Invented by Bao Q Tran, Individual

The market for robotic medical systems has been rapidly growing in recent years, revolutionizing the healthcare industry. These advanced machines are designed to assist surgeons and healthcare professionals in performing complex procedures with precision and accuracy. The market for robotic medical systems is expected to witness significant growth in the coming years, driven by technological advancements, increasing demand for minimally invasive surgeries, and the need for improved patient outcomes. One of the key factors driving the growth of the market is the increasing prevalence of chronic diseases and the aging population. As the number of patients requiring surgical interventions continues to rise, there is a growing need for more efficient and effective surgical procedures. Robotic medical systems offer several advantages over traditional surgical methods, such as smaller incisions, reduced blood loss, shorter hospital stays, and faster recovery times. These benefits not only improve patient outcomes but also reduce healthcare costs in the long run. Another factor contributing to the growth of the market is the continuous advancements in robotic technology. Robotic medical systems are becoming more sophisticated, with improved imaging capabilities, enhanced dexterity, and better ergonomics for surgeons. These advancements enable surgeons to perform complex procedures with greater precision, leading to better surgical outcomes. Additionally, the integration of artificial intelligence and machine learning algorithms into robotic systems allows for real-time data analysis and decision-making, further enhancing the capabilities of these machines. The market for robotic medical systems is also being driven by the increasing demand for minimally invasive surgeries. Minimally invasive procedures offer several benefits, including reduced trauma to the patient, faster recovery times, and lower risk of complications. Robotic medical systems excel in performing minimally invasive surgeries, as they provide surgeons with a magnified, high-definition view of the surgical site and precise control over surgical instruments. This has led to a shift towards robotic-assisted procedures in various specialties, including urology, gynecology, general surgery, and orthopedics. Furthermore, the COVID-19 pandemic has further accelerated the adoption of robotic medical systems. The need for social distancing and reducing the risk of infection has led to an increased preference for robotic-assisted surgeries. These systems allow surgeons to operate from a console, away from the patient, minimizing the risk of exposure to infectious diseases. The pandemic has highlighted the importance of robotic medical systems in maintaining the continuity of surgical care, even in challenging circumstances. In terms of market segmentation, the market for robotic medical systems can be categorized into surgical robots, rehabilitation robots, telepresence robots, and pharmacy automation robots, among others. Surgical robots dominate the market, owing to their wide range of applications and high demand. However, other segments, such as rehabilitation robots, are also witnessing significant growth due to the increasing focus on post-operative care and rehabilitation. In conclusion, the market for robotic medical systems is experiencing rapid growth, driven by technological advancements, increasing demand for minimally invasive surgeries, and the need for improved patient outcomes. These advanced machines are transforming the healthcare industry by enabling surgeons to perform complex procedures with precision and accuracy. As the market continues to evolve, we can expect further advancements in robotic technology, leading to even better patient outcomes and improved surgical care.

The Individual invention works as follows

A system includes an AI visual processor that can classify and recognize anatomical features of humans, as well as a processor for controlling robot movement in order to reach an anatomical target.

Background for Robotic Medical System

The present invention is a medical robot.

Since Intuitive Surgical introduced the da Vinci robotic surgical system, many other robots have been developed. Now, healthcare providers are ‘digitalizing’. By collecting and analysing data from these robotic systems (such as tracking in-motion, capturing images etc.), healthcare providers are now able to improve surgical processes. The surgical process can be improved by using this data. U.S. Ser. No. The 10/517.681B2 disclosure discloses a method and system for using artificial intelligence to operate surgical robots (e.g. to perform laminectomy), which includes a surgical robotic, an artificial guidance system, a image recognition system, a database with past procedures, sensor data, electronic records, and imaging information. The AI guidance system can remove a layer from the tissue if it’s the desired type. If not, the image recognition system will identify the type of tissue present in the patient.

The COVID pandemic, on the other hand, has had a significant impact on our ability to travel in public spaces such as restaurants and parks, as well as semi-private spaces such as hotels and offices. Inflight transmission is a global health issue, as there are over 3 billion passengers on airlines each year. Air travel is a vehicle for rapid transmission of pandemics and newly emerging diseases.

The following claims summarize the embodiments of this invention.

This detailed description is illustrative and does not limit the invention. The following detailed description provides numerous specific details to help you understand the invention. The embodiments of invention can be implemented without these details. Other times, well-known methods, procedures and components have not been described to avoid obscuring aspects of embodiments of invention. The invention is only limited by the patented claims. Some elements in the drawings have been removed to better show the embodiments and the invention.

In one aspect, the system includes a robot, an AI visual processor that can classify and recognize anatomical features of humans, and a processor for controlling robot movement.

In another aspect of the mobile surgery system, it includes a camera and an AI visual processor that classifies and recognizes human anatomical characteristics, as well as a processor for controlling robot movement in order to reach an anatomical target. The AI visual processor is able to detect symptoms of pandemic infection on a patient such as lung lesions that are captured by body scanners. Implementations include scanners like X-rays, UWB scanners or ultrasound scanners. Active air masks are used for people who live in confined spaces such as planes, ships, and rail cars. Smart wearable/smart watches can use non-invasive vital signs sensors like temperature, heart rate and oxygen sensors to predict an individual’s symptoms of infectious diseases. Apps that track contacts on mobile phones can help confirm the diagnosis of infectious diseases.

In a third aspect, the system includes a robot, an AI visual processing processor that can classify and recognize anatomical features of the human body, and an interface for the surgeon to send commands to the robot to move to a specific anatomical target. The AI visual processor also recommends actions in order to assist the surgeon.

