USPTO Patent Applications - Health Informatics (G16H)

Systems And Methods For Infusion Pump Formulary Validation

USPTO published patent application US20260100261A1 for systems and methods validating infusion pump operations using configuration files to generate operational instructions. The system monitors output signals to determine infusion pump performance across combinations of infusible materials, dosages, rates, and synthesized subjects. The application was filed December 11, 2025, under CPC classifications G16H 20/17 and G16H 40/67.

Medical Device With Radio Frequency Identification Tear Tag

The USPTO published patent application US20260100258A1 for a medical device with an RFID tear tag system. The application claims a medical device with an RFID circuit and separable electrical component that changes signal output when separated. Inventors are Ashley Rachel Rothenberg and Kevin M. Ryan.

Mental Health Prediction via Conversational Speech Analysis

USPTO published patent application US20260100259A1 by Ellipsis Health, Inc. covering systems and methods for identifying mental health condition severity through passive processing of conversational speech and language. The application discloses language models and acoustic models that process conversation data to generate outputs for mental health assessment, as well as methods for tracking analytics on self-report questionnaires administered during conversations.

Electronic Illuminator System with Fiber and Cap Color Detection

The USPTO published patent application US20260100260A1 for an Electronic Illuminator System, invented by Hans UTZ and Dragan Nebrigic. The system includes a fiber detection assembly, cap color detection assembly, and printed circuit board, configured to illuminate a cable with an effect corresponding to the cable upon authenticating it.

ML Smart Array for Healthcare Providers - Patent Application US20260100286A1

USPTO published patent application US20260100286A1 for a machine learning smart array system for healthcare providers. Inventors Praveen Bhat Gurpur and Suchitra Joyce Phillips filed the application covering AI-driven healthcare suggestions using historical provider data and external health information sources. The A1 publication marks the application entering the examination queue.

Domain Extension Learning Device Patent by NEC Corporation

Domain Extension Learning Device Patent by NEC Corporation

Dental Collaboration Cloud System and Method for Multi-Practice Integration

USPTO published patent application US20260100289A1 for a dental collaboration cloud system invented by Kevin Farrell. The system includes a virtual private network service for dental practices, an adaptable integration framework for practice management systems, and a universal clinical toolset service enabling cross-system data interaction. The collaboration service allows authorized users to capture and share information via a universal dental interface.

HEALTHCARE PROVIDER ASSISTANT SYSTEM VOICE AI PATENT

USPTO published patent application US20260100288A1 on April 9, 2026, covering a healthcare provider assistant system using voice AI. The system receives voice data from a microphone, distinguishes healthcare provider from patient voices, generates transcriptions, and processes them through a trained language model to complete tasks and generate documentation from healthcare encounters.

AI-Powered Ultrasound Scan Review Generator Patent Application

USPTO published patent application US20260100287A1 by Global Ultrasound Institute Inc. on October 4, 2024. The application covers an AI model trained on ultrasound scan datasets that generates automated assessment facts and written feedback for ultrasound reviews, with multi-language support and configurable per-exam review interfaces.

Deep Learning Diagnosis of Disease Risk Factors in 3D Biomedical Imaging

The USPTO published patent application US20260100267A1 for deep learning methods and systems that detect biomarkers in volumetric biomedical imaging across optical coherence tomography, ultrasound, magnetic resonance imaging, and computed tomography modalities. The application covers deep neural networks trained to identify clinically useful biomarkers for disease risk factors, filed by Regents of the University of California.

Cloud-Based Interactive Digital Medical Imaging and Patient Health Information Exchange Platform

USPTO published patent application US20260100266A1 by Actual HealthCare Solutions describing a cloud-based platform for integrating clinical records and medical imaging studies using HL7, FHIR, and DICOM standards. The system enables real-time retrieval of patient data from disparate healthcare sources to workstations and mobile devices.

ML Language Processing Model for Radiotherapy Treatment Planning

USPTO published patent application US20260100265A1 for machine-learning language processing methods used in radiotherapy treatment planning. The system monitors a radiotherapy planning user interface to identify treatment attributes and executes ML models to generate contextual data when thresholds are met. Inventors include Jarkko Peltola, Martin Sabel, Esa Kuusela, Elena Czeizler, Ismo Hautala, and Kellee Donnelly.

