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How AI is Revolutionizing Healthcare | Health Innovation Matters Podcast

AI in Healthcare

MBX Systems' Roger Lam, Director of Engineering, was featured on the Health Innovation Matters Podcast to discuss how AI is revolutionizing healthcare.

AI is revolutionizing the healthcare industry by both pushing cutting-edge boundaries in various specialties and by augmenting productivity. AI machine learning is propelling specialties such as radiology, oncology, pharmacology but can also streamline other processes such as paperwork and communication. This has advanced the quality of care and can help accelerate diagnosis by removing the human error factor. According to one article, 50-60% of General Practitioners that don't use AI miss red flags from cancer patients. AI is very good at recognizing data that could be easily overlooked. Instead of reading through several pages of patient history, AI/machine learning can present a chart that shows where there may be a risk of cancer.

AI Apprehension

There is no doubt that some jobs will be replaced by AI or automation in any industry. How do we counteract this fear with Healthcare? Instead of just looking at replacing the labor, we need to be looking at how we can make patient care better, faster and more accurate. There are so many things in healthcare that could be made better, and nurses and doctors can save time and put more focus on the human aspect. Computer vision and machine learning is not meant to replace the touch of healthcare providers, just make their workflows more efficient. Whenever a new tool is released that changes the way people work, there will always be a need for reeducation. Med tech companies need to get into AI as soon as possible because other companies will join first and beat them to it. 

Building Block Solution

Instead of reinventing the wheel for your application deployment, rely on companies that have already created the software and hardware building blocks. Pretrained AI softwares like NVIDIA Clara Guardian can get you 80% of the way to your functioning application. You could build the technology from scratch if you choose, but using a pre-trained software can reduce development time from over 1 year, to as little as 2 months. On the hardware side, MBX created the Kori platform during the pandemic because many companies were coming to us looking for an AI mobile cart that was quick to deploy. For example, Kori was able to be integrated with software that can perform thermal imaging and mask detection. But since the beginning of the pandemic, we have realized that Kori can be utilized in so many different applications. Kori is 60601 certified and, with so many other details already figured out for you, you basically just get to say “How do I want my patient to use this?” Then we take those details and recommend the best technology to get the job done in a time and cost efficient manner. 

About MBX

If you’re looking to bring MedTech solutions to market faster on next gen hardware or if you need engineering guidance to accelerate your AI application development, talk to MBX Systems. We are dedicated to improving the hardware experiences for embedded, data center and edge technology developers. We are a winner of the Dell Technology’s 2021 Partner of the Year Award.

What’s next for MBX? We are sponsoring the Innovation Live Pavilion at HIMSS 22. If you are planning on attending, we would love to meet up and show you our deployment-ready hardware solutions.

Roger Lam is Director, Engineering, at MBX Systems.
About Roger Lam

Roger Lam is the Director of Engineering, at MBX Systems, an OEM/ODM of embedded, edge and data center devices for medical ISVs and OEMs. Roger leads a team of engineers who develop next-gen hardware platforms for medical devices and AI/machine learning applications, to reduce the time and complexity of bringing inferencing-based solutions to market. Roger has developed computing products over the past 16 years for medtech developers of all sizes, including GE, Siemens and Phillips.