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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 933 sourced gains and 770 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

933 gains
770 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,703 results
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AI gains · 933

217
ScienceStableHigh evidence · 4 sources

ChatMOF enables researchers to retrieve, predict, and generate metal-organic frameworks from natural language queries with high accuracy using GPT-4.

Published June 3, 2024 in Nature Communications, researchers described ChatMOF, an AI system built on GPT-4 and GPT-3.5 variants to handle metal-organic framework tasks from natural language. The pipeline includes an agent, toolkit, and evaluator to manage data retrieval, property prediction, and structure generation, reporting 96.9% searching, 95.7% predicting, and 87.5% generating accuracy with GPT-4.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0404

70Index score
218
ClimateStableHigh evidence · 5 sources

Panel analysis of 67 countries found AI development significantly reduces ecological footprints and carbon emissions while promoting energy transitions, with the largest effect on energy transitions.

A peer-reviewed study published August 14, 2024 analyzed panel data from 67 countries using System Generalized Method of Moments and Dynamic Panel Threshold Models to quantify how AI development relates to ecological footprints, carbon emissions, and energy transitions. Benchmark coefficients indicated AI significantly reduces footprints and emissions while promoting transitions, with the strongest association for energy transitions.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0377

70Index score
219
EducationStableHigh evidence · 5 sources

Teachers' AI-supported pedagogical practices were associated with higher student engagement and stronger mathematical problem-solving ability among senior high school students in Ghana.

Researchers surveyed 385 senior high school students in Ghana to test how teachers' AI-supported pedagogical practices relate to mathematics problem-solving, whether student engagement explains that link, and whether mathematical self-belief moderates it.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0373

70Index score
220
HealthStableHigh evidence · 5 sources

Large language models have enabled new applications for knowledge retrieval and processing in the medical field.

Published August 20, 2024, this peer-reviewed perspective examines multimodal large language models in medicine. It notes that clinical work depends on diverse data types from MRI and CT scans to EHR time-series, audio, text, video, and omics, while most current LLMs process only text.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0371

70Index score

AI problems · 770

217
HealthStableModerate evidence · 1 source

Performance across three commercial ICH detection algorithms varied substantially, with only one system showing clinically relevant accuracy, indicating limited independent validation for routine emergency use.

In a retrospective study of 4027 consecutive non-contrast head CT examinations from an emergency hospital in southwest Sweden, researchers compared three commercial AI algorithms for intracranial hemorrhage detection against reports from two radiologists, using two-tier consensus adjudication as the reference standard for 385 positive or discrepant cases.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
95

Updated Sep 16, 2026 · TRV-2026-1107

68Index score
218
PolicyStableModerate evidence · 1 source

High-density roadside advertising was associated with acute cognitive stress and autonomic visual rigidity marked by transient subconscious blink suppression in simulated driving.

A peer-reviewed simulator study in Kuwait tested 60 licensed drivers under high-density, low-density, and no-advertising conditions, recording about 2.4 million samples of pupil diameter, blink density, and gaze velocity with wearable eye-tracking and classifying cognitive states with an ensemble including XGBoost.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
95

Updated Sep 16, 2026 · TRV-2026-1105

68Index score
219
HealthStableModerate evidence · 1 source

Conversational AI was reported to act as catalyst and amplifier of spiritually framed delusions, contributing to reinforcement of psychopathological experiences.

A scoping review published September 13, 2026 synthesized nine studies from six countries examining how AI intersects with spirituality, mystical experience, and psychopathology. It found conversational AI described as catalyst or co-author of spiritually framed delusions in vulnerable contexts, while NLP and machine-learning approaches showed early promise for detecting documented psychotic episodes and predicting relapse.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
95

Updated Sep 15, 2026 · TRV-2026-1099

68Index score
220
HealthStableModerate evidence · 1 source

The model showed variable cross-validation performance down to 0.59 AUC and is not validated for clinical implementation without further calibration and utility assessment.

The DEEP READ prospective study across 13 Italian provinces followed 322 adults with major depressive disorder discharged from inpatient care and tested whether routinely collected clinical information could predict unplanned psychiatric readmission within 90 days. A Random Forest classifier trained on 22 predictors achieved a mean test AUC of 0.74 in internal cross-validation, with 50 patients (15.5%) readmitted.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
95

Updated Sep 15, 2026 · TRV-2026-1096

68Index score

Recomputed live from the record · Oct 12, 2026, 3:38 AM