Health Adherence System with Labeling

USPTO published patent application US20260100264A1 for a health adherence system with labeling on April 9, 2026, filed December 12, 2025. The system receives compliance signals from trainees indicating participation in scheduled health events including activity and mental health events. Inventors: Peter Rawlek, Kerri de Zutter, Bryan Poetz.

Patient-Centered MSK Care System and Associated Therapy Programs

The USPTO published patent application US20260100263A1 for Hinge Health's computer-implemented musculoskeletal (MSK) therapy platform. The platform is designed to improve patient adherence to exercise therapy programs by actively guiding patients through therapy sessions using wearable sensors and coaching. The application was filed December 2, 2025 and published April 9, 2026.

Health Adherence System Patent Published 9th Apr

Health Adherence System Patent Published 9th Apr

Oracle EHR Patent Uses LLM Clinical Guidance

Oracle International Corporation filed USPTO patent application US20260100257A1 for a system that uses large language models to analyze clinical guidance from medical sources, generate structured treatment pathways organized by disease state, and integrate them into electronic health record (EHR) patient charts for enhanced clinical decision support.

Digital Stethoscope Dual-Mic Dictation System Captures Physiological Sounds

USPTO published patent application US20260100256A1 for a digital stethoscope system with dual microphones — one capturing physiological sounds and another capturing voice dictation. The system uses noise cancellation to isolate heart and lung sounds from ambient noise. Inventors include Subramaniam Venkatraman, Michael Childs, and others. Medical device manufacturers and healthcare technology developers should review for potential licensing implications.

Oracle Semantic EHR Knowledge Relationships System

Oracle International Corporation has filed patent application US20260099732A1 for a system that integrates proprietary and standardized medical terminologies into electronic health record systems. The system creates a knowledge graph incorporating both terminology types and analyzes patient data against this graph to generate clinical decision support suggestions for the EHR system. Healthcare software developers and EHR vendors should monitor this application for potential implications on semantic interoperability in clinical systems.

Automatic Analyzer Calculating Sample and Consumable Replacement Wait Times

USPTO published patent application US20260098871A1 by Hitachi High-Tech Corporation for an automatic analyzer that calculates waiting times for sample and consumable replacement based on analysis schedules. The invention aims to improve laboratory workflow efficiency by determining optimal timing for replacing samples or consumables. The application was originally filed on August 23, 2023.

Adaptive AI system identifies mental illness behaviors, modifies treatment plans

USPTO published patent application US20260094689A1 for an adaptive AI system that identifies behaviors associated with mental illness and modifies treatment plans. The system predicts typical and aberrant physiological reactions to psychiatric counseling using demographic and biometric data. Filed by Federal Leadership Institute, Inc.

Multi-Modal Multi-Task Foundational Models for Medical Image Manipulation

The USPTO published patent application US20260094693A1 on April 2, 2026, disclosing a multi-modal AI system developed by inventors Alexandru Constantin Serban, Mehmet Akif Gulsun, Puneet Sharma, and Dorin Comaniciu for medical image manipulation and information retrieval. The system receives text-based instructions, encodes them using machine learning text encoders, and determines and performs instructions through medical applications to generate responses. The publication affects medical device makers, healthcare technology providers, and AI developers working on clinical applications.

Emboli Detection Methods Using Ultrasound Signals

MIT has filed USPTO Patent Application US20260094694A1 for emboli detection methods using ultrasound signals to identify mechanisms of brain injury in susceptible adults and children. The technology processes ultrasound data to identify candidate embolic regions, filter them to identify actual embolic regions, and output embolic information for clinical use.

Medical Information Processing Apparatus and Method for Time-Series Organ Images

Canon Medical Systems Corporation filed USPTO Patent Application US20260094692A1 for a medical information processing apparatus and method. The invention processes time-series images of target organs to identify organ regions and attached device regions, then calculates an index based on changes in the relative position of the device with respect to the organ in a specified attention direction. The patent was published April 2, 2026 with inventors Keitaro Kawashima and Gakuto Aoyama.

Child Evaluation System and Method of Use

USPTO published patent application US20260094690A1 for a child developmental delay diagnosis system by inventors Susan O. Gunduz and Stephanie Anne Denton. The system provides methods for early diagnosis and treatment of developmental delays in children, covering motor skills, language, phonological processing, and social emotional regulation. The patent application was filed on September 30, 2025, under application number 19344768.

Error Correction with Embedded Parity for Digital Images

USPTO published Patent Application US20260094691A1 titled 'Error Correction with Embedded Parity' by inventor Sanjay M. Joshi. The application discloses methods for protecting digital image files from loss through encoding, distributed check symbol embedding, and error recovery using error correction blocks. The technology applies to digital image transmission and storage systems.

