Artificial Intelligence has revolutionized every field in its wake—from online retail to autonomous cars. It’s no surprise, then, that healthcare industry, with its large amount of data, is on the verge of a major AI-driven transformation. In fact, the impact could perhaps than in any other field.
Next-Gen AI Companies that are transforming healthcare
Here are 6 Next-Gen AI Companies that are transforming healthcare in a big way:
Enlitic is a startup that aims to make medical diagnostics faster, more accurate, and more accessible by applying machine learning and image analysis to medical records. Today, medical data is available in a variety of formats. Some are structured data sources such as spreadsheets, databases, lab test results, and electronic health records, while others are unstructured data such as doctor’s notes and images.
Enlitic provides tools that enable physicians to quickly derive actionable insights from every kind of medical data. For example, their deep learning networks examine millions of images to learn how to automatically identify diseases. They can look for multiple diseases at once, thereby providing a lot of help in the areas of early detection, treatment planning, and disease monitoring. Their deep learning technology is capable of analyzing a wide range of unstructured data sources including radiology and pathology images, which results in deeper insights and greater accuracy for every patient. Their solutions are designed to integrate with existing healthcare infrastructures such as image viewers and archiving systems.
Ginger.io is a mobile app that aims to provide 24×7 care to people with depression, stress, and anxiety. Built using state-of-the-art predictive models developed by MIT scientists and engineers, Ginger.io uses a combination of smartphone technology and data analytics to deliver personalized and affordable healthcare.
People can choose from various care plans based on their needs—from self-management tools and coaching to therapy and psychiatry. By analyzing the data collected through surveys and users’ smartphone usage, their platform is able to provide personalized care tailored to each person.
Wellframe is building a next-generation, AI-based, healthcare delivery infrastructure in the form of a mobile care management platform. It creates personalized care protocols for every patient and communicates them via their mobile app. It also delivers a set of to-do lists and allows patients to directly interact with the caregiver.
Wellframe has partnered with a host of health plans and care providers to increase the reach of care management services and reduce healthcare costs, ensure care plan adherence, and improve quality of care.
There are 2 aspects to their mobile-enabled platform. First of all, they provide a “Care Team Dashboard” for care teams that has real-time patient insights and dynamic workflows for intelligent program delivery. Second, they also provide a patient mobile app that allows users to get ongoing support whenever they need it, as well as a daily checklist that automatically evolves based on patients’ health and stage of care.
Sadly, prescription errors are estimated to cause premature injury and deaths of more than 200,000 patients in the U.S. alone, every year. MedAware is on a mission to help treatment providers, payers, and pharmacy chains identify and eliminate a wide range of prescription errors in real-time, thereby saving lives, improving patient safety, and reducing healthcare costs.
Their patent-pending technology employs machine learning algorithms and big data analytics to analyze large-scale data present in electronic medical records (EMRs) and automatically learn how physicians treat patients in real-life scenarios. Prescriptions that deviate a lot from the standard treatment patterns are flagged as errors and communicated using their real-time alerting system and a wide range of risk management decision support tools.
Lumiata is building a predictive AI for healthcare that helps hospital networks and insurance carriers provide better care and reduce healthcare costs, by predicting health risks using data-driven precision. They are developing a medical graph by integrating disparate sources of data including claims, labs, EHRs, and more, to create a detailed and accurate member history. It is capable of analyzing hundreds of millions of data points to provide real-time insights and predictions related to symptoms, procedures, diagnoses, and medications.
It also helps improve payer-provider collaboration by identifying when members might be at risk of developing a certain condition and providing the supporting clinical evidence to help payers alert doctors and care managers.
Your.MD is an AI-based mobile app that helps people access basic personal healthcare information from anywhere, at any time. It uses a chatbot that asks you questions about your symptoms and provides easy-to-understand information about your medical condition and trustworthy advice from the UK’s National Health Service (NHS) to help you get better.
Your.MD is a useful tool for anyone who is unable to get to a doctor or doesn’t have access to a primary healthcare professional. It uses natural language processing to understand user inputs and applies machine learning algorithms to analyze its vast network of information to link symptoms to underlying causes.
Although Your.MD is capable of suggesting helpful remedies and measures for your condition, it is smart enough to know when you need to see a doctor and alert you immediately.
Wrapping it up
The availability of big data and the emergence of machine-learning technologies has certainly increased the adoption of artificial intelligence in healthcare, solving a number of problems for patients, doctors, and the healthcare industry overall.
At the moment, AI-based healthcare tools are effectively playing a suggestion-making role, enhancing human efforts. What remains to be seen is if AI-based tools will play a decision-making role in the future. Only time will tell. For now, it’s good to know that artificial intelligence is helping us improve the quality of care and reduce healthcare costs.
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