In the 1900s, the life expectancy of an average American was just 47 years, whereas by 2000 that number increased to 77 years. While this can be attributed to other factors like safe water supply, a huge part of the credit goes to the advancement in medical technology in terms of diagnosis, medical devices, and better drug development.
Whenever we imagine a hospital room now, we begin to think of a room with several wires and beeping monitors interconnected to each other in a cold, chlorine smell-filled room. Needless to say, healthcare was one of the earliest adopters of technology.
In recent years, healthtech has remained a popular buzzword and the medical world has been making strides in developing cutting-edge technology for healthcare by leaping into AI and personalization. AI in healthcare is a relatively new concept but some companies have already dived head-first into it, like Google Health and IBM’s Watson Health. AI is being used in vast areas such as diagnosis, personalized medicine, drug development, medical imaging, patient monitoring, and a lot more.
Let us look at five healthtech companies today that have incorporated AI in healthcare and are making strides in the very world of healthtech.
Google health is a branch of Google merged with DeepMind that was established to “provide the most accurate and helpful information across services like Google Search, Maps, Assistant, Fit and WearOS Smartwatches”, for healthcare. It also mentions that they are “studying the use of artificial intelligence to assist in diagnosing cancer, predicting patient outcomes, preventing blindness, and much more. ”
Google Health has shown extraordinary efforts in researching AI with healthcare. You can view all their latest researches and the apps launched on their page. The most prominent achievement perhaps, was them developing an AI for spotting breast cancer, that can outperform human radiologists.
They also have been working on using AI to identify the aggressiveness of prostate cancer, AI to predict sight-threatening eye conditions, and more. Recently, they have launched an Exposure notification API in collaboration with Apple that helps public health agencies in contact tracing for COVID-19, and an anxiety self-assessment on Search to help people understand their anxiety.
IBM Watson Health
Watson Health is IBM’s dedicated HealthTech branch that helps its clients facilitate medical and clinical research and provides appropriate healthcare solutions. It was established to “bring data, technology, and expertise together to transform healthcare”.
They have built some interesting and helpful AI healthcare products like IBM Watson for Genomics, which enables clinicians to provide personalization in healthcare for cancer patients in a scalable manner. They also developed AI models that predict breast cancer with radiologist-level accuracy.
IBM Watson’s other notable products are Watson Oncology Clinical Trial Matching, Health Insights, Watson Explorer, and many more that you can learn about on their page.
K Health is a telemedicine app that provides data-driven healthcare. Imagine you have a small suspicion that you are showing symptoms of something but going to the doctor’s office can seem like an expensive and time-consuming task, not to mention the risk in times of pandemic like COVID-19, you might want a better option.
There are a lot of symptom checkers online, but they might not be accurate, or you simply might not trust them. K Health provides a solution. You can check your symptoms in this app, answer a couple of questions about yourself like age, gender, and medical history, and within minutes, with the help of AI, it will provide you with information about how people like you were diagnosed and treated by the doctors when they were in a similar situation.
This means it provides a personalized result using Artificial Intelligence which is more accurate and trustworthy than other mere symptom checkers. As an additional feature, you will also be able to chat with doctors with some extra fee, and they can refer you to specialists, order lab tests, provide you advice, and give prescriptions.
CloudMedX Health is a company based in California that aims to “make healthcare affordable, accessible and standardized for all patients and doctors”. They have used AI to improve the existing workflows and generate automated clinical insights that improve operations, case management, and patient engagement for healthcare organizations.
CloudMedx’s predictive-analysis platform is facilitating personalized patient care by giving doctors the relevant information they need to do their job. They integrate natural language understanding and deep learning with major EHRs and healthcare organizations nationwide.
Arterys is a company with a mission to transform healthcare by combining three technologies: Medical Imaging, Cloud, and Artificial Intelligence. It describes itself as “World’s first internet platform for medical imaging”. Their platform was the first US FDA-cleared technology for leveraging cloud computing and deep learning in a clinical setting.
A significant portion of the world’s medical data is images, most radiologists face enormous workloads, and most tools found today lack accuracy. These are some problems that Arterys went off to tackle and now that cloud-based product has 5 FDA clearances and is active in 28 countries.
*Caboom is an internal project of Leapfrog.
*Also published at caboom.ai.