Healthcare AI | Aidoc Always-on AI

In many rural communities, seeing a specialist can mean driving hours for an appointment or waiting weeks for care. And as hospitals struggle to recruit clinicians, patients are often left with even fewer options.

The challenge won’t ease anytime soon. The Health Resources and Services Administration reports that thousands of communities across the country are alrea...

New Zealand’s healthcare system faces a challenge familiar to many countries with dispersed populations: hospitals don’t always have a radiologist on site, and the specialists who can interpret complex, time-critical scans are often based hours away. For a patient presenting with a possible stroke, pulmonary embolism, or intracranial hemorrhage in a rural or regional facility...

Healthcare has spent decades improving patient safety, yet diagnostic delays and errors affect hundreds of thousands of patients each year.

More than a decade ago, the National Academy of Medicine identified diagnostic error as a major patien...

The use of AI in healthcare is often framed as a trade-off: it makes things easier for clinicians, but patient experience may decline. Or, the patient experience improves, but frontline care teams take on more work, leading to stress and burnout.

Healthcare is at a crossroads. Inflation pressures and labor shortages are squeezing hospital budgets everywhere, and for academic medical centers like Vanderbilt University Medical Center, sustaining their mission requires the financial strength to keep investing in infrastructure, people, and research.

Neal Patel, MD, MPH, Chief Information Officer at Vanderbilt U...