(Newswire.net — March 30, 2023) — Artificial intelligence or AI is often mistaken for involving highly intelligent robots that are planning to take over the world. But we actually use AI-driven algorithms and data analysis in everyday life for a huge variety of different purposes. One of them is digital health.
Many of the biggest players in the digital health and wellness industry, like UAB Kilo Group, have tapped into the world of AI to create intelligent and incredibly useful apps that support user health. But how has the digital health industry advanced in the wake of the AI revolution?
Predictive Health
Predicting the future is a risky business, but with the advent of AI, it’s become a little more certain. Using health data, AI can use predictive analytics that allows apps to offer predictions on the way your health could progress.
This study published by Nature shows how machine learning can be used to predict and diagnose neurodegenerative diseases, reducing human errors and helping patients to get the help they need as fast as possible.
Furthermore, research from the Current Diabetes Reports shows that this predictive analysis and machine learning, already offering predictive models for diabetes, will soon be maximized and will be able to enhance the accuracy of current prediction models, too.
This ability to create predictive data comes from the information plugged into apps, like Kilo Group Klinio app, and formulating the data into accurate predictions as to what is to come.
Trend Analysis
In addition to predictive analysis, AI also allows for in-depth trend analysis.
User data is fed into algorithms to produce more targeted content and to help users make the changes they need to maintain overall health and manage their condition. Where a human may not detect small fluctuations in health indicators like heart rate, AI can.
Big data, which is essentially just massive amounts of data points, is incredibly useful in predictive health models and analysis. It can be used to inform new research into a range of chronic illnesses, and AI helps us to analyze data points that may be overlooked by the human eye.
Research in The Journal of Big Data outlined how AI can help to inform predictive and prescriptive models which improve outcomes across healthcare settings, including in the form of personalized care. Further research in the Engineering journal also pointed out that AI could be used to find novel solutions in biomedicine.
Personalized Care
AI is multifaceted and has advanced digital healthcare in a number of ways, and one of the most significant is personalizing healthcare. While trend analysis and predictive modeling have been used for many years, and with some success, the ability to personalize healthcare is incredibly difficult for humans alone. With so many patients and so little time, the average healthcare provider cannot create customized plans for everyone.
However, with the support of digital healthcare apps, where users are inputting real-time data about their health, including metrics like blood sugar levels and blood pressure, AI can do the work that a single human cannot.
From weight management to the management of chronic conditions, much research has found that personalized care plans are integral to better care. Indeed, this article published in the European Journal of Public Health outlines the many benefits of such an approach.
The birth of AI has had a profound impact on digital health and wellness, and Kilo Group has taken advantage of them to create a range of highly effective apps that users around the world are already benefiting from.