Medical imaging is crucial for early disease detection and treatment, but radiologists face increasing demand and workload. As a “second set of eyes” Annalise Enterprise helps doctors triage and diagnose confidently, reducing the risk of missing life-threatening conditions. Through iterative design research — 100’s hours observing, interviewing & testing with 100s of international radiologists — we understood the intense time pressure, unique environment, and fatigue of radiology, so UX design was hyper-focused on ergonomics and cognitive aspects load, usability and speed.

Radiologists often interact with highly dense, sometimes user-hostile UIs and use dual-handed input via voice and mouse but minimal keyboard use and are hyper-sensitive to distraction and impediments.

The UI design is carefully designed to these sensitivities. The UX eliminates constant manual adjustment while the UI seeks to focus all user attention on detecting critical findings and especially focussed on ergonomics by minimising “eye miles” and clustering supporting information in deliberate spacial relationship to the medical images being interrogated.

A tool constantly used under such pressure must be lightweight, low-friction, effective and pleasing to sustain use and positively impact this critical work.

The Good Design Australia Awards Jury commented: “Annalise.ai presents an exemplary project that recognises the importance of a clinician-led future for AI in healthcare. It successfully applies AI to improve context-sensitive design and achieve exceptional UI. We commend the use of such technology leveraged in diagnostic and prioritisation processes, and appreciate the deeply iterative design process that empowered it.”