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E-E-A-T Compliant — Author Credentials & Accountability
AI Ethics in Healthcare // DEEP SCAN

E-E-A-T Compliant — Author Credentials & Accountability

April 22, 2026 // 1 min read
AI-assisted editorial. Every claim in this article is human-reviewed by a licensed physiotherapist with a dual master's in IT and applied AI. Sources are linked inline.

Google E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is a quality framework for content that affects health, finance, and safety decisions. AIHealthTech.io operates under this framework explicitly.

Experience. AIHealthTech.io is founded and edited by Djordje Mladenovic — a Physiotherapy Technician and graduate of DIF (Faculty of Sport and Physical Education), with direct clinical-adjacent experience in rehabilitation and patient-facing healthcare settings.

Expertise. Dual Master degrees in IT Management and in Artificial Intelligence & Cloud Computing provide the technical depth to evaluate claims about AI/ML systems critically — not as a consumer tech reviewer but as someone who can read model architecture papers, understand training-set composition, and recognize when a validation study was gamed.

Authoritativeness. Every article is signed. Every citation is external, verifiable, and linked. The site publishes an About page with full author bio, a contact method that reaches a real person, and a corrections policy.

Trustworthiness. We do not accept paid placements, affiliate links on clinical-efficacy content, or sponsored posts disguised as editorial. When we link an affiliate product (limited to clearly marked reviews of consumer wearables), the disclosure is unambiguous.

This matters because AIHealthTech.io content is read by people making decisions — clinical, procurement, investment — where a fabricated claim can cause harm. E-E-A-T is not a checkbox. It is how we operate.

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