Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18787719 | COMPUTERIZED SYSTEM TO PROVIDE MEDICAL DIAGNOSIS, PROGNOSIS, AND TREATMENT USING MORE REFINED DIGITAL HEALTH RECORDS HAVING IMPROVED CONTEXT | July 2024 | February 2026 | Allow | 19 | 0 | 0 | No | No |
| 18653133 | METHODS AND SYSTEMS FOR EVALUATING CLINICAL INTERVENTIONS | May 2024 | November 2024 | Abandon | 6 | 0 | 0 | No | No |
| 18652525 | PROCEDURAL AND SURGICAL INFORMATION ALERT SYSTEM | May 2024 | February 2026 | Abandon | 21 | 1 | 0 | Yes | No |
| 18292556 | MEDICAL SUPPORT SYSTEM | January 2024 | February 2026 | Abandon | 25 | 1 | 0 | No | No |
| 18460148 | PORTABLE INTEGRATED CONTROLLER FOR REMOTE MEDICAL SUPPORT | September 2023 | December 2025 | Abandon | 28 | 1 | 0 | No | No |
| 18039738 | PROCESS MINING PATIENT WORKFLOWS FROM REAL-TIME LOCATION SYSTEM (RTLS) DATA | June 2023 | December 2025 | Abandon | 30 | 1 | 0 | No | No |
| 18135723 | METHOD AND APPARATUS FOR RESPONDING TO DECONTAMINATION SITUATIONS | April 2023 | April 2025 | Abandon | 24 | 1 | 0 | No | No |
| 18182580 | ADAPTIVE AND CONFIGURABLE DELIVERY OF MEASUREMENT-BASED CARE TO ASSESS BEHAVIORAL HEALTH STATUS | March 2023 | October 2025 | Abandon | 31 | 1 | 0 | No | No |
| 18019141 | Methods and Systems for Efficient Sample Pooling for Diagnostic Testing | February 2023 | May 2025 | Abandon | 27 | 1 | 0 | No | No |
| 18156249 | SUBJECTING TEXTUAL MESSAGES SENT BY PATIENTS TO A MACHINE LEARNING MODEL TRAINED TO PREDICT WHETHER THEY ARE SUFFERING OR WILL SOON SUFFER FROM PSYCHOSIS | January 2023 | June 2025 | Abandon | 29 | 1 | 0 | No | No |
| 18152242 | AI-DRIVEN CARE PLANNING USING SINGLE-SUBJECT MULTI-MODAL INFORMATION | January 2023 | November 2025 | Abandon | 34 | 2 | 0 | No | No |
| 18150119 | SYSTEMS AND METHODS FOR DETECTING DISEASES BASED ON THE PRESENCE OF VOLATILE ORGANIC COMPOUNDS IN THE BREATH | January 2023 | May 2025 | Abandon | 28 | 1 | 0 | No | No |
| 17773474 | INFORMATION PROCESSING METHOD, STORAGE MEDIUM, AND INFORMATION PROCESSING DEVICE | April 2022 | July 2025 | Abandon | 39 | 2 | 0 | No | No |
| 17773230 | PERFORMING MAPPING OPERATIONS TO PERFORM AN INTERVENTION | April 2022 | February 2025 | Abandon | 34 | 1 | 0 | No | No |
| 17773251 | HEALTH RELATED DATA MANAGEMENT OF A POPULATION | April 2022 | March 2025 | Abandon | 34 | 1 | 0 | No | No |
| 17773208 | PATIENT VIEWER CUSTOMIZED WITH CURATED MEDICAL KNOWLEDGE | April 2022 | December 2024 | Abandon | 32 | 1 | 0 | No | No |
| 17708016 | TRAINING METHOD, TRAINING APPARATUS, AND RECORDING MEDIUM | March 2022 | August 2024 | Abandon | 29 | 1 | 0 | No | No |
| 17609967 | INTERACTIVE HUMAN ACTIVITY TRACKING SYSTEM | November 2021 | February 2025 | Abandon | 39 | 2 | 0 | No | No |
| 17520944 | SYSTEMS AND METHODS OF CLASSIFYING MOVEMENTS FOR VIRTUAL REALITY ACTIVITIES | November 2021 | June 2025 | Abandon | 43 | 2 | 1 | Yes | No |
| 17304780 | ARTIFICIAL INTELLIGENCE ASSISTED PHYSICIAN SKILL ACCREDITATION | June 2021 | December 2024 | Abandon | 42 | 2 | 0 | No | No |
| 17348722 | PROCEDURAL AND SURGICAL INFORMATION ALERT SYSTEM | June 2021 | September 2024 | Abandon | 39 | 1 | 0 | No | No |
