AI Research Analyst - Performance Insights

Understanding how Alethos delivers reliable & actionable insights for health and insurance decision-making

94%

Decision Accuracy

Delivers a proven accuracy rate in every instance where the analyst issues a definitive verdict on high-risk health outcomes or claim validity.

0%

Hallucination Rate

Eliminates guesswork by providing clear resolution guidelines instead of assumptions when data remains ambiguous.

6.6x

Early Risk Detection

Outperforms the population baseline by 660% by identifying 5-year mortality risk patterns and hidden biomarker signatures early.

±3.43%

Calibration Precision

Maintains confidence probability estimates where the average deviation from reality is a near-perfect margin of error.

84%

Knowledge Coverage

Proactively identifies 84% of the population to deliver an informed and highly confident verdict for every individual in that group.

Diagnostic Reliability

Fact-anchored Correctness

94.4%
5,572 correct
328 errors
of 5,900 predictions

Of all the individuals Alethos issued an analyst prediction for, 94.4% received the correct 5-year health outcome prediction. When our AI Research Analyst flags an individual, that signal is not only backed by statistically verified hypotheses, but also highly reliable.

A Model You Can Trust

Confidence calibration reliability

1.18%CALIBRATIONERROR

The model's confidence closely matches reality: with 98.8% calibration, its predictions are on average only about 1.2% away from actual outcomes. This allows users to treat the displayed confidence scores as a reliable signal of how trustworthy each prediction is.

Zero-Hallucination Integrity

Proven knowledge Zero guesswork

Reliable Assessment Zone
84%

Predictions with Confidence: For these patients, Alethos' learned internal knowledge supports a statistically well-grounded assessment with high signal reliability.

5,900 cases
Anti-Hallucination Zone
16%

Safe & Intelligent Abstentions: These cases are inherently unclear and highly ambiguous. The model consciously abstains rather than risk hallucinating an answer it cannot ground.

1,141 cases
100% of cases pass through rigorous internal evaluation. Every prediction is either grounded in reliable, mathematically proven knowledge or honestly withheld to avoid hallucinations.

Knowledge Utilization

Hypothesis Usage per Assessment

Critical
1.53
Resilient
3.13
Overall average usage across samples2.98

Performance Advantage

Clinical outcome precision

Baseline
Model

Novel Knowledge Discovered

Mapping the knowledge frontier

Total Knowledge Yield

82%

The model has successfully uncovered 82% of the underlying knowledge driving the data with high reliability. While 100% represents theoretical omniscience—the absolute ceiling of all discovery—our system has effectively decoded 82% of the entire predictive knowledge from the data.

Knowledge Yield

The model's current discovered knowledge / explanatory reach

Perfect Knowledge

Absolute Omniscience - The Theoretical Limit that could ever be discovered

Key Evidence Drivers

Influencial Knowledge driving Assessments

1

High Pulse Pressure and Medical Equipment Dependence Predict Elevated Mortality Risk for Seniors

2

Absence of Chronic Disease and Normal Metabolic Markers Predict High Survival in Younger Adults

3

Normal Glucose and Platelet Counts in Young Adults Linked to Patient Survival

4

Elderly Patients Requiring Special Equipment with Low Albumin and Incomplete Vaccinations Face Mortality Risk

5

Prior Chronic Illness with High RDW and Low Lymphocytes Increases Mortality Risk

Ranked according to importance for predictionsTop 5 rules
ALETHOS BRAIN

No Data

No hypothesis data available