Has ML Reached its Potential in the Healthcare Industry?

With an ever-expanding global population, the healthcare system is under tremendous pressure to deliver affordable health care. Now, more than ever, people need greater, smarter healthcare systems, software, and wearable technology that will allow them to lead happier lives and extend their lifetime. Artificial Intelligence in Healthcare is expected to grow from $2.1 billion to $36.1 billion by 2025, displaying a CAGR of 50.2% over the span. 

For decades, the healthcare sector has been an early adopter of new technology and has gained many benefits from it. Machine learning (AI) has indeed played a key role in many areas of health care, including the development of new medical procedures, the handling of patient data and records, and the treatment of chronic diseases. It is understood that hospitals, clinics, and other healthcare organizations around the globe are gradually beginning to recognize the need for digitization and integration within administrative processes. Moreover, technology has contributed to the discovery and development of new medicines that already have tremendous potential in helping people with difficult conditions. More specifically, the increasing use of machine learning has enabled scientists and researchers to create a range of strategies for treating and diagnosing a disease

3 Ways Healthcare Apps Make Use of Machine Learning

The healthcare industry has generated plenty of data. The new method of data collection, such as sensor-generated data, has helped this industry to find a spot in the top.

What if this data can be used to provide better healthcare services at lower costs and increase patient satisfaction? Yes, you heard it right. It’s actually possible by applying machine learning (ML) techniques in the healthcare industry.