AI Articles and Analysis in Healthcare

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.

Diabetes is a leading chronic disease that affects more than 30 million people in the United States. The disease results from high blood glucose (blood sugar) due to an inability to properly derive energy from food, primarily in the form of glucose. Insulin is a hormone that normally helps process glucose in the body. However, in the case of diabetes, insulin is inadequate (Type 2 diabetes) or obsolete (Type 1 diabetes).

Episode Summary: This week’s episode covers the medical applications of machine vision for the diagnosis and treatment of cancer. Medical science has integrated AI since the late 90s, and it’s been useful in the fight against cancer. This week’s guest is Dr. Alexandre Le Bouthillier, founder of Imagia. Imagia is a medical imaging company which specializes in using AI and machine learning to detect cancer in its early stages so that oncologists can make quicker, more accurate diagnoses for patients.