AI

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.

Managing payment is a key factor working against medical practices. Here’s how artificial intelligence could relieve administrative burdens.

A study suggests that if health care professionals are better trained with AI than its potential to make care more effective could be in the near future.

A majority of surveyed physicians have already seen benefits of AI and believe in its continued improvement.

The Healthcare AI Challenge offers a virtual environment in which professionals can experience the latest AI health care solutions.

Patients still want a human-centered connection with their health care providers

BiomedGPT analyzes medical text and images, capable of faster diagnoses, enhanced reporting and improved drug discovery.

Artificial intelligence and personalized incentive structures are coming together to take pressure for treatment plan adherence off doctors’ shoulders.

A recent study compared the diagnostic performance of physicians referencing AI to those limited to conventional resources.

A meta-analysis of UK-based research found that women get better pregnancy care when AI and clinical software tools are used in maternity settings

A tool for searching medical records and one that standardizes patient medical information aim to reduce administrative burnout

As generative AI technologies advance, establishing standardized evaluation metrics is necessary to ensure safety and efficacy in health care.

Study finds that older adults don't think all that highly of AI, but also aren't always sure who they should trust.

Study shows patients are more receptive to AI recommendations when they better understand the biases in human decision-making.