There are way too many manual processes in the healthcare and medical industry. The progress of electronic medical records has been wonderful, but the information provided by these records is not much better than the paper charts they replaced. Luckily, healthcare machine learning can help offer better information to doctors in order for them to better help patients. Here are some of the applications and benefits of healthcare machine learning and healthcare machine intelligence:
- Helps identify diseases and diagnoses. One of the biggest benefits of healthcare machine learning is the identification and diagnosis of diseases and other conditions and ailments that are often difficult to diagnose, anything from cancers that are hard to catch at the initial stage to genetic diseases.
- Drug discovery and manufacturing. Another huge clinical benefit of healthcare machine learning is the early stage drug discovery process. Research and development technologies like next generation sequencing and precision medicine can help find alternative paths for therapy of multifactorial diseases.
- Medical imaging diagnosis. A new breakthrough technology called the Computer Vision was discovered using machine learning and deep learning in healthcare. This new technology helps work on the image diagnostic tools for improved analysis of pictures.
- Personalized medicine. Healthcare machine learning also helps with more efficient and effective customized treatments by pairing individual health records with predictive analytics. Healthcare machine learning is making strides, and we will likely see a large number of biosensors and devices with sophisticated health measurement capabilities in the coming years.
- Machine learning based behavioral modification. Behavioral modification is an important part of preventative medicine, and there are a lot of startups popping up in the fields of cancer prevention and identification and patient treatment. Machine learning based apps are now used to recognize gestures we use and make in our everyday lives to help better understand unconscious behavior and help us make necessary changes in our lives to improve our health.
- Smart health records. Maintaining proper health records is an exhausting process, but machine learning can help ease these processes and save time, money and effort. Document classification methods along with machine learning techniques of recognition are gaining steam.
- Clinical trial and research. Machine learning has a diverse range of applications in the research and clinical trial world. Applying machine learning based predictive analysis on identifying possible clinical trial candidates can help researchers draw a pool from a wide range of data points, including previous doctor visits and social media.
If you are interested in healthcare machine intelligence, then look no further than Standpoint Software!