Pathology labs need accurate specimen tracking, integrated digital workflows and reliable infrastructure before they can ...

As artificial intelligence continues to reshape financial markets, it brings with it a core legal and strategic dilemma: who owns the algorithm? A recent Bank of England report raised alarm bells over ...

Two studies led by Johns Hopkins Kimmel Cancer Center, Ludwig Center, and Johns Hopkins Whiting School of Engineering researchers report on a powerful new method that significantly improves the ...

A novel approach for pitting algorithms against each other, called generative adversarial networks, or GANs, is showing promise for improving AI accuracy and for automatically generating objects that ...

Good AI governance allocates responsibility, delineates accountability, and calibrates the appropriate weight given to AI assisted analysis based on risk, materiality, and context. In doing so, ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

An artificial intelligence (AI) tool detected structural heart problems using a single-lead ECG captured by the electrical heart sensor on the back and digital crown of a smartwatch. The AI algorithm ...

Clinicians share a common goal of doing what is best for our patients, and this obligation extends to critically evaluating the tools we adopt into our practice. Clinical algorithms, which we define ...