Viz.ai, scoring 9.90 out of 10, collaborates directly with neurologists and emergency physicians to deliver rapid stroke diagnosis and intervention, emphasizing its immediate clinical impact and transparency.

Notable, also with a score of 9.90 out of 10, emphasizes workflow automation and ambient documentation AI, which significantly reduces administrative workload through clinician feedback.

Suki AI, scoring 9.91 out of 10, offers a voice-enabled clinical assistant developed through ongoing clinician collaboration, praised for its usability, time-saving features, and responsiveness.

Black Book Research, an independent healthcare organization, emphasizes its extensive, unbiased data collection from global healthcare providers, reinforcing the credibility of these findings.

Signal 1, with a score of 9.95 out of 10, excels in predictive analytics and clinical decision support by deeply involving hospital clinical teams, leading to seamless integration and better patient outcomes.

A recent survey by Black Book Research involving 448 clinicians highlights that the top AI vendors in healthcare are distinguished by their deep clinician involvement in design, which has set a new standard for AI effectiveness in the industry.

The survey underscores the importance of clinician input, measured through eight qualitative KPIs such as workflow fit, user satisfaction, clinical impact, and transparency, demonstrating that clinician involvement directly correlates with AI success.

Industry experts emphasize that embedding clinicians in AI development fosters immediate usability, clinical impact, and higher clinician satisfaction, which are critical for successful AI integration in healthcare.

Epic Systems leads the industry with a near-perfect score of 9.97 out of 10, thanks to its 'Physician Builder' program that involves clinicians at every stage of product development, resulting in reduced documentation burdens and improved workflow.

Aidoc, scoring 9.93 out of 10, focuses on radiology AI and maintains continuous development with radiologists to ensure diagnostic accuracy and workflow efficiency, earning high clinician endorsements.