Truace
Subscribe
The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 935 sourced gains and 771 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.

935 gains
771 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.

1,706 results
Show filters and sorting

Download every matching row, not just this page:Export CSVExport JSON

AI gains · 935

421
ClimateStableModerate evidence · 1 source

An integrated source-pathway-receptor framework using XGBoost and SHAP improved differentiation of industrial versus agricultural PTE risks in farmland soils and supported targeted zoned control to avoid excessive remediation.

Researchers built an integrated risk index-machine learning framework based on source-pathway-receptor concepts to evaluate potentially toxic elements in farmland soils of a mining city, combining improved Nemerow index, potential ecological risk index, Monte Carlo health risk assessment, and XGBoost regression with SHAP interpretation.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
92

Updated Aug 30, 2026 · TRV-2026-0926

68Index score
422
HealthStableModerate evidence · 1 source

Using a machine learning model to measure CT body composition at L3 identified myosteatosis as an independent predictor of recurrence in stage II-III colon cancer.

Researchers applied a machine learning model called Mosamatic to routine CT staging scans from 615 patients with stage II-III colon cancer treated between 2015-2021 at one center to quantify skeletal muscle area, density, and fat. They found myosteatosis was more common in those who later recurred and was linked to worse recurrence-free survival at 1 and 5 years.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
91

Updated Aug 28, 2026 · TRV-2026-0920

68Index score
423
HealthStableModerate evidence · 1 source

Machine learning models using 7T SWI vascular topology, density and intensity features enabled noninvasive preoperative differentiation of glioma IDH status and WHO grade, with improved performance when integrated with clinical factors.

Researchers evaluated 7T susceptibility-weighted imaging to map glioma vascular microenvironment features for preoperative differentiation. In 218 histologically confirmed cases, they extracted vascular topology, density and intensity after Frangi filtering and 3D skeletonization and trained machine learning models to distinguish IDH-mutant versus wildtype and WHO Grade 1-2 versus 3-4.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
91

Updated Aug 28, 2026 · TRV-2026-0917

68Index score
424
HealthStableModerate evidence · 1 source

EndoVLM increased visual question-answering accuracy for gastrointestinal endoscopy, raising Kvasir-VQA scores and improving external validation on Gastrovision.

Researchers introduced EndoVLM, a vision-language assistant tailored for gastrointestinal endoscopy, using ConvNeXt as a hierarchical visual encoder instead of Vision Transformers and a three-stage fine-tuning schedule to align the projector, adapt the visual backbone, and improve instruction following. By August 2026 publication, the model was tested on Kvasir-VQA and externally validated on Gastrovision.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
91

Updated Aug 28, 2026 · TRV-2026-0916

68Index score

AI problems · 771

421
Media & ArtsStableModerate evidence · 1 source

AI text-to-music systems can generate folk and rock songs almost instantly but simulate stylistic language without situated experience, while social media platforms recode musical authenticity into visibility metrics and algorithmic circulation.

Published June 12, 2026, this peer-reviewed analysis examines generative AI's shift of music production from specialist studios to prompt-based, platform-mediated creation, focusing on folk, rock, and protest traditions. Using a qualitative critical-hermeneutic approach, it analyzes selected songs and literature on text-to-music generation, copyright, and embodied creativity.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 22, 2026 · TRV-2026-0469

67Index score
422
EducationStableModerate evidence · 1 source

In academia, the same ChatGPT use for personal skill development may impair a person's capacity for critical thought and content production and provide false information tied to training dataset errors.

As of March 27 2024, this peer-reviewed review examined ChatGPT, described as Chat Generative Pre-trained Transformer, often referred to as ChatGPT-4, and its uses in academia. Using a noticing-collecting-thinking approach to review literature and online resources, it categorized opportunities and constraints into research, education, personal skill development, and social aspects.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0464

67Index score
423
HealthStableModerate evidence · 1 source

LLM chatbots supporting GBV survivors can generate hallucinations or errors that create unintended harms for individual users.

Published 7 November 2025 in International Review of the Red Cross, this peer-reviewed analysis examined proposals to use LLM-powered chatbots to provide direct care, information and mental health and psychosocial support to women and girls in armed conflicts and humanitarian emergencies, with a focus on gender-based violence survivors.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0463

67Index score
424
LifestyleStableModerate evidence · 1 source

Emotional AI risks hollowing human connection by replacing shared vulnerability with predictive performance, fostering emotional substitution and blurring authentic care with algorithmic response.

Published November 17 2025 in Frontiers in Psychology, the article examines how AI has moved into emotion through affective computing that detects and simulates affect. It describes chatbots like Replika, Woebot and Kuki and therapeutic bots that use warmth and validation cues, and argues they create a compassion illusion where recognition is mistaken for resonance.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0462

67Index score

Recomputed live from the record · Oct 13, 2026, 6:28 AM