Neural Network Training Corpus for Radiation Treatment Platform Control

The USPTO published patent application US20260094688A1 on April 2, 2026, covering neural network training methodology using physical settings data from a specific radiation treatment platform. Inventors Shahab Basiri and Esa Kuusela describe a training corpus that excludes data from other platforms, with retraining triggered by time, usage count, or maintenance events. The trained neural network maps optimized treatment plan control points to corresponding machine control points. No compliance deadlines or penalties apply.

Functional Behavior Assessment and Positive Behavior Support Strategy Method and Device

The USPTO published patent application US20260094683A1 for a computer-implemented method and device that administers functional behavior assessment (FBA) and generates positive behavior support (PBS) strategies. The system collects target behavior problems, generates questionnaires, determines probable behavior functions, and creates customized lesson plans. Inventors include Hui-Ting Wang, Jia-Yin Wang, Fang-Yu Lin, and Jia-Chi Liang.

Medical Card System with UV Code and Embedded Chip for Healthcare Information Management

The USPTO published patent application US20260094681A1 by inventor Richard Schriewer, covering a system for managing patient medical information comprising a medical identity card with multiple data storage layers (visible print, UV-visible code, and embedded chip), a mobile UV reader for healthcare personnel, and a stationary reader with security controls for clinical settings. The system enables tiered access to healthcare data based on sensitivity levels.

Radiology Report Generation Using AI Segmentation and Speech-to-Text

USPTO published patent application US20260094682A1 for a system and method of automatically generating radiology reports using AI. The invention processes medical images through segmentation and classification models, incorporates radiologist speech input converted via NLP, and generates structured reports with annotations. The patent names inventors Nivedha Srinivasan and Mouleeswaran Kumar, with application number 18901905.

On-Demand Biospecimen Collection System

The USPTO published patent application US20260094679A1 filed by inventor Patricia Tawadros for a computer-implemented system enabling secure, de-identified coordination among donors, scientists, and administrators for human biospecimen collection. The platform integrates donor registration, identity verification, scheduling, payment processing, and real-time courier tracking with configurable compensation models.

Pupillary biomarkers method assesses psychotropic drug effectiveness

USPTO published patent application US20260094684A1 for a method of assessing psychotropic drug effectiveness using pupillary biomarkers. The method uses a pupilometer to obtain and compare pupillary data before and after drug administration, displaying an output indicating drug effectiveness. Inventors: Kamran Siminou, Claudio Privtera, Jeffrey Oliver. Application No. 18898899.

Medical Device Determines Cardiac Risk Using T-wave Repolarization Measurements

USPTO published patent application US20260091236A1 by inventors Hernandez and De Groot for a medical device and method that determines cardiac event risk using T-wave repolarization measurements. The device derives T-wave loops from up to two cardiac electrical signals and determines metrics of changes in repolarization measurements to assess cardiac risk.

Biological Status Classification via Health Informatics

The USPTO published patent application US20260092926A1 for a method of classifying biological status using health informatics. The method analyzes patient samples to quantify endogenous analytes and compares results to gender-matched healthy reference data to classify patients as healthy, pre-diseased, at risk, or diseased. Inventors include Paul John Innocenzi, Stephen Peter Fitzgerald, and Ivan Robert Mcconnell.

Training Device and Attribute Data Generation Device Using AI for Health Analytics

USPTO published patent application US20260093784A1 by NEC Corporation disclosing an AI-based training device and attribute data generation system for health analytics. The system uses machine learning encoders and decoders with latent variable clustering to generate health attribute data for disease risk assessment and activity decision support. No regulatory obligations or compliance requirements are created.

Robotic navigation system for spinal surgery alignment correction

USPTO published patent application US20260090842A1 by inventors Patrick Murray et al. covering a surgical navigation system that creates plans to correct deformed spinal alignments using image processing and robotic guidance. The system includes processors configured to generate correction plans and provide real-time navigation during spinal surgery procedures.

Fujifilm multi-energy radiation color imaging processor

USPTO published patent application US20260090776A1 by FUJIFILM Corporation for an information processing apparatus that acquires multi-energy radiation imaging data and generates color images based on energy information indices. The application (No. 19322696) was filed September 9, 2025 and published April 2, 2026. Inventors include Taiga Goto and Fuyuhiko Teramoto.

