Cognitive communications, collaboration, consultation, and instruction with adaptive agentic AI, augmented generative intelligence and neurosynaptic cognition networks

A method for multichannel multiplexed communications, collaboration, consultation and instruction, as well as recursive cognitive enrichment and collaborative knowledge exchange, with streaming imagery data during collaboration sessions, practiced by and among at least one or more participant cognitive collaborants, including persons, machines, devices, neural networks, robots and algorithms, including augmented generative AI algorithms, models and systems, and heterogeneous networked teams composed thereof, the method enabling both synchronous and asynchronous multimodal clinical communications, collaboration, consultation and instruction, including recursive cognitive enrichment and collaborative knowledge exchange, with streaming imagery data during various stages of medical disease and injury management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs, allowing each participant cognitive collaborant to capture, retrieve and concurrently view at least one source of streaming medical modality imagery data, and at least one or more sources of heterogeneous streaming imagery data, medical and non-medical streaming imagery data, multimodal media and combinations thereof, including images, video, modality imagery, audio, video and haptic wave forms and files, multiomic data—phenotypic, genomic, metabolomic, pathomic, radiomic, radiopathomic, radiogenomic, spatial multiomic and morpholomic data, maps and clinical data sets used in computer-assisted drug design and treatment, biometric maps and movies, hapmaps, heat maps, data stream visualizations, structured reports, interactive media reports, including interactive multimedia reporting, clinical documents and key performance indicators, including indicators of quality of care, as well as indicators of clinical, operational and financial performance, both live and archived streaming imagery data, enabling both synchronous and asynchronous multimodal clinical communications, collaboration, consultation and instruction, as well as recursive cognitive enrichment and collaborative knowledge exchange, with streaming imagery data in collaboration sessions practiced by and among at least one or more participant cognitive collaborants during various stages of medical disease and injury management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs, each participant cognitive collaborant able to view, curate, annotate and tag the heterogeneous streaming imagery data, the method comprising the steps of acquiring and transmitting signals from other sources of streaming imagery data at native, enhanced or reduced resolutions and native enhanced or reduced frame rates, used for the acquisition and transmission of, live or archived streaming imagery data, including images, video, modality imagery, audio, video and haptic wave forms and files, multiomic data-phenotypic, genomic, metabolomic, pathomic, radiomic, radiopathomic, radiogenomic, spatial multiomic and morpholomic data, maps and clinical data sets used in computer-assisted drug design and treatment, biometric maps and movies, hapmaps, heat maps, data stream visualizations, structured reports, interactive media reports, including interactive multimedia reporting, clinical documents and key performance indicators, including indicators of quality of care, as well as indicators of clinical, operational and financial performance, analog or digital video signals in standard or non-standard resolutions, medical or non-medical imagery, in compressed or uncompressed imagery formats;

• enabling at least one or more participant cognitive collaborants, including persons, machines, devices, neural networks, robots and algorithms, including augmented generative AI algorithms, models and systems, and heterogeneous networked teams composed thereof, to concurrently view, communicate, collaborate, consult and instruct among participant cognitive collaborants using at least one or more sources of streaming imagery data acquired and transmitted by tele-visual imagery informatics management system clini-docks, including live streaming imagery data, archived streaming imagery data, appended streaming imagery metadata, including appended semantic metadata and annotations, cognitive collaborant annotations, and archived collaborated imagery files during a synchronous or asynchronous collaboration session, establishing and maintaining channel communications for each and all of the one or more sources of streaming imagery data each participant cognitive collaborant wishes to view, monitor and collaborate with, enabling concurrent collaboration including viewing, curation, annotation and tagging with each and all of the one or more sources of streaming imagery data acquired and transmitted by tele-visual imagery informatics management system clini-docks, enabling at least one or more participant cognitive collaborants to concurrently view, communicate, collaborate, consult and instruct, including curation, annotation and tagging, with live streaming imagery data, archived imagery data, appended imagery metadata, including appended semantic metadata and annotations, collaborated annotations, and archived collaborated imagery files during a synchronous or asynchronous collaboration session, enabling at least one or more participant cognitive collaborant in multiple locations, some of whom may be located remotely to the sources of streaming imagery data, to concurrently view, communicate, collaborate, consult and instruct, including curation, annotation and tagging, with live streaming imagery data, archived imagery data, appended imagery metadata, including appended semantic metadata and annotations, collaborated annotations, and archived collaborated imagery files during a synchronous or asynchronous collaboration session, enabling at least