AI Articles and Analysis in Healthcare

Episode Summary: This episode explores the ways in which artificial intelligence has the potential to revolutionize the field of medicine. This week's guest, Turbine.ai's Dr. Kristóf Zsolt Szalay speaks to this topic, discussing research that hopes to create automated learning networks and algorithms designed to predict the development of human cells in response to drugs. This technological innovation would make it possible for near-instantaneous simulations to be run, allowing optimal combinations and optimal doses of drugs to be pinpointed and distributed to patients.

The application of robotics in surgery has steadily grown since it began in the 1980s. In contrast, the integration of artificial intelligence in this sector is still fairly new. As promising applications, predominantly in the research and development phase, begin to the surface we aim to answer the important questions that business leaders are asking today:

Episode summary: In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

Discovering a new drug is a long, expensive and often haphazard process. Thousands of compounds are subject to a progressive series of tests, and only one might turn out to be a viable drug. Any tool which can speed up just one of these steps in this long multi-step process would have big implications down the entire chain. This is why some of the largest pharmaceutical companies are turning to AI to help the process.

Episode summary: In this episode, we talk to Daniel Nigrin, MD, Senior Vice President and CIO at Boston Children’s Hospital. Daniel and I discuss why hackers have come to prey on the healthcare industry, how these hackers benefit from their illicit activities, and what healthcare IT security precautions can be taken to prevent such attacks.

Facial recognition technology has been traditionally associated with the security sector but today there is active expansion into other industries including retail, marketing and health. By 2022, the global facial recognition technology market is projected to generate an estimated $9.6 billion in revenue with a compound annual growth rate (CAGR) of 21.3 percent*.

The impact of AI on business and the role it may play in improving efficiency of operations and driving revenue is a main focus of the research conducted at Emerj. However, there are also a growing number of altruistic applications of AI that are being leveraged today.

Medical diagnostics are a category of medical tests designed to detect infections, conditions and diseases. These medical diagnostics fall under the category of in vitro medical diagnostics (IVD) which be purchased by consumers or used in laboratory settings. Biological samples are isolated from the human body such as blood or tissue to provide results. Today, AI is playing an integral role in the evolution of the field of medical diagnostics.