| 17299342 | DEVICE, SYSTEM, AND METHOD FOR PROVIDING TREATMENT INFORMATION FOR SKIN BEAUTY TREATMENT | June 2021 | January 2025 | Abandon | 43 | 2 | 0 | No | No |
| 17290703 | SYSTEM AND METHOD FOR VARYING DATA VOLUME TRANSMITTED TO EXTERNAL SOURCE | April 2021 | May 2025 | Abandon | 49 | 3 | 0 | Yes | No |
| 17252459 | METHOD FOR PROVIDING SUPER SELF-MANAGEMENT SERVICE TO PROVIDE STEP-BY-STEP CONSULTING AND MENTORING OF LVH FOR SELF MANAGEMENT | December 2020 | June 2024 | Abandon | 42 | 2 | 0 | No | No |
| 17109781 | GENERATING FOLLOWUP QUESTIONS FOR INTERPRETABLE RECURSIVE MULTI-HOP QUESTION ANSWERING | December 2020 | July 2024 | Abandon | 43 | 2 | 0 | Yes | No |
| 17109186 | BUILDING CHATBOTS FOR EXTERNAL KNOWLEDGE SOURCES | December 2020 | November 2024 | Abandon | 47 | 2 | 0 | Yes | No |
| 17104932 | METHOD FOR PARTIAL TRAINING OF ARTIFICIAL INTELLIGENCE AND APPARATUS FOR THE SAME | November 2020 | June 2025 | Abandon | 54 | 4 | 0 | No | No |
| 17096748 | ELECTRONIC DEVICE AND CONTROL METHOD THEREOF | November 2020 | July 2025 | Abandon | 56 | 4 | 0 | Yes | No |
| 17093185 | SELF-SUPERVISED VISUAL-RELATIONSHIP PROBING | November 2020 | July 2025 | Allow | 56 | 4 | 0 | Yes | No |
| 17089318 | Dynamic Determination of Data Load Process for a Rule Engine in a Decision Service | November 2020 | June 2024 | Allow | 44 | 2 | 0 | Yes | No |
| 17078133 | DEEP LEARNING IN SITU RETRAINING | October 2020 | February 2026 | Allow | 60 | 6 | 0 | No | No |
| 17068850 | ARTIFICIAL-INTELLIGENCE-BASED TOOTHBRUSHING RECOMMENDATION METHOD, DEVICE, AND STORAGE MEDIUM | October 2020 | November 2024 | Abandon | 49 | 2 | 0 | No | No |
| 17028201 | META-FEATURE TRAINING MODELS FOR MACHINE LEARNING ALGORITHMS | September 2020 | February 2025 | Allow | 53 | 4 | 0 | Yes | No |
| 17013375 | SERVER AND CONTROL METHOD THEREOF | September 2020 | October 2024 | Abandon | 50 | 2 | 0 | No | No |
| 17005069 | DEVICE AND METHOD FOR THE GENERATION OF SYNTHETIC DATA IN GENERATIVE NETWORKS | August 2020 | November 2024 | Allow | 50 | 3 | 0 | No | Yes |
| 17002814 | INFORMATION PROCESSING DEVICE AND METHOD, AND RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM | August 2020 | February 2024 | Abandon | 42 | 4 | 0 | No | No |
| 17002567 | METHOD AND APPARATUS FOR TRAINING A CLASSIFICATION NEURAL NETWORK, TEXT CLASSIFICATION METHOD AND APPARATUSES, AND DEVICE | August 2020 | February 2025 | Abandon | 54 | 4 | 0 | Yes | No |
| 17002485 | EVOLVING SYMPTOM-DISEASE PREDICTION SYSTEM FOR SMART HEALTHCARE DECISION SUPPORT SYSTEM | August 2020 | January 2026 | Abandon | 60 | 3 | 1 | No | No |
| 16998761 | COMPUTING TEMPORAL CONVOLUTION NETWORKS IN REAL TIME | August 2020 | September 2024 | Allow | 49 | 4 | 0 | No | No |
| 16970479 | MECHANISM FOR MACHINE LEARNING IN DISTRIBUTED COMPUTING | August 2020 | August 2025 | Abandon | 60 | 4 | 0 | No | No |
| 16994967 | SYSTEM AND METHODS FOR GRAY-BOX ADVERSARIAL TESTING FOR CONTROL SYSTEMS WITH MACHINE LEARNING COMPONENTS | August 2020 | April 2024 | Abandon | 44 | 1 | 0 | No | No |
| 16989131 | Performing Synchronization in the Background for Highly Scalable Distributed Training | August 2020 | June 2025 | Abandon | 58 | 3 | 0 | Yes | No |
