AI Articles and Analysis in Healthcare

Chronic Kidney Disease (CKD) affects approximately 1 in 7 adults or an estimated 30 million Americans. CKD is characterized by kidney damage which impedes proper filtration of the blood. As a result, other health problems may occur due to excess fluid and waste in the body. According to the American Society of Nephrology, annual health care costs associated with treating kidney (renal) failure are estimated at over 32 billion.

The number of persons aged 60 or above is expected to grow from 962 million globally in 2017 to 2.1 billion in 2050 and 3.1 billion in 2100, according to a United Nations report. In the United states alone, the healthcare industry employs over 4.5 million nursing aides and orderlies and home health aides and personal care aides.

Dementia (a severe decline in mental ability) is ranked as the sixth leading cause of death in the United States and impacts an estimated 5 million Americans. According to the Alzheimer’s Association, health care costs associated with dementia totaled $259 billion in 2017 and are projected to reach $1.1 trillion by 2050.

A 2017 Tractica report on the natural language processing (NLP) market estimates the total NLP software, hardware, and services market opportunity to be around $22.3 billion by 2025. The report also forecasts that NLP software solutions leveraging AI will see a market growth from $136 million in 2016 to $5.4 billion by 2025.

Episode summary: In this episode of AI in industry, Innoplexus CEO Gunjan Bhardwaj explores how pharma giants are working to overcome two critical challenges with AI: Data, and talent.

Depression is a leading mental disorder impacting about 16 million Americans. According to the World Health Organization, the annual global economic impact of depression is estimated at $1 trillion and is projected to be the leading cause of disability by 2020.

Heart disease is the leading cause of death in the United States and currently affects an estimated 28.4 million Americans. According to a report published by the American Heart Association, in 2016, the economic burden of cardiovascular diseases (category of heart and blood vessel diseases) totalled $555 billion and is projected to reach $1 trillion by 2035.  

The recent renaissance of machine learning promises to transform the data-rich world of healthcare, and there are hardly any healthcare segments more excited than the pharmaceutical industry.