I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Proactive documentation using AI reviews all patient data to reduce clinician burden and enhance care quality and efficiency.

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Adopting the proper countermeasures to protect and maintain trust in health care data will require additional collaboration ...

AI transforms cancer treatment by personalizing care and enhancing patient-provider communication, revolutionizing how patients manage their health.

Rosen's excitement about AI stems from the ability to move beyond population health theories to deliver truly individualized ...

Every clinician knows the drill: ask about substance use, sleep, diet, exercise, and housing. The social history is the part ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Health systems and insurance companies are using artificial intelligence to analyze CT scans and MRIs, update electronic ...

Agentic AI ending hold music streamlines patient scheduling and access, boosting clinic efficiency and reducing wait times.

A team from the Department of Electronics, Information and Bioengineering of the Politecnico di Milano, led by Dr. Andrea ...