Robotic artificial intelligence nasal/oral/rectal enteric tube

A robotic control and display center for use in automated, self-navigating placement of a catheter tube in a respiratory tract of a subject, the robotic control and display center comprising:

• wireless communication circuitry that communicates with and receives topographical image data and captured spectrometer data obtained from within the respiratory tract in real-time from a transceiver of the catheter tube in real time,
• the catheter tube comprising an articulated stylet disposed in a lumen of the catheter tube;
• processing circuitry configured to execute an artificial intelligence model configured to navigate the respiratory tract without manual input, where the artificial intelligence model:
• analyzes the real-time captured topographical image data to identify orifices and structures within the respiratory tract and assigns bounding boxes to the identified orifices and structures and a target destination,
• provides the assigned bounding boxes to a median-flow filtering module configured to predict a motion vector of the articulated stylet using sparse flow,
• determines navigation data based on at least one of the captured image data, the assigned bounding boxes, or the predicted motion vector,
• outputs the corresponding navigation data to a robotic control engine in real time,
• analyzes the real-time captured spectrometer data,
• identifies a biomarker to which the captured spectrometer data corresponds, wherein the biomarker is identified based on absorbance and/or percent transmittance of the captured spectrometer data and a corresponding chemical composition of the biomarker, and
• displays information related to the biomarker;
• and
• the robotic control engine configured to automatically and without manual guidance drive the articulated stylet disposed inside the catheter tube toward the target destination inside the respiratory tract based on the navigation data determined by the artificial intelligence model,
• wherein the navigation data comprises instructions to at least one of manipulate, articulate, rotate, or drive the articulated stylet.

A catheter assembly for automated, self-navigating placement of a catheter tube in a respiratory tract of a subject, the catheter assembly comprising:

• the catheter tube comprising:
• a tube wall that defines a lumen;
• an imaging device configured to capture image data, the imaging device disposed at a distal end of the catheter tube, the imaging device configured to capture the image data from within the respiratory tract in real-time;
• a spectrometer configured to capture spectrometer data from within the respiratory tract in real time, the spectrometer disposed at the distal end of the catheter tube,
• wherein the captured spectrometer data is used to identify a biomarker based on absorbance and/or percent transmittance of the captured spectrometer data and a corresponding chemical composition of the biomarker;
• a transceiver coupled to the imaging device and configured to wirelessly transmit the captured image data to a remote computer system in real time, the transceiver being disposed at the distal end of the catheter tube;
• and
• an articulated stylet disposed in the lumen,
• the articulated stylet configured to be automatically driven to a target location within a subject without manual guidance and based on at least the real-time captured image data,
• the articulated stylet having three degrees of freedom including plunge, rotation, and tip deflection, and each degree of freedom in the three degrees of freedom being independently controllable,
• wherein the remote computer system is configured to execute at least one artificial intelligence model configured to navigate the respiratory tract without manual input, where the at least one artificial intelligence model:
• analyzes the real-time captured image data to identify orifices and structures within the respiratory tract and assign bounding boxes to the identified orifices and structures,
• provides the assigned bounding boxes to a median-flow filtering module configured to predict a motion vector of the articulated stylet using sparse flow,
• determines navigation data based on at least one of the captured image data, the assigned bounding boxes, or the predicted motion vector, and
• outputs the corresponding navigation data to the transceiver in real time.