Articles tagged with "AI-in-healthcare"
‘World’s first’ surgical humanoid robot brings high precision in spine procedures
Switzerland-based LEM Surgical has introduced Dynamis, the world’s first commercially deployed surgical humanoid robot designed specifically for spine and orthopedic procedures. Showcased at CES 2026 within NVIDIA’s exhibition area, Dynamis features a three-arm robotic architecture that mimics human bimanual workflows, enabling surgeons to position instruments with sub-millimeter precision. The system integrates two robotic arms for surgical guidance and instrument handling, plus a third arm dedicated to controlling the navigation camera, all mounted on a mobile cart that minimizes operating room footprint. Dynamis leverages NVIDIA Isaac for Healthcare and onboard AI to compensate for micro-movements, enhancing stability and accuracy during complex spinal surgeries, including thoracic, lumbar, and sacral approaches. It has received FDA 510(k) clearance and is already in routine clinical use at Southern Hills Hospital in Las Vegas. Looking ahead, LEM Surgical plans to evolve Dynamis by incorporating NVIDIA’s Physical AI ecosystem to further advance hard-tissue robotic surgery. Future iterations
robotsurgical-robothumanoid-robotmedical-roboticsspine-surgeryAI-in-healthcarerobotic-surgeryBrain Gear Is the Hot New Wearable
The article highlights the emerging trend of brain-focused wearable devices that use electroencephalography (EEG) to monitor and interpret brain waves, moving beyond traditional fitness trackers. These devices leverage AI to analyze electrical impulses from the brain for various applications, such as improving sleep quality, enhancing productivity, and enabling new forms of interaction. For example, Elemind’s $350 headband uses acoustic stimulation to promote deeper sleep by shifting brain activity to delta waves, while Neurable’s $500 EEG-equipped headphones track concentration levels and encourage breaks to optimize work efficiency. Major tech companies like Apple are also entering the neurotech space, developing EEG-sensing AirPods and integrating brain-wave control into their Vision Pro augmented reality headset, enabling users to operate devices with their thoughts via brain-computer interfaces (BCIs). Additionally, startups and nonprofits are exploring open-source neuro apps and brain-controlled games, demonstrating the potential for brainwave-based interaction in entertainment and productivity. The article also discusses medical applications of brain wearables, such
IoTwearable-technologybrain-computer-interfaceEEG-devicesneurotechnologyaugmented-realityAI-in-healthcareNeocis unveils upgraded Yomi S robotic system for dental implants - The Robot Report
Neocis has introduced Yomi S, an upgraded version of its robotic system designed for dental implant surgery. The system incorporates YomiPlan, an AI-driven software that enhances surgical precision, streamlines workflows, and improves patient outcomes by reducing incisions and surgical time, which in turn shortens recovery periods and lessens discomfort. Yomi S features a smaller footprint, improved dexterity, enhanced visibility, and an AI-powered planning suite that automates complex preoperative tasks. It can be operated by a single practitioner using a foot pedal and touchscreen, reflecting Neocis’s focus on usability and efficiency in dental procedures. Despite the large potential market—nearly 200 million Americans missing at least one tooth and a significant number of older adults needing full arch replacements—robotics remains rare in dentistry. Neocis’s CEO, Alon Mozes, highlighted that dental robotics faces unique challenges, including a fragmented market with many small dental supply companies, limited venture capital investment, and slower R&D compared
roboticsdental-roboticssurgical-robotsAI-in-healthcaremedical-technologyrobotic-surgerydental-implantsWhy automation is the medicine that hospitals and the healthcare system needs - The Robot Report
Hospitals in the U.S. are facing critical workforce shortages, aging infrastructure, and financial constraints, with projections indicating a shortage of up to 124,000 physicians by 2033 and a need to hire at least 200,000 nurses annually. To address these challenges, healthcare systems are increasingly turning to automation, robotics, and artificial intelligence to improve efficiency and reduce the burden on staff. These technologies are transforming hospital logistics—the crucial flow of supplies, medications, and equipment—by automating routine tasks that previously consumed significant nursing time, thereby allowing clinical staff to focus more on patient care. Leading examples include the Cleveland Clinic and Cedars-Sinai Medical Center, which have implemented advanced robotic systems to handle material transport. Cleveland Clinic uses a fleet of 81 automated guided vehicles (AGVs) and over 1,000 carts to move a wide range of items across its campus, traveling over 1,000 miles daily and supporting its 1,400-bed capacity. This system has improved
robotautomationhealthcare-roboticsautonomous-mobile-robotshospital-logisticsAI-in-healthcaresmart-hospitalsRemedy Robotics, Mission Thrombectomy extend N1 System to blood clot removal - The Robot Report