one or more participant cognitive collaborant to independently add sources of streaming imagery data, adjust, enhance or reduced resolutions or frame rates of streaming imagery data with a multi-channel communications control interface, and independently view those additional channels of streaming imagery data and independently select which of those channels to bring into a collaboration session, conveying instructions with two way communications among participant cognitive collaborants, including source channel selection, for viewing, curating, annotating and tagging imagery data streams with telestrations, drawings, illustrations, alpha-numeric text annotations, image annotations, wave form annotations, voice annotations, video annotations, augmented reality imagery annotations, 3D/4D imagery annotations, haptic annotations, document annotations, outcomes annotations, performance annotations, results annotations, resource consumption annotations, resource utilization annotations and costs annotations, encapsulating and saving collaborated annotations and tags together with streaming imagery data, relevant imagery metadata, including semantic metadata and annotations, and appended imagery metadata, including appended semantic metadata and annotations, from the collaboration session in native, single file format structures, known as collaborated imagery files, storing collaborated imagery files from all participant cognitive collaborants locally in media libraries or image data repositories on their respective computer storage devices, in image data repositories on tele-visual imagery informatics management system servers, in image data repositories on cloud storage devices and locations, in image data repositories on picture archiving and communications systems, in other image data repositories compliant with standards for digital imaging and communications in medicine, or in any other data repository that allows streaming imagery data, annotations and metadata, including semantic metadata and annotations, to be combined in native single file format structures, including in such locations as data containers and data catalogs, clinical data repositories, personalized clinical knowledge repositories, clinical cognitive vismeme vaults and metadata repositories, on premises, as well as on cloud storage devices and locations, retrieving collaborated imagery files from all participant cognitive collaborants stored locally in media libraries or image data repositories on their respective computer storage devices, in image data repositories on tele-visual imagery informatics management system servers, in image data repositories on cloud storage devices and locations, in image data repositories on picture archiving and communications systems, in other image data repositories compliant with standards for digital imaging and communications in medicine, or in any other data repository that allows streaming imagery data, annotations and metadata, including semantic metadata and annotations, to be combined in native single file format structures, including in such locations as data containers and data catalogs, clinical data repositories, personalized clinical knowledge repositories, clinical cognitive vismeme vaults and metadata repositories, on premises, as well as on cloud storage devices and locations, publishing and distributing collaborated imagery files in known native, single file format structures, including those used for digital imaging and communications in medicine comprising both core and non-core data element tags, together with conformance statements that enable prior evaluation and testing of streaming imagery equipment components without an actual physical connection, all of which facilitate network connectivity for imagery equipment components, communication interoperability for imagery data systems, and exchange of collaborated imagery files, dynamically managing and controlling with at least one or more associated databases, authorization, authentication, identity management, security, and access, publication and distribution privileges for viewing, communicating, collaborating, consulting and instructing, and cognitive collaborant privileges, including curation, annotation, tagging, encapsulation, saving, storage, retrieval and distribution of live streaming imagery data, archived imagery data, appended imagery metadata, including appended semantic metadata and annotations, collaborated annotations, and archived collaborated imagery files for each participant cognitive collaborant during collaboration sessions, including managing and controlling security tokens providing access for cognitive collaborants maintained in security metadata repositories, blockchain metadata repositories and blockchain data ledgers, enabling both synchronous and asynchronous bidirectional communications with at least one or more local area networks, at least one or more wide area networks (internet) including imagery data repositories and combinations thereof during multiple collaboration sessions, enabling identification, tracking and monitoring of participant cognitive collaborants by assignment of unique colors for annotations of streaming imagery data, archived collaborated imagery files and cognitive collaborant annotations, that include telestrations, drawings, illustrations, alpha-numeric text annotations, as well as cognitive collaborant annotations combined with alpha-numeric text annotations, image annotations, wave form annotations, voice annotations, video annotations, augmented reality imagery annotations, 3D/4D imagery annotations, haptic annotations, document annotations, outcomes annotations, performance annotations, results annotations, resource consumption annotations, resource utilization annotations and costs annotations, enabling colorized telestration, annotation and masking of colorized attention maps and colorized prediction bases for explainable artificial intelligence by participant cognitive collaborants by assignment of unique colors for annotations of streaming imagery data, archived collaborated imagery files and cognitive collaborant annotations, including telestrations, drawings, illustrations, alpha-numeric text annotations, image annotations, wave form annotations, voice annotations, video annotations, augmented reality imagery annotations, 3D/4D imagery annotations, haptic annotations, document annotations, outcomes annotations, performance annotations, results annotations, costs annotations, resource consumption annotations and resource utilization annotations;
