FigureAsia 35 Under 35 · Healthcare
Aengus Tran
Age 32 · Clinical artificial intelligence and radiology · Sydney, Australia
A physician-founder whose radiology systems moved through large-scale deployment, international expansion and a 2026 US clearance for acute-infarct triage.
- Approximate age at 31 December 2025
- 32
- Field
- Healthcare
- Country or region
- Sydney, Australia
- FigureAsia U35 Assessment
- 93.9 / 100
Profile
Career and documented record
Aengus Tran has spent the past decade working on a stubborn clinical problem: how to make specialist interpretation available when demand grows faster than the workforce. In 2025, the company he cofounded raised US$112 million to extend its radiology systems across new markets and modalities. The more consequential milestone arrived in March 2026, when Annalise Enterprise received a US 510(k) clearance for triage and worklist prioritization of suspected acute infarct on non-contrast brain CT in adults. The regulator's summary records a training set of more than 200,000 CT brain studies and makes the boundary equally clear: the software supports prioritization, does not replace advanced imaging and is not a rule-out device.
Tran's distinction lies in joining medical training, product accountability and international execution. He has built at the difficult seam between model performance and clinical workflow, where interoperability, quality systems and responsible labeling matter as much as an algorithm. The work is not evidence that artificial intelligence can diagnose independently. It is evidence that a young Asian-diaspora founder has moved a clinically consequential system through one of the world's most scrutinized device pathways while building an organization capable of operating across health systems.
FigureAsia selection
Why Aengus Tran is on the list
FigureAsia places Tran at the head of the 2026 edition because his record combines reach, regulatory maturity and personal accountability. The acute-infarct clearance is a completed, inspectable milestone rather than an announced intention, and the underlying documentation defines both the capability and its limits. His influence extends beyond a single model: he has helped make Australia a credible export base for clinical AI and has shown that scale must be accompanied by quality systems, careful indications and human oversight.
Verified work
The 2025–26 record
Principal milestone
US 510(k) clearance dated 3 March 2026
Evidence record
Training data included more than 200,000 CT brain studies
Scale or implementation
US$112 million financing announced in 2025
Field context
The work in its field
Within clinical artificial intelligence and radiology, the relevant test is whether a result can survive scrutiny of maturity, attribution, validity and practical fit. That distinction matters: completed evidence is not projected benefit, and individual responsibility is not interchangeable with the wider team’s achievement.
FigureAsia U35 Assessment
Assessment breakdown
93.9out of 100
Substantive 2025–2026 contribution
20 / 20
The score reflects completed 2025–26 work in clinical artificial intelligence and radiology, assessed at the documented maturity of regulated clinical workflow software.
Verified impact
15 / 15
Impact credit is limited to the measured study, regulatory, implementation or operating record stated in the profile; unsupported patient benefit is excluded.
Originality and distinction
8 / 10
The work creates or materially advances a distinctive capability within clinical artificial intelligence and radiology rather than relying on title or institutional association.
Field and industry influence
10 / 10
The assessment recognises demonstrated effects on research, product development, care delivery or professional practice, with publicity alone carrying no weight.
Individual agency
10 / 10
Named authorship and the documented role of Cofounder and Chief Executive Officer establish individual responsibility while preserving credit for collaborators.
Durability and trajectory
5 / 5
The cited work forms part of a continuing programme, platform or research trajectory rather than a single uncompleted announcement.
Asian significance and global relevance
4.5 / 5
The Asian connection is material to the person's identity, operating base or populations served: Vietnamese-Australian; his family background and medical training in Australia are publicly documented.
Clinical and scientific validity
6.3 / 7
Clinical and scientific validity is calibrated to regulated clinical workflow software, with the profile retaining the evidence boundary attached to the result.
Safety, quality and responsible governance
5.6 / 7
Safety and governance credit reflects accurate regulatory language, study limitations, data stewardship and the refusal to turn early evidence into clinical certainty.
Translation and care-pathway fit
6 / 6
The work is scored for its demonstrated fit with a laboratory, regulatory, clinical, operational or public-health pathway, not for projected future adoption.
Access, equity and resource stewardship
3.5 / 5
Access credit reflects documented reach, capacity, affordability or inclusion while distinguishing service volume from proven clinical outcome.