16496620 | CONTRAST INJECTION IMAGING | September 2019 | November 2021 | Allow | 26 | 2 | 0 | No | No |
| 16578351 | Training of Vehicles to Improve Autonomous Capabilities | September 2019 | October 2019 | Allow | 1 | 0 | 0 | Yes | No |
| 16578345 | Training of Vehicles to Improve Autonomous Capabilities | September 2019 | October 2019 | Allow | 1 | 0 | 0 | Yes | No |
| 16574380 | AUGMENTED REALITY-BASED IMAGE EDITING | September 2019 | April 2021 | Allow | 19 | 0 | 0 | No | No |
| 16494772 | MEDICAL DISPLAY CONTROL DEVICE, MEDICAL OBSERVATION DEVICE, DISPLAY CONTROL METHOD, AND MEDICAL OBSERVATION SYSTEM | September 2019 | June 2022 | Allow | 33 | 2 | 0 | Yes | No |
| 16573677 | INTELLIGENT ASSISTANT | September 2019 | November 2019 | Allow | 2 | 0 | 0 | Yes | No |
| 16556324 | Performance of Machine Learning Models for Automatic Quantification of Coronary Artery Disease | August 2019 | April 2021 | Allow | 19 | 0 | 0 | No | No |
| 16555092 | METHOD OF PROCESSING FINGERPRINT AND ELECTRONIC DEVICE THEREOF | August 2019 | January 2020 | Allow | 5 | 1 | 0 | No | No |
| 16489311 | AIRWAY VENTILATION STATE CALIBRATION SYSTEM AND SYSTEM FOR PREDICTING AIRWAY DEFORMATION DURING SLEEP | August 2019 | April 2022 | Allow | 32 | 0 | 0 | Yes | No |
| 16094454 | BLENDING IMAGES | August 2019 | October 2020 | Allow | 24 | 0 | 0 | Yes | No |
| 16526272 | Feigned Injury Detection Systems And Methods | July 2019 | August 2021 | Allow | 24 | 2 | 0 | Yes | No |
| 16521677 | METHOD FOR DERIVING ADDITIONAL AND FURTHER PICTURES FROM AN ORIGINAL PICTURE, AND DEVICE APPLYING THE METHOD | July 2019 | March 2021 | Allow | 20 | 0 | 0 | Yes | No |
| 16522552 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD | July 2019 | November 2020 | Abandon | 16 | 2 | 0 | No | No |
| 16518850 | UTILIZING OBJECT ATTRIBUTE DETECTION MODELS TO AUTOMATICALLY SELECT INSTANCES OF DETECTED OBJECTS IN IMAGES | July 2019 | May 2022 | Allow | 34 | 3 | 0 | Yes | No |
| 16517930 | METHOD FOR RETRIEVING LOST OBJECT AND LOST OBJECT RETRIEVAL DEVICE | July 2019 | December 2020 | Allow | 17 | 0 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner RAHMJOO, MANUCHEHR.
With a 40.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 46.2% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner RAHMJOO, MANUCHEHR works in Art Unit 2667 and has examined 534 patent applications in our dataset. With an allowance rate of 90.1%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 22 months.
Examiner RAHMJOO, MANUCHEHR's allowance rate of 90.1% places them in the 74% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by RAHMJOO, MANUCHEHR receive 1.28 office actions before reaching final disposition. This places the examiner in the 15% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by RAHMJOO, MANUCHEHR is 22 months. This places the examiner in the 87% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +20.1% benefit to allowance rate for applications examined by RAHMJOO, MANUCHEHR. This interview benefit is in the 62% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 32.0% of applications are subsequently allowed. This success rate is in the 68% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 15.6% of cases where such amendments are filed. This entry rate is in the 19% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 133.3% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 86% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.
This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 50% percentile among all examiners. Of these withdrawals, 45.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 43.4% are granted (fully or in part). This grant rate is in the 34% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 0.4% of allowed cases (in the 56% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.4% of allowed cases (in the 56% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.