System and Method for Monitoring Respiratory Rate Measurements

USPTO published patent application US20260090772A1 by Masimo Corporation inventors Ammar Al-Ali, Bilal Muhsin, and Michael O'Reilly for a system and method using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements from acoustic sensors combined with non-acoustic sensor inputs. The application covers patient monitoring systems that output confidence indications to assist clinicians in treatment decisions.

ML Algorithm Guides Ultrasound Probe for Abdominal Scans

USPTO published patent application US20260090786A1 for a machine learning algorithm that analyzes ultrasound images to guide operators in positioning probes for optimal abdominal scans. The system identifies anatomical structures, provides real-time positioning guidance, and tracks structural changes across multiple imaging sessions.

Hemorrhage identification from brain images with treatment guidance

USPTO published patent application US20260090841A1 by inventors Ahmed Kashkoush and Mark Bain for a system identifying brain hemorrhages from medical images and generating treatment guidance. The invention uses anatomical landmarks to normalize hemorrhage maps and compare them against dissimilarity heat maps to recommend treatment plans. The application (No. 19342833) was filed September 29, 2025 and published April 2, 2026.

Robotic Surgical Systems Using Neural Network Calibration

USPTO published patent application US20260090851A1 from MAKO Surgical Corp. disclosing robotic surgical systems employing artificial neural networks for multi-robot calibration. Invented by Ali Talasaz, the invention addresses error compensation in master-slave cooperative robot systems by training ANN models to correct relative and absolute positioning errors. The system improves absolute accuracy and relative tracking precision after model-based geometric calibration.

Life attitude testing system, evaluates vertical/horizontal/gaslighting states

USPTO published patent application US20260090748A1 by inventor Song Lee for a Life Attitude Test Method and System. The invention provides a computer-implemented testing method that evaluates users across four psychological states: vertical life, horizontal life, gaslighting state, and enlighting state. The system uses a test server to present questions and calculate total scores for each evaluation factor.

AI Framework for Enterprise Data Analysis and Client Insights

The USPTO has published a patent application for an AI framework designed to analyze enterprise data, including employee-client communications, to provide insights and recommendations. The framework incorporates machine learning models and adheres to enterprise data sharing and access control requirements.

AI Models for Detecting and Mitigating Ambiguity in Natural Language Text

The USPTO has published a patent application (US20260087260A1) detailing methods for using AI models to detect and mitigate ambiguity in natural language text. The application describes systems that can identify ambiguous text, provide alternative interpretations, and generate responses based on user selection.

Computer-assisted method for patient examination positioning information

The USPTO has published a new patent application (US20260088186A1) from Siemens Healthineers AG for a computer-assisted method to generate patient examination positioning information. The application details a system that uses image data and an evaluation model to create positioning data for examination protocols.

Prediction Device, Method, and Non-Transitory Computer-Readable Recording Medium

The USPTO has published a patent application (US20260088183A1) by NEC Corporation for a prediction device and method. The invention aims to support decision-making regarding a target person's health by analyzing health data distributions across different age groups.

Patent Application for Blood Flow and Shear Stress Calculation

The USPTO has published a patent application (US20260088181A1) for a method to calculate blood flow and shear stress in aortas with bicuspid aortic valves. The application, filed by the University of Seoul Industry Cooperation Foundation, details a process using characteristic values of the valve to compute these metrics.

Lung function curve prediction method and apparatus

The USPTO has published a patent application detailing a method and apparatus for predicting lung function curves. The invention uses a Taylor series expansion to model the relationship between flow rates at different sampling points, enabling prediction of true lung function curve data from a finite set of points.

NEC Corporation Patent for Information Processing Device

The USPTO has published a patent application from NEC Corporation for an information processing device. The device utilizes machine learning models to analyze human feature values and set types associated with these models, aiding in user decision-making.

Patent Application: Treating Blood Clots with Nerve Stimulation

The USPTO has published a patent application from ElectroCore, Inc. detailing systems and methods for treating blood clots using nerve stimulation, particularly for post-COVID conditions. The application describes transcutaneous electrical impulses to a vagus nerve branch to reduce antibodies associated with blood clotting.

USPTO Patent: Convert Chest Radiology Data to Numerical Vectors

The USPTO has published a patent application detailing a method and device for converting chest radiology data into numerical vectors using deep learning algorithms. This technology aims to analyze, predict, or diagnose diseases based on extracted anatomical and disease-related features from the data.