Remedy Robotics Inc. has partnered with Mission Thrombectomy to expand access to endovascular thrombectomy, a critical procedure for removing blood clots in stroke patients, both in the U.S. and globally. Remedy will serve as Mission Thrombectomy’s exclusive robotics partner, collaborating closely with its extensive clinical network spanning over 100 countries and the Society of Vascular and Interventional Neurology (SVIN). The partnership aims to integrate Remedy’s N1 System—a remotely operated endovascular robot combining proprietary hardware and AI-enabled software—into stroke-thrombectomy workflows to improve the speed, safety, and effectiveness of treatment, especially in underserved regions. Endovascular thrombectomy is the most effective treatment for severe ischemic strokes but remains inaccessible to many; only about one-third of Americans have timely access, and less than 1% of people in low-income countries can receive it. Remedy Robotics and Mission Thrombectomy seek to address this disparity by leveraging Remedy’s telerobotic technology alongside Mission Thromb
roboticsmedical-roboticsteleroboticsendovascular-robotAI-in-healthcarestroke-treatmentremote-surgeryDiligent Robotics joins AgeTech Collaborative from AARP Accelerator Program - The Robot Report
Diligent Robotics, known for its Moxi robot deployed in over 25 U.S. hospitals to assist nurses with routine tasks, has been accepted into the AgeTech Collaborative from the AARP accelerator program. This eight-week initiative supports early-stage AgeTech startups focused on innovations for aging populations. The company views this as a significant milestone as it aims to extend Moxi’s use beyond hospitals into senior living and long-term care communities, addressing critical staffing shortages in these sectors. Moxi has already saved hospital staff nearly 600,000 hours and completed over 1.25 million deliveries of medications, lab samples, and supplies, demonstrating its ability to navigate complex environments and support clinical workflows. The senior care industry faces a looming labor shortage, with an estimated 18 million workers expected to leave by 2040 while 2.5 million new jobs are created, increasing demand for technology that enhances staff efficiency and care quality. Through the AgeTech Collaborative, Diligent Robotics will receive go-to-market
robothealthcare-roboticsmobile-manipulatorAI-in-healthcaresenior-care-technologyhospital-automationworkforce-efficiencyPerformance-Guided Surgery: Robots in the operating room
The article summarizes Episode 213 of The Robot Report Podcast, featuring Dustin Vaughan, VP of R&D for Robotics at Ascensus, who discusses the company’s focus on performance-guided surgery through their Luna platform. Vaughan emphasizes integrating augmented intelligence to improve clinical support systems, addressing regulatory and cybersecurity challenges, and highlights the promising future of surgical robotics, especially in pediatric care. The conversation reflects Ascensus’s commitment to innovative, cost-effective robotic solutions that enhance patient outcomes and operational efficiency. Ascensus’s Senhance system was recognized with a 2025 RBR50 award, underscoring its industry impact. The episode also includes insights from Anders Beck, VP of Technology at Universal Robots, on evolving collaborative robotics standards, and Scott Kuindersma from Boston Dynamics on robotics research. The news segment covers major industry developments: Figure AI becoming a robotics unicorn with a $39 billion valuation after its Series C funding, aiming to produce 100,000 humanoid robots in four years; and the shutdown of R
roboticssurgical-robotsAI-in-healthcarehumanoid-robotsrobotics-researchcollaborative-robotsautomation-in-surgeryEyebot gets $20M Series A to boost to expand eye care access
Eyebot, a Boston-based startup founded in 2021, has raised $20 million in a Series A funding round to expand its innovative vision care solution. The company offers a 90-second vision test via kiosks located in malls, universities, retail stores, pharmacies, schools, and airports, providing doctor-verified glasses prescriptions quickly and conveniently. By removing traditional barriers such as appointment delays, limited access, insurance complexities, and high costs, Eyebot aims to streamline vision care access. To date, the startup has conducted over 45,000 free vision tests and projects delivering more than half a million annually. Each test result is reviewed and approved by licensed eye doctors, ensuring clinical oversight and reliability, with referrals for in-person exams if abnormalities are detected. Eyebot’s model has gained traction with large U.S. partners and retailers, driving significant user engagement and revenue growth. The company leases its kiosks to optical retailers, eyewear brands, and independent practices, offering free vision
robothealthcare-technologyvision-test-kioskmedical-devicesAI-in-healthcaretelemedicinedigital-healthSurgical robot removes gallbladder without any human assistance
