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Key Trends in Bioengineering to Watch for in 2022

Life Sciences Review | Thursday, December 09, 2021
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Several new developments are now altering the bioengineering sector, and they may substantially influence the course of health care research in the following years.


Fremont, CA: Biomedicine and bioengineering have frequently been at the forefront of healthcare innovation. Major advances in the profession, such as X-rays, biosensors, IVF, and cell treatments, can occasionally alter how doctors generally approach patient care.


Several new developments are now altering the bioengineering sector, and they may have a substantial influence on the course of health care research in the following years.


These are some of the most significant recent advances in bioengineering and how they may be used by healthcare practitioners shortly.


• Surgical Robotics


A new generation of robotics advances has a significant influence across a wide range of sectors. In bioengineering, AI-assisted surgical robots are assisting surgeons in the operating theatre.


While surgical robots have been around for decades, these latest ones have AI algorithms that can help doctors perform better. For example, smoothing algorithms get driven by AI to eliminate jitters or noise in recordings of a surgeon's hand movement, allowing for an exceedingly accurate and exact translation of their trajecto


 


• Telesurgery


Aside from better accuracy and shorter recovery times, robots may enable telesurgery or remote surgery.


Telesurgery involves the surgeon controlling a robot from another medical institution via a high-speed internet connection. The telesurgery robot precisely follows the doctor's hand motions or inputs, allowing the doctor to operate on a patient from hundreds of mile's away.


• Artificial Intelligence in Medical Imaging


During the COVID-19 pandemic, radiologists got overburdened by the number of chest CT images from patients that needed to be analyzed; therefore, AI technology got tested. As an assistive tool, new AI algorithms trained on data from prior CT scans get deployed in various hospitals and research settings. They aided clinicians by indicating prospective areas of interest in chest imaging and making diagnostic suggestions.


• Medical VR


Researchers have been striving for several years to use virtual reality — a technology that employs visual displays and motion controls to transport people to digital settings — to medicine. Medical VR applications may transfer patients to a virtual world and provide them with fresh stimuli, which help them recall old memories and enhance their quality of life in one research.


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