| 16966959 | INTERACTIVE FRAMEWORK FOR AUTOMATIC GENERATION, ANALYSIS AND EXPLORATION OF COMPOSABLE SYSTEM OF SYSTEMS BASED ON A KNOWLEDGE GRAPH | August 2020 | April 2025 | Abandon | 56 | 4 | 0 | No | No |
| 16945898 | Interpretable Tabular Data Learning Using Sequential Sparse Attention | August 2020 | February 2024 | Allow | 43 | 2 | 0 | No | No |
| 16966529 | GENERATION OF KERNELS BASED ON PHYSICAL STATES | July 2020 | September 2024 | Abandon | 50 | 4 | 0 | Yes | No |
| 16928219 | Sparse Local Connected Artificial Neural Network Architectures Involving Hybrid Local/Nonlocal Structure | July 2020 | January 2025 | Allow | 54 | 4 | 0 | Yes | No |
| 16893684 | DECENTRALIZED MACHINE LEARNING SYSTEM AND A METHOD TO OPERATE THE SAME | June 2020 | May 2024 | Abandon | 47 | 2 | 0 | No | No |
| 16861019 | ROBUSTNESS-AWARE QUANTIZATION FOR NEURAL NETWORKS AGAINST WEIGHT PERTURBATIONS | April 2020 | September 2024 | Abandon | 53 | 4 | 0 | Yes | No |
| 16637576 | SYSTEMS AND METHODS FOR IMPROVING DISEASE DIAGNOSIS USING MEASURED ANALYTES | February 2020 | April 2025 | Abandon | 60 | 6 | 0 | No | No |
| 16741431 | METHODS AND SYSTEMS FOR IMPROVING HEURISTIC SEARCHES FOR ARTIFICIAL INTELLIGENCE PLANNING | January 2020 | March 2026 | Abandon | 60 | 6 | 0 | Yes | No |
| 16418757 | COMPUTATIONAL MODEL MANAGEMENT | May 2019 | October 2025 | Abandon | 60 | 7 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner WASEEM, HUMA.
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, 100.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner WASEEM, HUMA works in Art Unit 3686 and has examined 34 patent applications in our dataset. With an allowance rate of 23.5%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 50 months.
Examiner WASEEM, HUMA's allowance rate of 23.5% places them in the 3% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by WASEEM, HUMA receive 3.26 office actions before reaching final disposition. This places the examiner in the 91% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by WASEEM, HUMA is 50 months. This places the examiner in the 6% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +8.6% benefit to allowance rate for applications examined by WASEEM, HUMA. This interview benefit is in the 39% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 11.3% of applications are subsequently allowed. This success rate is in the 6% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.
This examiner enters after-final amendments leading to allowance in 5.6% of cases where such amendments are filed. This entry rate is in the 6% 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.
This examiner withdraws rejections or reopens prosecution in 100.0% of appeals filed. This is in the 98% percentile among all examiners. Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 40% percentile). This examiner makes examiner's amendments less often than average. You may need to make most claim amendments yourself.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 43% percentile). This examiner issues Quayle actions less often than average. Allowances may come directly without a separate action for formal matters.
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.