Sometime soon, when you check into the hospital to undergo an operation, you may be surprised by the surgeon who is scheduled to perform the procedure. Instead of a walking and talking physician, your next surgeon may be a STAR, a Smart Tissue Autonomous Robot.
Developed by a team of doctors and scientists Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Health System, the Smart Tissue Autonomous Robot is capable of performing soft tissue operations on its own with minimal supervision from an attending surgeon. This autonomous procedure is a big step forward for robotic surgery, which typically uses a manually controlled robot that acts as an extension of a surgeon’s hands and not independently, as does the STAR system.
STAR has been designed from the ground up to handle the complexity of soft tissue surgery, which is employed to repair muscles, tendons, ligaments, nerves and other similar connective tissues. This type of surgery is difficult, requiring the surgeon to continually adjust his technique in response to changes in the elasticity of the tissue. Complexity aside, soft tissue surgery is a very common operation in the U.S. with more than 4.5 million soft tissue surgeries performed annually.
To handle the changing surgical conditions, STAR has been equipped with near-infrared fluorescent (NIRF) markers and 3D plenoptic vision. This technology provides a three-dimensional view of the tissue and allows the robot to detect even small changes that occur during the operation. A companion algorithm analyzes the incoming data and provides precise control over the robotic arm during suturing and other surgical functions. Force sensing, sub-millimeter positioning, and actuated surgical tools enable the robot to apply just the right amount of force to the tissue during surgery.
STAR has been used successfully in soft tissue surgeries on both dead porcine tissue and on live pigs. During trials, a surgeon was present to oversee the surgery, but the robot itself performed the soft tissue suturing autonomously. In the future, researchers hope to miniaturize the system and improve the sensors to expand the types of surgeries the system can perform.
San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.
Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.
Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.
The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.
AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.
The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.