Unresolved
We still don’t know whether anyone at this organisation has actually used this technology — zero lived-experience observations exist.
Not yet answered
What are we missing?
HealthAratus Intelligence
ScreenPoint
ScreenPointScreenPoint Intelligence
What the accumulated evidence, deployment record and lived experience actually show.
Intelligence lenses
Four ways of interrogating the same reality. Each changes the question, not the subject.
Do published findings about ScreenPoint match what happens in practice?
Still openReal-world behaviour on the accuracy quality.
Public evidence
Artificial Intelligence (AI) for Proximal Caries Detection and Its Impact on Treatment Threshold
ClinicalTrials.gov AI
Public evidence
Artificial Intelligence Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring
ClinicalTrials.gov AI
Public evidence
AI-THEROSCOPE: AI Detection of Subclinical Atherosclerosis From Retinal Images
ClinicalTrials.gov AI
Public evidence
Correction: Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study
JMIR Medical Informatics
Public evidence
Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection
ClinicalTrials.gov AI
What we know · what we don’t
Everything here is open to being corrected by someone who has seen it first-hand.
What we still don’t know
Nobody has answered these yet. Your experience can help us understand what is happening.
Matters of record
Settled elsewhere. Context for reading the above, not something practice can confirm.
- 24 public external signal(s) across 9 source(s).Recorded by HealthAratus
Tool intelligence
What HealthAratus understands
HealthAratus currently understands ScreenPoint through deployment evidence, company records and external market activity.
- Category
- imaging_diagnostics
What HealthAratus is still learning
HealthAratus is beginning to understand ScreenPoint. As evidence and experience accumulate, what remains unclear will be stated here.
Evidence & claims
What this is built on
The material the questions above were built from, with its attribution.
ScreenPoint provides artificial intelligence for medical imaging. The technology assists in the interpretation of radiology scans.According to ScreenPoint
What ScreenPoint states
The vendor’s own claims. Testable where practice can actually test them.
Stated capability
Does the system provide automated detection or assessment for findings in your imaging workflow?
According to ScreenPoint
Does this change your workflow?
Independent and public evidence
Found in public sources. Not a clinician’s experience, and never presented as one.
Reported deployment
Artificial Intelligence (AI) for Proximal Caries Detection and Its Impact on Treatment Threshold
According to ClinicalTrials.gov AI
How widely is this actually used?
Reported deployment
Artificial Intelligence Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring
According to ClinicalTrials.gov AI
How widely is this actually used?
Reported deployment
AI-THEROSCOPE: AI Detection of Subclinical Atherosclerosis From Retinal Images
According to ClinicalTrials.gov AI
How widely is this actually used?
Reported deployment
Artificial Intelligence to Scale Early Rheumatic Heart Disease Detection
According to ClinicalTrials.gov AI
How widely is this actually used?
Reported outcome
Correction: Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study
According to JMIR Medical Informatics
Are you seeing this result?
Company participation
Not yet verified
A record of the reality forming around this technology already exists. No representative of the company has verified participation yet.
Claim your company profileReference
The stable facts, for interpreting everything above.
Overview
What it does
Radiology and imaging AI
Vendor & external product information, not independently verified by HealthAratus
Where it's used
Deployed in mixed settings
How the reality here has changed
Earlier activity concentrated on accuracy quality. More recent activity concentrates on time saved, workflow friction.
Earlier
- accuracy quality
More recently
- time saved
- workflow friction
Connected intelligence
Category intelligence