AI Articles and Reports in Healthcare

Explore articles and reports related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.

Machine Learning for Healthcare Operations Software -

Machine Learning for Healthcare Operations Software – Risk Management, Clinical Care, and More

The healthcare analytics market continues to gain traction as the healthcare industry transitions to a value-based care model. Value-based care focuses on quality of care delivery as opposed to volume of patients served. There are great opportunities for data analytics due to the high volume of information that must be routinely collected, tracked and interpreted, particularly in the hospital setting. Examples of value-based care programs in the hospital setting include the Hospital Value-Based Purchasing (HVBP) Program and the Hospital Readmission Reduction (HRR) Program.

Understanding the Third Wave of AI in Healthcare and Life Sciences

Understanding the Third Wave of AI in Healthcare and Life Sciences

Gunjan Bhardwaj is the Founder and CEO of Innoplexus, a leader in AI, machine learning, and analytics as a service for healthcare, pharma, and the life sciences. He was earlier with the Boston Consulting Group and before that the leader of the global business performance think-tank of Ernst & Young and a manager in the German practice with a solution focus on strategy and innovation.

Modeling Biology with Machine Learning - with Turbine.ai's CEO Kristóf Zsolt Szalay

Modeling Biology with Artificial Intelligence – with Turbine.ai’s CTO Kristóf Zsolt Szalay

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.

Surgical Robotics and AI - What's Possible Today?

Machine Learning in Surgical Robotics – 4 Applications That Matter

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:

Qrativ's Murali Aravamudan on "What's Possible" for AI in Drug Discovery

Qrativ’s Murali Aravamudan on “What’s Possible” for AI in Drug Discovery

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.

Machine Learning Drug Discovery Applications - ....

Machine Learning Drug Discovery Applications – Pfizer, Roche, GSK, and More

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.

Healthcare

Explore articles and reports related to artificial intelligence in healthcare, including coverage of diagnostics, pharma, drug development, medical billing, and more.