Abstract: The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with networked cognitive collaboration, augmented clinical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal clinical communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms.

Abstract: The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with networked cognitive collaboration, augmented clinical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal clinical communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms.

Abstract: The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms.

Abstract: The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms.

Abstract: The invention integrates emerging applications, tools and techniques for machine learning in medicine with videoconference networking technology in novel business methods that support rapid adaptive learning for medical minds and machines. These methods can leverage domain knowledge and clinical expertise with cognitive collaboration, augmented medical intelligence and cybernetic workflow streams for learning health care systems. The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among cognitive collaborants, including heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms. It provides for both synchronous and asynchronous cognitive collaboration with multichannel, multiplexed imagery data streams during various stages of medical disease and injury management—detection, diagnosis, prognosis, treatment, measurement and monitoring, as well as resource utilization and outcomes reporting.

Abstract: The invention enables multimodal cognitive communications, collaboration, consultation and instruction between and among heterogeneous networked teams of persons, machines, devices, neural networks, robots and algorithms during various stages of medical disease management, including detection, diagnosis, prognosis, treatment, measurement, monitoring and reporting. The invention enables both synchronous and asynchronous multiparty collaboration with multichannel, multiplexed streaming imagery data, including interactive curation, multisensory annotation and metadata tagging, as well as multi-formatted encapsulation, saving and sharing of collaborated imagery data as packetized augmented intelligence.

Abstract: The invention enables multimodal cognitive communications, collaboration, consultation and instruction with multichannel multiplexed streaming imagery data. It also enables synchronous multiparty curation, multisensory annotation and metadata tagging, as well as multi-formatted encapsulation, saving and sharing of collaborated imagery data as packetized augmented intelligence. The invention acquires both live stream and archived medical modality imagery from network-connected medical devices, cameras, signals and sensors, as well as multi-omic [phenotypic, genomic, metabolomic and radiomic] clinical data from biometric maps and movies, hapmaps, heat maps and data stream visualizations. The invention also acquires both medical and non-medical streaming imagery data from image data repositories, documents and structured reports, workstations and mobile devices, as well as from wearable computing, signals and sensors.

Abstract: Network system apparatus and method of use provides for neurosynaptic network connectivity and collaborative knowledge exchange with visual neural networking and packetized augmented cognition. Value chain knowledge exchange includes knowledge acquisition and mapping, creation and destruction, integration and sharing, replication and protection, as well as outcomes performance evaluation, strategy formulation, implementation and innovation. Multimodal cognitive communications includes multisensory [sight-sound-touch] digital data exchange with vision, audition and sensation [semiotics, semantics, somesthetics.] The invention enables pluribus network encoding with multichannel multiplexed signals, sensors, devices, packets, waveforms and streams, including space shifting, time shifting and format shifting media synchronization.

Abstract: The invention enables networked teams to recursively annotate and tag, encapsulate and share multi-channel multiplexed streaming medical imagery, including networked televisual communications with streaming imagery data from heterogeneous spatial and temporal sources, locations, modalities and scales. The invention acquires both live and archived streaming imagery data from network-connected medical devices, cameras, signals and sensors. The network system apparatus also acquires biometric maps, movies and data visualizations, along with packetized clinical informatics from imagery data stores, workstations and mobile devices, including wearable computing. The invention enables networked teams to concurrently collaborate on multi-channel multiplexed medical imagery streams, singly or together, in real time or asynchronously, generally by annotating and tagging imagery information objects.

Abstract: The invention relates generally to a medical apparatus and method of using the same for receiving and transmitting streaming medical imagery and audio signals in real time, and allowing remote operators to annotate and telestrate with same. The invention acquires streaming medical imagery and audio signals through a telestreamer input device, allowing users to electronically collaborate, generally by telestrating, annotating, and sketching image overlays on streaming medical imagery. Video images of streaming imagery data displayed on a monitor are superimposed onto a virtual mesh projected via computer graphics. The vertices of the mesh move according to equations of motion based on a computational physics engine. Virtual tools are projected above the mesh via computer graphics. These virtual tools interact with the virtual mesh according to the physics engine.