Medical Robotics News

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Using AI Technology to Connect Chiropractors and Patients

As a chiropractor, the goal is to help patients live and feel better;

9 Oct 2020

New Handheld Robotic Exoskeleton Improves Lives of People with Limited or No Mobility

At the University of Alicante ArtefactosLAB, the Engineering Design and Technological Development Group (DIDET) has once again taken a step ahead concerning social innovation with the design of a new handheld robotic exoskeleton.

8 Oct 2020

Researchers Address Challenges in Robotic Surgery During COVID-19 Pandemic

Robotic surgery has a crucial role to play in the advanced management of bladder cancer, prostate cancer, and other medical disorders treated by urologists.

7 Oct 2020

Flinders Cardiology Uses AI to Promote Better Healthcare

Advanced algorithms developed with artificial intelligence (AI) techniques will be used to facilitate more accurate diagnosis of heart attacks and other common cardiac public hospital presentations under a new research partnership funded by the federal government.

7 Oct 2020

$3.2 Million Grant Awarded to Use AI for Improving Heart Transplant Outcomes

A team of researchers in the Perelman School of Medicine at the University of Pennsylvania, Case Western Reserve University, Cleveland Clinic, and Cedars-Sinai Medical Center, were recently awarded a $3.2 million grant from the National Institutes of Health (NIH) to enhance research for improving heart transplant outcomes for patients.

6 Oct 2020

NVIDIA Builds New AI Supercomputer to Solve Pressing Medical Challenges

NVIDIA today announced that it is building the United Kingdom’s most powerful supercomputer, which it will make available to U.K. healthcare researchers using AI to solve pressing medical challenges, including those presented by COVID-19.

6 Oct 2020

Study Suggests AI can Predict Patients at Extreme Risk for Severe Pain After Surgery

A new study presented at the ANESTHESIOLOGY® 2020 annual meeting suggests that artificial intelligence (AI) utilized in machine learning models can predict the patients who are at the highest risk of severe pain following surgery and assists in identifying who would profit most from personalized pain management plans that involve using of non-opioid alternatives.

5 Oct 2020