AbangeLabsAI can already speed up evidence screening and extraction, but the latest validation signal says HTA teams should keep human oversight on judgment-heavy risk-of-bias work. https://www.mattheneus.com/editorial/ai-evidence-synthesis-validation-coverage-gap-playbook-2026-04-01 #HTA #EvidenceSynthesis #Pharma
Where AI evidence-synthesis validation is strongest, and where HTA teams still need tighter controls
A March 2026 scoping review and validation study show a tighter rule for HTA teams: screening and extraction automation have broader support, but judgement-heavy tasks such as risk-of-bias assessment still require human oversight, validation, and audit-ready lineage.