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Handheld surgical robotic may also help stem deadly blood loss

Matt Johnson (proper) and Laura Brattain (left) take a look at a brand new medical system on a synthetic mannequin of human tissue and blood vessels. The system helps customers to insert a needle and guidewire shortly and precisely right into a vessel, an important first step to halting speedy blood loss. Picture: Nicole Fandel.

By Anne McGovern | MIT Lincoln Laboratory

After a traumatic accident, there’s a small window of time when medical professionals can apply lifesaving remedy to victims with extreme inner bleeding. Delivering one of these care is complicated, and key interventions require inserting a needle and catheter right into a central blood vessel, by means of which fluids, medicines, or different aids will be given. First responders, akin to ambulance emergency medical technicians, usually are not educated to carry out this process, so remedy can solely be given after the sufferer is transported to a hospital. In some cases, by the point the sufferer arrives to obtain care, it might already be too late.

A group of researchers at MIT Lincoln Laboratory, led by Laura Brattain and Brian Telfer from the Human Well being and Efficiency Methods Group, along with physicians from the Heart for Ultrasound Analysis and Translation (CURT) at Massachusetts Normal Hospital, led by Anthony Samir, have developed an answer to this drawback. The Synthetic Intelligence–Guided Ultrasound Intervention Machine (AI-GUIDE) is a handheld platform expertise that has the potential to assist personnel with easy coaching to shortly set up a catheter into a typical femoral vessel, enabling speedy remedy on the level of harm.

“Simplistically, it’s like a extremely smart stud-finder married to a precision nail gun.” says Matt Johnson, a analysis group member from the laboratory’s Human Well being and Efficiency Methods Group.

AI-GUIDE is a platform system fabricated from custom-built algorithms and built-in robotics that might pair with most industrial moveable ultrasound gadgets. To function AI-GUIDE, a person first locations it on the affected person’s physique, close to the place the thigh meets the stomach. A easy concentrating on show guides the person to the right location after which instructs them to drag a set off, which exactly inserts the needle into the vessel. The system verifies that the needle has penetrated the blood vessel, after which prompts the person to advance an built-in guidewire, a skinny wire inserted into the physique to information a bigger instrument, akin to a catheter, right into a vessel. The person then manually advances a catheter. As soon as the catheter is securely within the blood vessel, the system withdraws the needle and the person can take away the system.

With the catheter safely contained in the vessel, responders can then ship fluid, drugs, or different interventions.

AI-GUIDE automates almost each step of the method to find and insert a needle, guidewire, and catheter right into a blood vessel to facilitate lifesaving remedy. The model of the system proven right here is optimized to find the femoral blood vessels, that are within the higher thigh. Picture courtesy of the researchers.

As straightforward as urgent a button

The Lincoln Laboratory group developed the AI within the system by leveraging expertise used for real-time object detection in photographs.

“Utilizing switch studying, we educated the algorithms on a big dataset of ultrasound scans acquired by our scientific collaborators at MGH,” says Lars Gjesteby, a member of the laboratory’s analysis group. “The photographs include key landmarks of the vascular anatomy, together with the frequent femoral artery and vein.”

These algorithms interpret the visible information coming in from the ultrasound that’s paired with AI-GUIDE after which point out the right blood vessel location to the person on the show.

“The great thing about the on-device show is that the person by no means must interpret, and even see, the ultrasound imagery,” says Mohit Joshi, the group member who designed the show. “They’re merely directed to maneuver the system till a rectangle, representing the goal vessel, is within the middle of the display screen.”

For the person, the system could appear as straightforward to make use of as urgent a button to advance a needle, however to make sure speedy and dependable success, lots is going on behind the scenes. For instance, when a affected person has misplaced a big quantity of blood and turns into hypotensive, veins that will usually be spherical and filled with blood grow to be flat. When the needle tip reaches the middle of the vein, the wall of the vein is prone to “tent” inward, moderately than being punctured by the needle. In consequence, although the needle was injected to the right location, it fails to enter the vessel.

To make sure that the needle reliably punctures the vessel, the group engineered the system to have the ability to examine its personal work.

