TruaceTracing the truth around AIMonday, September 14, 2026
The Index

What the evidence says.What the public feels.

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

1,404 results
Show filters and sorting

AI gains · 779

67
GainHealth· Stable· Evidence: Moderate (1 source)

Explainable ML models used after Wells/Geneva triage improved early PTE prediction in ED patients, with Extra Trees reaching 0.82 accuracy and 0.83 AUC.

In a 2022-2024 study of 472 emergency department patients with suspected pulmonary thromboembolism across three Mashhad University of Medical Sciences centers, researchers developed explainable machine-learning models intended to operate after Wells/Geneva triage. Using CTPA as reference, Extra Trees achieved accuracy 0.82, sensitivity 0.69, specificity 0.86 and AUC 0.83 for PTE prediction, and AUC 0.77 for central and 0.67 for peripheral emboli for anatomical classification.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 19, 2026 · TRV-2026-0267

67
GainHealth· Stable· Evidence: Moderate (1 source)

LLM chatbots answered periodontal patient questions with scientific accuracy comparable to expert periodontologists while scoring higher on completeness and empathy.

A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 19, 2026 · TRV-2026-0265

67
GainHealth· Stable· Evidence: Moderate (1 source)

LightGBM model trained on 282 Lenke 1/2 AIS patients predicted postoperative coronal imbalance with AUC 0.885 training and 0.824 internal validation, identifying LIV-LSTV, Lumbar Modifier, and Risser grade as key predictors.

In 282 patients with Lenke 1/2 adolescent idiopathic scoliosis treated with selective posterior thoracic fusion, investigators built an interpretable machine learning pipeline to stratify risk of postoperative coronal imbalance. After reducing 24 candidates to key features, a LightGBM model achieved the highest discrimination with AUC 0.885 in training and 0.824 in internal validation, with SHAP highlighting LIV-LSTV relationship, Lumbar Modifier, and Risser grade.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 19, 2026 · TRV-2026-0263

67
GainLifestyle· Stable· Evidence: Moderate (1 source)

Explainable AI methods such as SHAP and Grad-CAM improve food quality control by identifying which spectral wavelengths or image regions drive predictions, increasing transparency for inspectors verifying contaminant detection and freshness assessments.

Published April 24, 2026, this peer-reviewed review examines the use of explainable AI in Food Engineering. It describes how AI models using spectral imaging are used to detect contaminants and assess freshness to meet food quality standards, but their complexity creates opacity that hinders adoption by quality control inspectors.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 18, 2026 · TRV-2026-0260

AI problems · 625

55
ProblemBusiness· Stable· Evidence: Moderate (1 source)

Near 800,000 Accenture employees face being exited if they do not adopt AI tools at work amid the shift to AI-led services.

Accenture has begun calling its near 800,000 employees reinventors as part of a push to be seen as a leader in artificial intelligence. The term came from a June reorganisation that combined strategy, consulting, creative, technology and operations into Reinvention Services, and chief executive Julie Sweet has started using the label internally while the firm pushes broader adoption.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%88

Updated Jul 12, 2026 · TRV-2026-0093

55
ProblemEducation· Stable· Evidence: Moderate (1 source)

A trainee English teacher experienced increased uncertainty and anxiety about how to respond to artificial intelligence in teaching

Two years ago at age 39, after 15 years as a freelance writer and novelist, the author began training to teach English with the aim of helping young people become stronger readers, writers and thinkers. As training progressed, a persistent question about what to do about artificial intelligence created growing uncertainty.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%88

Updated Jul 12, 2026 · TRV-2026-0088

55
ProblemEducation· Stable· Evidence: Moderate (1 source)

Assigning sixth-grade students in a Brooklyn middle school to use Google Gemini for feedback on a science experiment risks teaching students to outsource thinking to machines instead of peer discussion and revision

In October, a sixth-grade student at a middle school in Brooklyn received an assignment to create a science experiment and then ask Google Gemini for feedback. His mother, Kelly Clancy, objected to the teacher and later founded Parents for AI Caution in Educational Spaces, which is pushing for a two-year moratorium on AI in New York City public schools.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%88

Updated Jul 12, 2026 · TRV-2026-0087

55
ProblemCrime· Stable· Evidence: Moderate (1 source)

Criminals using artificial intelligence to run investment scams persuaded UK victims to move money into fake funds, causing about £221.5m in losses in 2025

UK Finance reported almost 15,000 investment scams in 2025, with about £221.5m lost after people were persuaded to move money to fake investments or fictitious funds, a 40% rise on the prior year. The report said criminals use artificial intelligence to dupe people and that advances in AI make large-scale scams easier, with schemes involving gold, cryptocurrencies and wine.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%88

Updated Jul 12, 2026 · TRV-2026-0084

Recomputed live from the record · Sep 14, 2026, 4:20 PM