In another aspect, the system includes a camera and an UWB transmitter that provides anatomical scans for an AI processor, which can classify and recognize anatomical features of humans, as well as a processor controlling robot movement in order to reach an anatomical target. MIMO antennas can be used in implementations with the UWB transmitter.

In a second aspect, a robot is controlled by a processor that controls the movement of a robot to reach a specific anatomical target. The system includes a camera and an MRI-UWB combination to provide anatomical scans for an AI processor. UWB devices are compatible with MRI systems and can be used in implementations through MRI-compatible antennas. This helps to reduce interference. This MRI UWB combo allows the system to capture MRI images with moving objects.

The system can be classified as a nuclear ablation device, temperature controlled (hot/cold) liquid, steam, resistive heater, or RF heater, among others. The ablation device may be a nuclear device, temperature-controlled (hot/cold), liquid, steam or resistive heater.

The system can also include a camera and an AI processor that classifies and recognizes cancer features. It may also include an ablation tool to treat cancerous tissue on or near the anatomical feature. The ablation device may be nuclear, temperature-controlled (hot/cold), liquid, steam or resistive heater.

In another aspect, a system comprises a camera, a visual AI processor for classifying and recognising human anatomical characteristics, an actuator that provides a treatment and a controller to control robot movements to reach a targeted anatomical area and to operate an actuator based upon the recognized anatomical elements. An imaging hood can be used in embodiments when the medium within the lumen, such as blood, makes it difficult or impossible to visualize the tissue surrounding the lumen. The imaging hood can be deployed in any shape or size, and may define a contact lip or edge that is atraumatic for placement against the tissue of interest. In one embodiment, the hood assembly is positioned over a tissue area to be treated and visualized. The underlying tissue can be ablated using any number of energy modes (such as laser, HIFU, cryo or RF) while the camera is under computer visualization. A probe that delivers energy can be inserted into the working channels of a camera or robot arm, and then brought in contact with saline fluid inside the hood.

In a third aspect, the system comprises a hyperspectral scanner, an UWB transmitter that transmits anatomical scans for an AI processor, which can classify and recognize anatomical features of humans, and a controller to guide robot movements to a specific anatomical target. Embodiments may use fiber Bragg (FBG), coupled with the UWB, to detect temperature and pressure. They can also detect position, tilt and other factors. Other sensors, such as LIDAR cameras, or imaging devices, can be configured to insert into the patient. They can include a visual light sensor, an ultrasound imager, an optical coherence-domain reflectometry imager (OCDR), and/or optical coherence-tomography (OCT) images, when integrated, attached, contained within, and/or proximate the robot tip or lumen or other parts.

In a third aspect, the system includes an LIDAR camera and an UWB transmitter that transmits anatomical scans for an AI processor. The AI processor will classify and recognize anatomical features of humans, while a processor controls robot movement in order to reach an anatomical target.

The system also includes a high-definition map of human anatomy and a positioning system that provides anatomical positions to a processor for controlling robot movement in order to reach an anatomical target selected from the HD map.

The system also includes an AI processor that classifies and recognizes patient anatomical features in order to update the HD Map with changes made to the standard anatomy by the patient to produce a patient HD Map, and a positioning system which provides anatomical positions to a processor for controlling robot movement so as to reach an anatomical target selected from the HD map.

The system also includes an AI processor that classifies and recognizes patient anatomical features, to update the HD Map with personally identifiable changes, stored in a separate layer of data, to arrive at a Patient HD map from standard human anatomy. A positioning system provides anatomical positions to a processor for controlling robot movement so as to reach selected anatomical targets from the patient HD maps and positioning system.

In a second aspect, the system comprises a high-definition map of human anatomy, a positioning device that provides anatomical location, an AI processor for classifying and recognising human anatomical characteristics, and a controller to control robot movements to reach an anatomical target selected from the HD map, positioning system, and AI processing. Embodiments may make an incision using the HD map or, alternatively, to avoid making an incision or cutting, they can route a cable through an orifice in the patient’s body to the target. Other embodiments may deploy a device that can apply a nuclear, temperature-controlled (hot/cold), liquid, steam or resistive heater. Other embodiments may collect samples for analysis later at the patient’s position.

In another aspect, the system comprises a high-definition map of human anatomy, an anatomical positioning system, a camera equipped with an AI processor that classifies camera images and recognizes human anatomical characteristics, and a controller to control robot movements to reach an anatomical target selected from the HD map, positioning system, and AI processing. Embodiments may make an incision using the HD map or, alternatively, to avoid making an incision or cutting, they can route a cable through an orifice in the patient’s body to reach the target. Other embodiments may deploy a device that can apply a nuclear, temperature-controlled (hot/cold), liquid, steam or resistive heater. Other embodiments may collect samples for analysis later at the patient’s position.

In another aspect, a device includes an injectable or ingestible module or pill that autonomously navigates with high-definition map of the human anatomy to an anatomical destination and delivers a treatment. The module or pill receives anatomical positioning data via a positioning system. The pill/module has a camera that uses an AI processor for classification of camera images, which recognizes human anatomical characteristics, and a processor controlling the movement of the module/pill to reach the selected anatomical targets from the HD map based on AI processing. Embodiments may deploy a device that can apply a nuclear treatment, temperature-controlled (hot/cold), liquid, steam or resistive heater. Other embodiments may scan the target using visual, multispectral or HS scans for a subsequent treatment. Other embodiments may collect samples for analysis in the patient’s position.

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