Active Research

Research is foundational to advancing the quality, and safety of medical AI technologies. Rigorous scientific evaluation provides our design and engineering team to create products that are backed by real-world data. This is done to ensure not only quality, and clinical utlily but to foster trust amongst clinician users.

Continuous research helps us adapt rapidly to emerging medical insights, clinical standards, and technological innovations. Moreover, research fosters transparency and accountability, essential for meeting ethical standards and regulatory compliance. Both clinically focused, and technical research projects enable the development of clinically validated solutions with the aim of genuinely enhancing patient care.

Active Research Initiatives:

• [Validating the Safety of the Consensus Mechanism: Understanding Reductions in Bias and Hallucinations Through LLM Ensembles]

  • Research Runtime: June 2025 → September 2025

• [Real-World Outcomes of AI Integration in Clinical Practice: Effects on Cognitive Load, Burnout, and EHR Time]

  • Study Runtime: June 2025 → October 2025

• [Superhuman Diagnosis : How AI and Physicians Together Outperform Either Alone]

  • Study Runtime: July 2025 → TBD