record initialized not assigned to examiner
on 06 Nov 2024
Last Applicant/ Owned by
501 Chula Vista
McAllen
TX
78501
Serial Number
98840103 filed on 06th Nov 2024
Registration Number
N/A
Correspondent Address
Ritambhara Chauhan
Filing Basis
1. filed as use application
2. use application currently
Disclaimer
NO DATA
Downloadable software featuring artificial intelligence for use in reporting and data management, including speech-to-text dictation and generative AI capabilities, which can be downloaded to desktop computers, mobile devices, or tablets, and is also accessible via a web browser. The software provides a report repository for centralized storage, search, filtering, printing, and digital sharing of Read More
Downloadable software featuring artificial intelligence for use in reporting and data management, including speech-to-text dictation and generative AI capabilities, which can be downloaded to desktop computers, mobile devices, or tablets, and is also accessible via a web browser. The software provides a report repository for centralized storage, search, filtering, printing, and digital sharing of reports. It includes an advanced zero-footprint, cloud-based DICOM viewer for viewing associated DICOM data from various medical imaging modalities on desktop, mobile, or web platforms. The software also features AI image detection algorithms for identifying abnormalities and pathologies to streamline the reporting process. Downloadable software featuring artificial intelligence for use in reporting and data management, including speech-to-text dictation and generative AI capabilities, accessible via desktop, mobile devices, or web browsers, incorporating a PACS (Picture Archiving and Communication System) product for DICOM storage and routing that connects to medical imaging equipment and streamlines DICOM data for viewing and reporting. The software also includes a radiology information system that integrates reporting, image management, patient information, clinical history, exam scheduling, and other essential functionalities for radiology departments. It features AI detection capabilities and a platform for pathology-based screening and exams, in addition to the image-based detection in radiology, enabling early pathology detection screening. Additional hardware for supporting these solutions includes microphones and speakers for speech-to-text and voice commands, computational hardware for running AI algorithms on premises, storage devices for additional on-premises storage, reporting workstations, tablets connected to ultrasound equipment, and PACS storage hardware with on-premises DICOM routing devices. The suite of solutions can also be implemented in a clinical center for early pathology detection screening
10th Apr 2024
10th Apr 2024
No 98840103
No Service/Collective Mark
No
No
No
No
No
No
No
No
No
Status Date | Action Taken |
---|---|
06th Nov 2024 | NEW APPLICATION ENTERED |