Firstly, artificial intelligence (AI) and related technologies are common in business and society. Following that trend, AI is now being applied to healthcare. These technologies have the potential to change many aspects of patient care, as well as admin processes. This includes processes within doctor, patient and pharmaceutical organizations.

Does Artificial Intelligence Belong In Healthcare?

One of the world’s highest-growth industries, the AI sector was valued at about $600 million in 2014 and is projected to reach a $150 billion by 2026. Whether it is to find new links between genetic codes or to conducts surgery-assisting robots, artificial intelligence is reinventing and reinvigorating modern health care. These machines predict, comprehend, learn, and act.

How Does AI Help?

In 2015, misdiagnosing illness and medical error accounted for ten percent of all US deaths. The promise of improving and helping the diagnostic process is one of AI’s most exciting health care  applications. Here are six examples of AI reducing error and saving lives.


Cambridge, Massachusetts. PathAI is developing machine learning technology to assist pathologists in making more accurate diagnoses. The company’s current goals include reducing error in cancer diagnosis and developing methods for individualized medical treatment.

Buoy Health

Boston, Massachusetts. Buoy Health is an AI-based symptom and cure checker that uses algorithms to diagnose and treat illness. Here’s how it works: a chat bot listens to a patient’s symptoms and health concerns, the guides that patient to the correct care based on its diagnosis.


San Francisco, California. Enlitic develops learning medical tools to streamline radiology diagnosis. The company’s deep learning platform then analyzes unstructured medical data (radiology images, blood tests, EKGs, genomics, patient medical history) to give doctors better insight into a patient’s real-time needs


San Francisco, California. Freenome uses AI in screenings, diagnostic tests, and blood work to test for cancer. By developing AI at general screenings, Freenome aims to detect cancer in its earliest stages and subsequently develop new treatments.

Beth Israel Deaconess Medical Center

Boston, Massachusetts. Harvard University’s teaching hospital, Beth Israel Deaconess Medical Center, is using artificial intelligence to diagnose potentially deadly blood diseases at a very early stage.

Zebra Medical Vision

Shefayim, Israel. Zebra Medical Vision provides radiologists with AI-enabled assistant that receives imaging scans and, most importantly, automatically analyzes them for various clinical findings it has studied. The findings are passed onto radiologists, who take the assistant’s reports into consideration when making a diagnosis.


The drug development industry is so busy with skyrocketing development costs and research that takes thousands of human hours. It costs just about three billion dollars to put each drug through the clinical trials, then only 10 percent of those drugs successfully get to the market. Due to breakthrough technology, biopharmaceutical companies are quickly taking notice of the efficiency and accuracy and the knowledge that AI can provide.


One of the biggest AI breakthroughs in drug development came in 2007 when researchers tasked a robot named Adam with researching functions of yeast. Firstly, Adam scoured billions of data points in public databases to hypothesize about the functions of 19 genes within yeast. Then, Adam predicted nine new and accurate hypotheses. Adam’s robot friend, Eve, then discovered that triclosan, a common ingredient in toothpaste, can combat malaria-based parasites.