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2025 Year in Review

By Jessica Hagen | 11:28 am | January 07, 2026
Leaders say AI will reshape jobs without replacing the human core of care.
By Jessica Hagen | 12:55 pm | January 02, 2026
Industry voices discuss where AI will make the biggest impact in the healthcare workforce and which positions may be affected by automation.
By Jessica Hagen | 12:04 pm | December 30, 2025
Alongside warnings around AI, healthcare executives say the technology has long-term potential to improve clinical workflows and patient outcomes, making 2025 a year of both excitement and cautious scrutiny.
By Jessica Hagen | 11:27 am | December 26, 2025
Executives weigh in on current valuations and hype around AI in the healthcare sector and what it could mean for the future.
By Jessica Hagen | 12:55 pm | December 22, 2025
Next year, AI will move beyond administrative support to become a workflow-integrated tool that drives predictive and proactive care and sees true adoption, according to healthcare leaders.
By Jessica Hagen | 12:39 pm | December 19, 2025
Next year will mark a turning point for AI in healthcare as the industry shifts from pilots and hype to accountable, integrated systems that prove to have measurable impact, according to execs.
By Jessica Hagen | 01:44 pm | December 16, 2025
Executives pointed to faster-than-expected AI adoption in healthcare, shifting regulatory signals and growing demand for AI tools that deliver measurable outcomes.
By Jessica Hagen | 11:57 am | December 12, 2025
This year was marked by shocking events alongside soaring company valuations, policy transformation, rapid AI adoption and landmark investments in women’s health.
By Jessica Hagen | 04:38 pm | December 08, 2025
According to healthcare leaders, 2025 was a pivotal year for AI and digital health, marked by technological progress, a shifting focus on its role in healthcare and practical use cases driving its adoption.
By Jessica Hagen | 01:56 pm | December 04, 2025
Industry leaders say 2025 marked AI’s shift from hype to practical impact, though the technology remains unready for full-scale adoption and ongoing concerns about ethics and bias persist.