AI

By 2026, the majority of front desk workers in health care practices will be replaced by AI-driven agents that are faster, more efficient, and capable of delivering a superior patient experience.

In places like the OR, AI can maximize efficiency

401 primary care physicians share their grievances with the state of health care in the 2025 Physician Health Survey from MDVIP and Ipsos.

What to watch as software shapes the future of medicine, starting now.

A Mass General Brigham study suggests that LLMs could be used to aid clinicians during physical exams.

These pitfalls, common in medical practices, stand in the way of AI-enhanced patient care.

How technology and policy will redefine care.

A market analysis report from Grand View Research projects the AI diagnostics market size to grow at a CAGR of 24.60% through 2030.

More than half of U.S. adults say AI will improve health outcomes and reduce costs, and three-quarters believe AI should play a role in health care education, survey says.

President-elect Donald Trump takes office on Jan. 20. MGMA says this is what he and Congress should focus on for health care.

A machine learning tool designed to analyze vocal patterns for signs of depression successfully identified depression in 71% of patients who had it.

Rep. Greg Murphy, MD (R-North Carolina), discusses reforms he hopes Congress will consider this year.

A new report in Annals of Family Medicine urges AI developers to target time-saving AI solutions—and warns against overpromising.

The Center for Computational Medicine will focus on developing advanced medical applications and modeling to simulate disease progression, predict outcomes and personalize care.

Company aims to make claims appeals easier and quicker for physicians by having AI do much of the work

Technology is great, but humans are the key to healthy patients

Medical Economics March 2024 highlighted the growing role of artificial intelligence technology in health care.

Stanford researchers develop AI tool to analyze doctors’ notes to save time and improve care

The transition to value-based care presents serious challenges to physicians. Here are three concrete ways that health plans, ACOs and others can help them thrive.

AI is a major threat to medical practices — but it can also be a major help.

By harnessing the power of cutting-edge technologies, artificial intelligence-driven systems are helping make value-based care models more accessible.

AI-powered technology offers a way to overcome the obstacles to value-based care, by turning vast amounts of data into actionable insights and enabling better patient care.

Study found that AI is seeing patterns in data and jumping to conclusions

A new Medscape and HIMSS report found that AI in health care settings is primarily used for administrative tasks, with clinical applications still in the early stages of adoption.

For physicians, integrating GenAI without fully grasping its limitations could pose serious risks to patient care and professional integrity.

The cost-effectiveness of using AI-ECG is $27,858 per quality-adjusted life year, and it’s particularly cost-effective in outpatient settings.

Addressing the rising demand for heart health solutions with affordable and efficient cardiac imaging.

Study found that AI struggles with understanding complex medical codes, even when specifically trained for medicine

Guidance takes a pragmatic approach to managing AI systems in clinical practice

A study has identified a strategy for using AI models in health care, maintaining efficiency and reducing costs by 17 times.