Artificial intelligence (AI) is being used in exciting ways to transform our lives. One of the most exciting use cases is how using AI can predict health issues like heart attack, diabetes, cancer, and depression.
Examples of How AI is Saving Human Lives
The deep-learning tool and AI algorithm developed at Cedars-Sinai offers patients personalized predictions of their heart health based on general patient data and heart imaging. It can predict diabetes risk earlier and improve patient outcomes. In a recent study conducted over 12 months on the data of over 1.2 million patients using Cedar Gate Analytics, 80% of patients with no known diabetes who were identified by the model were confirmed to develop the disease in the following year.
Another example is that of Unfold AI, an AI-powered prostate cancer management platform from the company Avenda Health. It can more precisely predict extraprostatic disease extensions compared to conventional methodologies. It can help doctors define the extent of cancer more accurately for treatment planning and can potentially improve patient outcomes and quality of life.
These are just a couple of examples of how AI is being used to predict health issues leveraging data-driven techniques and machine learning algorithms to analyze medical data and identify patterns that can lead to early detection, diagnosis, and prevention of health problems.
The Parallel Universe of Drive Health
In the parallel universe of drives, AI is being used to analyze drive health data to predict drive health issues and proactively prevent drive failures and data loss. ULINK DA Drive Analyzer uses AI and ML powered features to collect and monitor the health parameters of drives and intelligently predict when your drive is near failure. It alerts you about deteriorating drive health or impending drive failure so that you can take appropriate drive-life or data saving actions.
QNAP and ULINK Release DA Drive Analyzer, AI-powered Drive Failure Prediction Tool for NAS