Researchers at Johns Hopkins University have developed an advanced surgical robot, SRT-H (Hierarchical Surgical Robot Transformer), that autonomously performed a complete 17-step gallbladder removal procedure on a realistic anatomical model without any human intervention. Unlike previous surgical robots, which operated under rigid, pre-marked conditions, SRT-H demonstrated expert-level adaptability by responding to unpredictable anatomical variations, complications, and voice commands, much like a human surgical trainee. This marks a significant milestone in surgical robotics, shifting from tool-assisted precision to intelligent, interactive execution capable of real-time adjustments during surgery. The robot was trained using videos of gallbladder surgeries on pig cadavers, learning through a combination of visual data and spoken feedback, similar to how a junior doctor is trained. Built on machine learning architecture akin to ChatGPT, SRT-H achieved 100% accuracy across multiple tests, even when faced with altered tissue appearance and randomized starting positions. This breakthrough suggests a future where autonomous surgical systems can handle the complexities and unpredict
robotsurgical-robotautonomous-surgerymedical-roboticsmachine-learningAI-in-healthcarerobotic-surgeryJohns Hopkins teaches robot to perform a gallbladder removal on a realistic patient - The Robot Report
Johns Hopkins University has developed a surgical robot, the Surgical Robot Transformer-Hierarchy (SRT-H), capable of autonomously performing a complex phase of gallbladder removal surgery on a lifelike patient model. Unlike previous robotic systems that operated under rigid, pre-mapped conditions, SRT-H adapts in real time to individual anatomical variations and unexpected scenarios, responding to voice commands and corrections from the surgical team much like a novice surgeon learning from a mentor. Built using machine learning architecture similar to ChatGPT, the robot demonstrates human-like adaptability and understanding, marking a significant advancement toward clinically viable autonomous surgical systems. The robot was trained by analyzing videos of surgeons performing gallbladder surgeries on pig cadavers, supplemented with task-specific captions. It successfully executed a sequence of 17 intricate surgical tasks—such as identifying ducts and arteries, placing clips, and cutting tissue—with 100% accuracy, though it took longer than a human surgeon to complete the procedure. This achievement builds on prior work where the team
robotsurgical-roboticsautonomous-surgerymachine-learningAI-in-healthcaremedical-robotsrobotic-surgeryForSight Robotics raises $125M for cataract surgery tech
ForSight Robotics has secured $125 million in a Series B funding round led by Eclipse, with participation from strategic investors including board member Fred Moll, the Adani Group, Reiya Ventures, and existing backers. This latest round brings the company’s total funding to $195 million. The capital will accelerate the development and commercialization of ForSight’s Oryom platform, which is promoted as the world’s first robotic surgery system specifically designed for cataract and other eye disease treatments. Oryom integrates AI algorithms, advanced computer vision, and miniaturized mechanical components to enable precise, consistent, and ergonomically improved ophthalmic surgeries, with capabilities to access both anterior and posterior segments of the eye. ForSight plans to initiate first-in-human clinical trials of the Oryom system within the year. Co-founder and CMO Dr. Joseph Nathan emphasized ophthalmology as a significant new frontier for surgical robotics, comparable in market potential and clinical need to general surgery’s earlier robotics revolution. The platform aims to
roboticssurgical-roboticsophthalmic-surgeryAI-in-healthcarerobotic-surgery-platformmedical-technologyForSight-RoboticsScientists develop painless biopsy patch thinner than a human hair
Scientists at King’s College London have developed a revolutionary biopsy patch embedded with nanoneedles that are 1,000 times thinner than a human hair, offering a painless, non-invasive alternative to traditional biopsies. Unlike conventional methods that require cutting or removing tissue, this patch gently extracts molecular information such as lipids, proteins, and mRNA directly from living cells without causing pain, scarring, or tissue destruction. This innovation could significantly improve diagnosis and monitoring of diseases like brain cancer and Alzheimer’s by enabling earlier detection and more frequent sampling, which was previously impossible with invasive biopsies. The patch’s development involved a multidisciplinary collaboration across King’s College London, the University of Edinburgh, and Ben Gurion University, combining expertise in nanoengineering, oncology, cell biology, and artificial intelligence. In preclinical studies, the patch successfully collected detailed molecular “fingerprints” from brain cancer tissues, with AI and mass spectrometry analyses providing real-time insights into disease progression and treatment response. The technology promises to
nanoneedlesbiopsy-patchnanotechnologymedical-devicespersonalized-medicineAI-in-healthcaremolecular-diagnostics