QOVES vs Aidoc
A detailed comparison to help you choose between QOVES and Aidoc.
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Verdict: Aidoc wins
Aidoc scores 4.2/5, edging out QOVES at 3.5/5. Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions.
QOVES AI powered facial aesthetics analysis and enhancement | Aidoc AI powered radiology image analysis platform | |
|---|---|---|
| Rating | 3.5 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | paid |
| Starting Price | Free tier available | From $10000/mo |
| Best For | People researching cosmetic or grooming changes who want a structured, research-cited facial analysis to bring into a professional consultation, and who can wait a month and pay a premium for human review. | Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tier | api accessteam featuresgdpr compliant |
| Visit QOVES → | Visit Aidoc → |
QOVES
Pros
- + Human-written analysis: every report is reviewed by practitioners across multiple disciplines, so the recommendations carry context that fully automated face-scoring apps simply do not produce.
- + Report depth is real — findings broken into roughly 18 facial sections with measurements and citations to published research, not a single composite score (qoves.com/insights, 2026).
- + Follow-up access is included: care-team messaging with a stated 24-hour response commitment and a revision policy if the report misses expectations.
- + Year-over-year biometric tracking lets you resubmit photos annually and compare scores, which gives the annual subscription a repeat use beyond a one-off read.
- + Candid about its own limits — the FAQ points free-question seekers to ChatGPT and the site is explicit that before/after visuals are projections, not results.
Cons
- - Turnaround is up to 28 days from photo upload unless you pay the $80 express add-on for 24–48 hours (qoves.com FAQ, 2026) — there is no fast path for free.
- - Year one can reach $435 once the $80 express, $180 surgical recommendations and $25 hairstyle add-ons are stacked on the $150/year membership (checkout prices read September–October 2026).
- - No free tier and no trial: the once-free Facial Assessment Tool now 404s, so you commit $150 before seeing any output (softmaxx.io, 2026).
- - Refunds effectively close after photo upload — the terms allow a full refund only before submission, and conflicting '30-day money-back' variants on ad landing pages make the policy unclear without asking in writing.
- - Spec descriptions are internally inconsistent across the site (six vs nine photos; 160+ vs 200+ tests vs 521 landmarks), making exact capability claims hard to verify from outside.
Aidoc
Pros
- + Widest FDA-cleared acute triage portfolio I have reviewed: 31 authorisations on the FDA's December 2025 list, plus the first multi-indication clearance covering 14 abdominal CT findings in one workflow
- + Multi-triage consolidation meaningfully reduces alert noise — one flagged study produces one stacked panel, not one pop-up per algorithm
- + Real-world deployment evidence: Mercy Health documented urgent case turnaround falling from 19.8h to 1.3h across 50+ hospitals, with 5,642 patients expedited from 50,749 flagged findings
- + Vendor-neutral aiOS layer lets a health system run third-party and Aidoc algorithms through one governance and notification stack (17 FDA-cleared algorithms deployed at Hartford HealthCare)
- + Care Coordination and Patient Management close the loop beyond triage: mobile alerts with image context, and report mining that routes incidental findings to facility-defined follow-up protocols
Cons
- - No public pricing, no trial, no free tier — third-party estimates of ~$50k/site/year baseline with $8k-$15k per extra module are unverifiable until you are deep in a sales process
- - Hospital-only: requires PACS/RIS/EHR integration work, so it is irrelevant to individual clinicians, small practices and low-volume facilities
- - 510(k) clearance for most modules does not itself require independent clinical performance data (per JAMA Network Open) — buyers should demand the study set, not just the clearance count
- - No public changelog for algorithm updates, which is a real gap for a system whose output feeds clinical decisions
- - Vendor performance figures (order-of-magnitude false-alert reduction, 1,600+ hospitals) are company claims I could not independently audit
Frequently Asked Questions
Which is better, QOVES or Aidoc?▼
Aidoc scores higher at 4.2/5 vs 3.5/5 for QOVES, making it the better-rated option in our comparison.
What is the difference between QOVES and Aidoc?▼
QOVES: AI-powered platform that analyzes facial features and provides personalized aesthetic enhancement recommendations based on scientific beauty standards. Aidoc: Aidoc analyses medical imaging to flag urgent findings for radiologists and care teams, prioritising the cases that need attention first.
Is QOVES or Aidoc more affordable?▼
QOVES starts at €0/mo, Aidoc starts at €10000/mo. Check the comparison table above for current pricing.
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