The rapid growth and widespread adoption of large language models (LLMs) across real-world applications offer a host of new opportunities for the healthcare sector. Hospitals and clinics are starting to rely on artificial intelligence (AI) assistants for daily administrative tasks, and the technology is expanding to support doctors in making more accurate diagnoses, which remains a cornerstone of effective medical care.
Charting a Path to the Right Diagnosis with AI Copilots
Related Articles
Tech Companies Aim to Expand Use of Data Analytics in Healthcare
Health IT Analytics: For years, data analytics in healthcare has been a frequent buzzword among industry leaders. The ability to leverage AI, machine learning, and other technologies to gain actionable…April 14, 2021
Anumana earns first full FDA clearance for AI to detect low ejection fraction
Fierce Biotech: Two years after its launch as a joint venture between the Mayo Clinic and Nference to develop artificial intelligence algorithms capable of pulling out new insights from routine…October 05, 2023
Mayo Clinic launches remote diagnostics platform, forms 2 new companies to support it
Healthcare IT News: Anumana will develop and market algorithms for early detection of disease. Lucem Health can collect device data and feed it into clinical workflows. Both spin-offs aim to…April 13, 2021
AI That Fits the Clinical Workflow: Interview with Anumana CEO Maulik Nanavaty
After three decades climbing the ranks at medical device giants like Boston Scientific and Baxter, a seasoned executive faced a choice that would have given most leaders pause: take the…July 22, 2025


