Automation is the future of any industry. Wherever manual labor performs repetitive and predictable tasks, robots have replaced them, increasing efficiency and decreasing risks. The healthcare industry is no exception to this.
Routine surgical procedures typically involve certain mundane tasks, both before and after the crux of the problem has been addressed. Involving robotics allows the reduction of the attention span necessary for humans. This allows more procedures to be performed.
The logistic support provided by AI technologies allows medical professionals to more efficiently treat their patients, with minimal risk and also causes less fatigue.
Here are the Top 6 Robotic Applications that are Changing the Healthcare Industry:
Ekso Bionics primarily focuses on stroke rehabilitation. The primary design involves an exoskeleton for patients suffering postoperative inabilities following a stroke. Other bodily impairments can also be addressed.
The integrated robotics can gather patient data such as physical movements and other activities that stagnate following a medical emergency. It also records the emotional despair patients suffer. This helps in both recovery and analyzing data patterns.
RASD – Robotically Assisted Surgical Robot:
RASD is principally used to assist surgeons during routine surgical procedures. Invasive surgeries requiring incisions at specific locations are made more precise, preventing certain complications that surgeons previously faced during such procedures.
RASD allows surgeons to be more accurate in their surgical approach to minimize risks and damage to other unwanted body areas. Moreover, besides assisting in surgeries, RASD also deals with postoperative communications with patients and their caregivers and monitors the patients for any potential conditions that may develop after these surgeries.
Telepresence (mHealth) Applications:
When medical robotics are augmented with artificial intelligence, the result is known as telepresence or mHealth. This helps doctors perform several routine procedures remotely; remote consultation is an essential aspect.
mHealth applications have been beneficial during the pandemic when lockdowns restricted people’s physical movements. The applications have health doctors diagnose and treat various conditions remotely. Although not effective in complicated surgeries, the most routine and minor procedures can be conducted safely over these telepresence platforms.
This is one of the AI-integrated medical software that helps predict disease outcomes by assessing pre-existing patterns already present in the database, subject to algorithms.
Named after the detective’s assistant created by Conan Doyle in the late 19th century Dr. John Watson, this software has proven useful in predicting cancers, heart diseases, or diabetes.
IBM’s Watson has helped reduce decision-making time for doctors, thus benefiting patient care greatly.
Suggestive Treatment Applications:
Another AI-assisted predicting software for medical diagnoses, Suggestive Treatment Applications, can also predict diagnoses and the course of progression of a disease. This also helps reduce treatment time for patient care, making it critical for the healthcare sector.
One of the most remarkable aspects of this application is that it also considers several comorbidities a patient may have before arriving at a final diagnosis. The application can be programmed to be tailored to the needs of a single type of disease or patient and offers treatment suggestions that help doctors diagnose and treat these conditions fairly quickly before complications begin to set in.
Apart from aiding in diagnosing and treating patients, this software also helps in scrutiny. The primary role of Detective Applications is to scrutinize prescriptions and point out any fallacies or errors in treatment.
Apart from this, they also make doctors aware of the potential complications that may arise while pursuing a particular line of treatment.
Although healthcare automation was more rooted in science fiction than a fact a few decades back, today, it is as accurate as the disease itself. From diagnosing patients by detecting specific patterns to identifying potential complications from a line of treatment, AI-assisted medical robotics is currently in its heyday.
On the other hand, it also significantly reduces the fatigue that doctors and surgeons have faced since the inception of medical science itself. Performing minor and repetitive risk-free surgical procedures is a baseline for such applications. This also prevents surgeons and physicians avoid the fatigue that comes with performing these repetitive and exhausting procedures regularly. Indeed the future of the medical profession lies in the hands of AI-integrated robotics.