Viewpoint: Healthcare Needs AI 'Bubble to Burst'
Becker's coverage of the Health Affairs Forefront commentary on why healthcare AI investment is outpacing clinical results — and what health systems should do about it.
Research featured in Health Affairs, Nature Medicine, npj Digital Medicine, and leading health publications.
Becker's coverage of the Health Affairs Forefront commentary on why healthcare AI investment is outpacing clinical results — and what health systems should do about it.
At Binghamton's Kresge Lecture, speakers pressed to put nurses at the center of AI for safer, workable care. A frank look at ethics, accountability, and focused pilots.
Nature Medicine asks six leading AI researchers to explain how LLM-powered chatbots are having an impact on health, from virtual nurses to detecting cancer progression.
The rapid adoption of artificial intelligence (AI) scribes in health care is outpacing validation and oversight, potentially compromising patient safety, Columbia Nursing researchers warn.
Columbia Nursing's Topaz explains why nurses need to understand AI, and how AI tools can help—and hurt—patient care.
Large language models, AI scribes, clinical decision support, and the future of AI-assisted care.
Bias in healthcare AI, patient privacy, algorithmic fairness, and responsible AI development.
How AI is transforming nursing practice, documentation burden, and nurse-patient relationships.
Predictive models for patient risk, remote monitoring, and improving care for aging populations.