Trans-Atlantic Tele-Robotic Medicine Breakthroughs

While in Germany, Partho P. Sengupta, MD, of Icahn School of Medicine at Mount Sinai used a computer to perform a robot-assisted trans-Atlantic ultrasound examination on a person in Boston. In another study Kurt Boman, MD, of UmeƄ University in Sweden in collaboration with Mount Sinai, showed how a cardiologist's video e-consultation, coupled with a remote robot-assisted echocardiogram test, dramatically reduces the waiting time for a diagnosis faced by heart failure patients who live in a rural communities far from the hospital from nearly four months to less than one month.

These two Mount Sinai research studies appeared simultaneously in the August issue of the Journal of the American College of Cardiology-Imaging.

"The two studies give us a glimpse of what to expect in the near future, a patient-friendly imaging technology at your doorstep," says Jagat Narula, MD, PhD, the senior author of both research studies who serves as the Director of the Cardiovascular Imaging Center and Associate Dean of Global Research at Icahn School of Medicine at Mount Sinai.

"These studies lift the robotic imaging and telemedicine to the next level," says Sherif F. Nagueh, MD, Medical Director of the Echocardiography Laboratory at the Methodist DeBakey Heart and Vascular Center in Houston, Texas who authored the accompanying editorial about the two studies in JACC-Imaging.

"Our first-in-man experiment shows long-distance, telerobotic ultrasound examinations over standard internet are possible," says Dr. Sengupta, who is Director of Cardiac Ultrasound Research at Icahn School of Medicine at Mount Sinai and Chair of the New Technology Task Force at the American Society of Echocardiography. "Our successful experiment opens up a new frontier for the use of remote, robotic ultrasound imaging that could potentially be more efficient and cost-effective overall for healthcare access and delivery."

In the first study, Principal Investigator Dr. Sengupta and researchers tested the use of a small, lightweight robotic-arm with built-in ultrasound technology stationed in Boston and connected to a personal computer with a low-bandwidth Internet connection in Munich, Germany. The robotic ultrasound exam of a person's carotid artery in their neck was completed in just four minutes.

"This feasibility and time-efficiency of long-distance, telerobotic ultrasound may help expand the role of imagers to care for patients online virtually lending a true 'helping hand' remotely and providing a patient's care team expert guidance," says Dr. Sengupta of Mount Sinai. Interestingly, in the study experiments both advanced experts and early trainees on robotic ultrasound were able to operate the telerobotic technology.

In the second study, Dr. Boman and colleagues randomized half their study patients to remote consultation and the other half to standard of care referral to the hospital. Remote consultation and the robotic echocardiogram exam were conducted on the same day of a patient's visit to their local Primary Healthcare Center located more than 100 miles away from the hospital. Study results show, the total diagnostic process time was significantly reduced from 114 to 27 days in those patients receiving remote consultation. Also, the patient's wait time until obtaining a specialist consultation was reduced from 86 to 12 days, with 95 percent of remote consult patients claiming remote consult to be a superior strategy.

"As a result of our pilot study, we were able to establish a safe and efficient e-health solution to improve the comprehensive, convenient examination of suspected heart failure patients in a rural community of northern Sweden and improve their physician care team's communication," says Dr. Narula of Mount Sinai. "This pilot study may serve as a future model for use of e-consults and robotic imaging in similar rural communities to improve access to specialists and the latest diagnostic technology globally."

"In clinical medicine, the use of more portable low-cost, safe, non-radiation using ultrasound imaging technology is growing for diagnosis, patient monitoring, and procedural, and surgical planning," says Valentin Fuster, MD, PhD, Director of Mount Sinai Heart at Icahn School of Medicine at Mount Sinai and the new Editor-in-Chief of the Journal of the American College of Cardiology (JACC). "The technology may be key to accelerating greater local and global healthcare access more efficiently and cost-effectively for patients, doctors, communities, and hospitals in need."

According to researchers, on-demand, virtual robotic ultrasound could be used in a wide variety of clinical setting collaborations ranging from timely in-hospital or emergency room patient imaging studies, community screenings, or even within dangerous locations such as war zones.

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Two Artificial Intelligences Talk to Eac…

Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

AI-Based App can Help Physicians Find Sk…

A mobile app that uses artificial intelligence, AI, to analyse images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...