Unique Research · Insight / Unique Partner welcome · November 2, 2023 · KEEP partner welcome; inventory type insight · Unique Capital as FA on new raise
AI + healthcare is a broad growth market. Global Market Insights: global medical AI ~$5B in 2022 → $70B by 2032, CAGR >29%. IQVIA: China medical AI only ~RMB 4B in 2021, but next decade CAGR >30%. The trend will mint new AI+healthcare leaders.
Tsinghua team building health-management AI agents
Yizhe AI (医者AI) is rising in the field. Founded 2023 by Tsinghua CS PhDs, MDs, and successful AI-health founders. CEO Liu Chenghui is a serial AI+health entrepreneur; CTO Xu Zhenan is a Tsinghua CS PhD deep in medical NLP, founder of Tsinghua Student Algorithm Association, co-author of China Electronics Society technical group standards, international awards, deployments in top tertiary hospitals. Yizhe AI is raising a new round with Unique Capital as financial advisor.
Focus: sub-health management. Latest MoE-architecture LLMs plus hardware/software deliver 7×24 health management — every family its own health-steward AI and Healthy Care Agents.
Market solutions today split into human services vs. traditional tech products — both flawed. Human service: high-level clinicians concentrate in hospital systems, ignoring long-tail health management. Traditional expert systems / knowledge graphs are keyword-triggered Q&A bots — weak on complex daily health scenes and unable to build trust.
Self-built Lego-style modular MoE LLM
Foundation models can cut cost and offer humanlike high-level interaction — but plain fine-tuned or industry models still hit hallucination, weak long-term memory, and thin few-shot training. Yizhe’s answer: self-built MoE.
MoE fuses multiple expert nets; a gating model routes tasks to expert “squads,” spawning new AI agents. New needs do not require full retrain — low marginal cost, tiny samples → new agent models.
Yizhe’s MoE: ~70B total params, 10+ experts (diabetes, “three highs,” pulmonary nodules, etc.). Examples: general health AI routes “inquiry” + functional experts; nodule AI routes compound judgment + treatment + nodule experts; diabetes nutritionist AI routes diabetes + dietetics experts.
Four differences vs. fine-tuned LLMs: (1) consistency/accuracy >97%, cutting hallucination; (2) strong long-term memory — up to 3 years of dialogue history; (3) few-shot — multilayer architecture; ~1,000 few-shot rounds can clone a specialist model; (4) proactive guidance via 1+9 MoE — complex-step replay, dialogues lasting >20 minutes.
Scenes
Checkups: partnered with leading private checkup groups — pre-checkup “AI online family doctor” plans; post-checkup report interpreter AI + specialist AI; personal health digital twin for 7×24 monitoring. ~12M user volume in this scene.
Family doctor: with leading insurers — WeChat-group online doctor model; dedicated AI family doctor plus coach/nutritionist agent team. Radiating 500k+ families.
Also multi-end (phone, PC, smart speaker, watch) for a product company’s post-diabetes management scene — 7×24 care anywhere.
Building user mindshare and general model apps toward efficient health management for tens of millions of Chinese families. Plan: DTC in Q3 2024; 1M C-end users by Q2 2025.
1 CN image; attach on ingest. KEEP partner-welcome tone; inventory type insight.
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