Over the last decade, Artificial Intelligence (AI) has made rapid advances, which have impacted every industry in the world. One of the industries that AI has completely transformed is the healthcare sector.
In the global healthcare industry, there is currently a shortage of qualified manpower – physicians, nurses, and healthcare workers. This has put a huge stress on the existing healthcare workers. AI can help the healthcare industry overcome these challenges.
However, AI still has a long way to go, especially in improving healthcare data privacy. Blockchain is being considered for this purpose, as it will ensure complete transparency and privacy of patient data.
In order to learn what’s new on the horizon we asked several experts to share interesting examples of AI in Healthcare with us.
Read on to find out what experts think about the impact of AI in healthcare.
What is the most interesting example of AI (Artificial Intelligence) in healthcare you have recently come across? Why is it interesting or different?
1) Kristie Leong M.D.
The future is here, and robotic surgery is becoming a reality. The potential for robots, guided by artificial intelligence, to perform surgical procedures is enormous. Robots have advantages that humans don’t have. They have the ability to work equally with both hands and their wrists can rotate 360 degrees to get into tight spaces. Smaller incisions, with less risk of infection and scarring, will become the norm as robotic surgeons can be more precise. Plus, robotic surgeons aren’t subject to hand tremors, a common problem among older surgeons. Of course, surgeons will still play an important role in the operating room to ensure that the surgery runs smoothly. Yes, surgery is about to change and it will, in many ways, benefit the patient as well as the surgeon.
2) David Draghinas
One of the most interesting opportunities for AI in healthcare involves “cognitive surgical robots”.
Robotic surgery is already a reality. Utilizing AI to enhance surgical abilities and improve patient outcomes could have an amazing impact on patient’s lives and healthcare costs.
3) Karen S. Sibert MD, FASA
Just today, the journal Anesthesiology published an exciting new study demonstrating how machine learning helped fine-tune an algorithm to predict dangerously low blood pressure during surgery 15 minutes BEFORE it happens! This heads-up can be critically important, just like a warning before a tsunami. Full disclosure — I’m a co-author.
4) Amesh Adalja MD
Senior Scholar, Johns Hopkins Center for Health Security
To me the most interesting example of AI in healthcare is its use for outbreak detection. The diffusion of social media, smart phones, and electronic health records provides vast amounts of information that potentially harbor important information that, when properly interpreted, could be the early signal of an outbreak of an infectious disease. Over time, as these tools are refined and become more specific, they have the potential to facilitate early preemptive action that could be decisive.
5) Patricia Salber, MD
CEO, The Doctor Weighs In
Enlitic has developed AI-powered CT lung cancer screening that is more accurate than traditional CT screening. Examination of cases of biopsy-proven lung cancer has also allowed them to characterize image abnormalities seen on scans that were taken before the diagnosis was made making earlier diagnosis and better outcomes possible.
6) Dr. Minas Chrysopoulo
Surgeon & President at PRMA Plastic Surgery
For me it’s #AI reading #pathology slides (eg #BreastCancer) and #radiologyscans. This has huge potential in terms of improving efficiency and patient safety.
7) Virginia Thornley, M.D.
I saw in the office a cardiac monitor recording cardiac arrhythmias 14 days then downloads into a computer to be read. Patient enters data in app. It is accessible technology for doctor and patient. Loop monitors need surgery and standard holter monitors record 48 hours. It’s innovative.