To meet the growing demand for care, medical technology leaders are turning to AI tools that can help radiation oncologists provide high-quality, individualized treatment faster.
Trusted by more than 800 growing companies
Most security disasters in the healthcare industry are caused first by human error and misuse and physical theft and hacking second. Electronic Health Records or EHRs not only structure patient information but also allow for safe access and more personalized care.
In the US alone, over 12 million patients are misdiagnosed annually. Deep learning applied to healthcare can radically improve that statistic: Instead of following a routine checklist, healthcare professionals can benefit from the informative by-product of algorithms that can read data using computer vision,
Running any medical facility is a complex, multi-faceted undertaking rife with the possibility of making unfortunate decisions. The obvious, well-documented risk level is high. Data-driven software provides clinicians with the opportunity to make better sense of their data – schedule more efficiently, create
Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is difficult to identify all possible ADRs of a drug before it is marketed. We developed a new model based on data mining technology to predict potential ADRs based on available drug data.
“I knew that if I failed I wouldn’t regret that, but I knew the one thing I might regret is not trying.”
AI Lab Founder and CEO
Showcase of awesome works we have done for our clients
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.
AI and machine learning move from a custom and reactive approach to more standardized and proactive management of patient care.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