“When AI-GUIDE injects the needle towards the middle of the vessel, it searches for the presence of blood by creating suction,” says Josh Werblin, this system’s mechanical engineer. “Optics within the system’s deal with set off when blood is current, indicating that the insertion was profitable.” This system is a part of why AI-GUIDE has proven very excessive injection success charges, even in hypotensive eventualities the place veins are prone to tent.

Lincoln Laboratory researchers and physicians from the Massachusetts Normal Hospital Heart for Ultrasound Analysis and Translation collaborated to construct the AI-GUIDE system. Picture courtesy of Massachusetts Normal Hospital.

Not too long ago, the group printed a paper within the journal Biosensors that studies on AI-GUIDE’s needle insertion success charges. Customers with medical expertise starting from zero to larger than 15 years examined AI-GUIDE on a synthetic mannequin of human tissue and blood vessels and one skilled person examined it on a sequence of dwell, sedated pigs. The group reported that after solely two minutes of verbal coaching, all customers of the system on the factitious human tissue had been profitable in inserting a needle, with all however one finishing the duty in lower than one minute. The skilled person was additionally profitable in shortly inserting each the needle and the built-in guidewire and catheter in a few minute. The needle insertion velocity and accuracy had been akin to that of skilled clinicians working in hospital environments on human sufferers. 

Theodore Pierce, a radiologist and collaborator from MGH, says AI-GUIDE’s design, which makes it secure and simple to make use of, straight interprets to low coaching necessities and efficient efficiency. “AI-GUIDE has the potential to be sooner, extra exact, safer, and require much less coaching than present guide image-guided needle placement procedures,” he says. “The modular design additionally permits straightforward adaptation to quite a lot of scientific eventualities past vascular entry, together with minimally invasive surgical procedure, image-guided biopsy, and imaging-directed most cancers remedy.”

In 2021, the group acquired an R&D 100 Award for AI-GUIDE, recognizing it among the many 12 months’s most modern new applied sciences obtainable for license or available on the market. 

What’s subsequent?

Proper now, the group is continuous to check the system and work on absolutely automating each step of its operation. Specifically, they need to automate the guidewire and catheter insertion steps to additional scale back danger of person error or potential for an infection.

“Retraction of the needle after catheter placement reduces the possibility of an inadvertent needle harm, a severe complication in observe which may end up in the transmission of ailments akin to HIV and hepatitis,” says Pierce. “We hope {that a} discount in guide manipulation of procedural parts, ensuing from full needle, guidewire, and catheter integration, will scale back the danger of central line an infection.”

AI-GUIDE was constructed and examined inside Lincoln Laboratory’s new Digital Integration Know-how Lab (VITL). VITL was constructed with the intention to convey a medical system prototyping functionality to the laboratory.

“Our imaginative and prescient is to quickly prototype clever medical gadgets that combine AI, sensing — significantly moveable ultrasound — and miniature robotics to handle essential unmet wants for each navy and civilian care,” says Laura Brattain, who’s the AI-GUIDE challenge co-lead and in addition holds a visiting scientist place at MGH. “In working intently with our scientific collaborators, we purpose to develop capabilities that may be shortly translated to the scientific setting. We anticipate that VITL’s position will proceed to develop.”

AutonomUS, a startup firm based by AI-GUIDE’s MGH co-inventors, lately secured an possibility for the mental property rights for the system. AutonomUS is actively searching for buyers and strategic companions.

“We see the AI-GUIDE platform expertise changing into ubiquitous all through the health-care system,” says Johnson, “enabling sooner and extra correct remedy by customers with a broad vary of experience, for each pre-hospital emergency interventions and routine image-guided procedures.”

This work was supported by the U.S. Military Fight Casualty Care Analysis Program and Joint Program Committee – 6. Nancy DeLosa, Forrest Kuhlmann, Jay Gupta, Brian Telfer, David Maurer, Wes Hill, Andres Chamorro, and Allison Cheng supplied technical contributions, and Arinc Ozturk, Xiaohong Wang, and Qian Li supplied steering on scientific use.


MIT Information



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