Abi Jones is an established UX manager, experienced in leading multidisciplinary teams in mission-critical environments, setting a vision for the future, and scaling high-impact design & research organizations.
Featured projects
DermAssist matches over 300 conditions
Each year, Google Seach fields over 10 billion Dermatology queries, but it's hard to get answers when describing a mole or rash with words alone. DermAssist on Google Lens is trained to match skin images with those of nearly 300 skin, hair, and nail conditions. Now available in over 160 countries, DermAssist makes searching for health information easy and reliable.
ARDA is Accessible AI for Eyes
Automated Retinal Disease Assessment (ARDA) delivers eye disease diagnoses in 10 minutes, a process that previously took 10 weeks. ARDA is the first deep-learning system assessed in a real-world clinical environment. With over a million patients screened, at a speed 10,000x faster than traditional programs, ARDA improves time to treatment for Diabetic Retinopathy, the world's leading cause of preventable blindness.
How AI is making eyesight-saving care more accessible in resource-constrained settings ↗︎
Maternal Health AI: Ultrasound for All
Every year, 300,000 women die during pregnancy or childbirth, most in low-resource countries, and most from preventable causes. Maternal ultrasound is an essential component of maternal health, but capturing and interpreting ultrasound is a complex medical imaging technique that requires years of training and experience.
At Google Health AI, we addressed this gap in maternal care in partnership with Northwestern University Medical Center and Jacaranda Health. Maternal Health Ultrasound integrates assistive design and AI capability into a portable interface, making it possible for midwives to detect fetal age and positioning with light training, in any environment.
Agentive AI for better answers
Online Health Information Seekers prefer a context-seeking AI to the instant-answers experience in a standard AI chat, generating investment in proactive approaches to agentive AI. Conversations with a proactive AI agent help users obtain more helpful, relevant, and tailored information
Towards better health conversations: Research insights on a “wayfinding” AI agent based on Gemini ↗︎