• allowing for multiple participant cognitive collaborants, each of whom can capture live streaming imagery data together with associated imagery metadata, including semantic metadata and annotations, and bring into the collaboration session, retrieve archived streaming imagery data together with associated imagery metadata, including semantic metadata and annotations, and bring into the collaboration session, concurrently view, communicate, collaborate, consult and instruct with streaming imagery data, enabling curation, annotation and tagging that streaming imagery data with collaborated annotations that include telestrations, drawings, illustrations, alpha-numeric text annotations, image annotations, wave form annotations, voice annotations, video annotations, augmented reality imagery annotations, 3D/4D imagery annotations, haptic annotations, document annotations, outcomes annotations, performance annotations, results annotations, resource consumption annotations, resource utilization annotations and costs annotations, enabling encapsulation and saving collaborated streaming imagery data and archived imagery metadata, including archived semantic metadata and annotations, together with appended imagery metadata, including appended semantic metadata and annotations, and collaborated annotations and from each collaboration session, including asynchronous or synchronous collaboration with at least one or more participant cognitive collaborants, in native, single file format structures, known as collaborated imagery files, enabling multimodal clinical communications, collaboration, consultation and instruction, including viewing, curating, annotating and tagging, using at least one or more sources of streaming imagery data shared among at least one or more participant cognitive collaborants with a multi-channel stream viewer that enables capture, retrieval and concurrent viewing of both live and archived medical imagery streams together with associated metadata during various stages of medical disease and injury management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs, enabling independently adding sources of streaming imagery data, adjust, enhance or reduce resolutions or frame rates of streaming imagery data with a multi-channel communications control interface, and independently view those additional channels of streaming imagery data and independently select which of those channels to bring into a collaboration session, enabling conveying instructions with two way communications among participant cognitive collaborants, including source channel selection, for viewing, curating, annotating and tagging imagery data streams with telestrations, drawings, illustrations, alpha-numeric text annotations, image annotations, wave form annotations, voice annotations, video annotations, augmented reality imagery annotations, 3D/4D imagery annotations, haptic annotations, document annotations, outcomes annotations, performance annotations, results annotations, resource consumption annotations, resource utilization annotations and costs annotations, and not reliant upon any external communications network.

A method enabling multichannel multiplexed communications, collaboration, consultation and instruction, as well as recursive cognitive enrichment and collaborative knowledge exchange, with streaming imagery data by participant cognitive collaborants, including persons, machines, devices, neural networks, robots and algorithms, including augmented generative AI algorithms, models and systems, and heterogeneous networked teams composed thereof, with modular and scalable clusters of gateway streamer servers configured to support multiple network topologies, including peer-to-peer, hub-and-spoke, mesh chord and core-spine-leaf networks, as well as in 2-tier, 3-tier, or N-tier application architectures, and heterogeneous network combinations thereof, each gateway streamer server enabling neurosynaptic network connectivity enabling both synchronous and asynchronous multimodal clinical communications, collaboration, consultation and instruction, as well as recursive cognitive enrichment and collaborative knowledge exchange, that includes viewing, curating, annotating and tagging, using at least one or more sources of multichannel, multiplexed heterogeneous streaming imagery data, including both medical and non-medical streaming imagery data, multimodal media and combinations thereof, and together with images, video, modality imagery, waveforms, audio and haptic files, multiomic data—phenotypic, genomic, metabolomic, pathomic, radiomic, radiopathomic, radiogenomic, spatial multiomic and morpholomic data, maps and clinical data sets used in computer-assisted drug design and treatment, biometric maps and movies, hapmaps, heat maps, data stream visualizations, structured reports, interactive media reports, including interactive multimedia reporting, clinical documents and key performance indicators, including indicators of quality of care, as well as indicators of clinical, operational and financial performance, during various stages of medical disease and injury management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting, as well as workflow optimization with operational analytics for outcomes, performance, results, resource utilization, resource consumption and costs.