PACS/IT/AI

Buying an imaging artificial intelligence is a commitment. The partnership between you and your vendor is much like a marriage, with both parties entering the relationship with certain assumptions and expectations. Over time, however, shared values and direction may diverge, making you wonder if it’s right to stay together.

I believe the imaging AI market is working as all efficient capitalistic markets do. The growth in the market will occur when the radiologist and hospital system see the value of the products. I am here to help you find the correct solution for your team. I wish you luck in your wide, multiple valuable finding imaging AI solution search. Radiologists deserve the best solution available to assist them.

When I was working as a CAT scan tech, I would come home for dinner with my wife and she would ask me, “How was your day?” 

Asking the right question at the right time can make all the difference.

Henry Ford said, “If I had asked people what they wanted, they would have said faster horses.” This sums up the current understanding of artificial intelligence in imaging, a customer can easily describe a problem they’re having — in this case, wanting to get somewhere faster — but not the best solution.

Human-centered artificial intelligence deployment takes into consideration the system design to bring ambient intelligence to a project.

Stanford University has opened a Center for Human-Centered Artificial Intelligence. I think this is a testament that one of the most important interface issues that must be...

Is a communication platform the best solution for your health care organization?

Researchers are training an artificial intelligence (AI) system that can potentially diagnose dementia after a single brain scan.

Adhering to the radiologist follow-up recommendations is a long-standing problem that impacts outcomes, liabilities and revenue. Unfortunately, less than 40% of the referring providers adhere to the radiologist recommendations around incidental findings.