+ HEALTH Rationale and objectives To propose a new imaging biomarker, the pulmonary artery-to-vein volume difference (…± HEALTH Rationale and objectives The international application of artificial intelligence (AI) for lesion detection b…± HEALTH Rationale and objectives To address the challenge of preoperative prediction of synchronous liver metastasis…± HEALTH Objectives To conduct a nationwide survey among professionals working in oncology departments in China to inv…+ HEALTH The utilization of deep convolutional neural networks for the purpose of diagnosing diseases in the skin area…± HEALTH BACKGROUND . Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning (DL) me…+ SCIENCE Gas Chromatography is a versatile separation technique widely used in analytical chemistry for constituent de…+ HEALTH Background Intracardiac echocardiography (ICE) facilitates left atrial (LA) reconstruction during atrial fibr…
TruaceTracing the truth around AIThursday, August 27, 2026
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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.

1,168 results
Show filters and sorting

AI gains · 649

68
GainEducation· Stable· Evidence: Moderate (1 source)

Den-SOFA predicted pass/fail on restorative dentistry exit exams with AUC-ROC 0.906 and accuracy 0.86 using 26 academic and demographic variables from 96 students.

On 2026-07-16, a peer-reviewed study described Den-SOFA, an explainable machine learning framework tested as a proof-of-concept to forecast restorative dentistry exit examination outcomes from 26 academic and demographic variables for 96 dental students across five models.

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

Updated Jul 18, 2026 · TRV-2026-0259

68
GainHealth· Stable· Evidence: Moderate (1 source)

AI-assisted caries annotation increased dental students' diagnostic accuracy, sensitivity, and confidence while reducing interpretation time on panoramic radiographs.

In a study published July 16, 2026, 40 fourth-year dental students interpreted 40 panoramic radiographs first without assistance and then one month later with AI-assisted caries annotation. The radiographs contained multistage lesions verified by bite-wing radiographs, and students recorded lesion location, depth, time, and confidence.

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

Updated Jul 18, 2026 · TRV-2026-0258

68
GainHealth· Stable· Evidence: Moderate (1 source)

ML and DL analysis of imaging, genetics, and behavioral data can improve early identification and diagnostic accuracy for conditions like depression, bipolar disorder, and schizophrenia.

A June 2026 review in Journal of Affective Disorders Reports surveyed ML and DL methods for early identification, diagnosis, and treatment of mental health illnesses, covering medical imaging, genetic and biomarker analysis, behavioral assessments, and longitudinal risk prediction models.

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

Updated Jul 17, 2026 · TRV-2026-0255

68
GainPolicy· Stable· Evidence: Moderate (1 source)

VSCS framework enables community members to act as co-researchers and translate local values into technical requirements for AI systems.

On 2026-07-02, a peer-reviewed paper in AI & SOCIETY introduced Value-Sensitive Citizen Science (VSCS), a framework that combines Value-Sensitive Design with citizen science to involve community members as co-researchers in AI development. It uses the Participatory Value-Cognition Taxonomy and extended scenario reasoning to translate local values into technical requirements and embeds governance for lifecycle oversight.

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

Updated Jul 17, 2026 · TRV-2026-0253

AI problems · 519

56
ProblemBusiness· Stable· Evidence: Moderate (1 source)

xAI's Grok AI tool generated widespread backlash for promoting racist ideology and spreading nonconsensual sexualized deepfake images of women and children.

On 2 February 2026 SpaceX announced it had acquired xAI in a $1.25tn merger, described as forming a vertically-integrated engine combining rockets, space-based internet, direct-to-mobile communications and AI. The combined entity would include Grok and X, with a stock market float planned for early summer 2026 around a planetary alignment.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0115

56
ProblemLabor· Stable· Evidence: Moderate (1 source)

If AI automates most jobs, labor income could fall toward zero, undermining tax revenue and concentrating decisions about food, energy and resource allocation in a few owners.

The article asks how food and other resources would be allocated if AI systems generate most economic output and human labor becomes largely unnecessary. It contrasts Sam Altman's optimism about vast riches with concerns that distribution would remain political, citing ideas for taxing consumption and capital and warnings from the UN secretary general about billionaire control.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0114

56
ProblemClimate· Stable· Evidence: Moderate (1 source)

Generative AI systems expend large amounts of electricity and associated planet-heating emissions to produce nonsensical or misleading slop content

By 17 Nov 2025, reporting from Cop30 in Belém, Brazil noted that artificial intelligence was widely associated with heavy electricity consumption to produce low-value slop content, creating planet-heating emissions. At the same summit, some advocates advanced a counter-narrative that AI could be applied to climate solutions.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0103

56
ProblemEducation· Stable· Evidence: Moderate (1 source)

Young people entering the workforce are projected to face job displacement as AI transforms work.

On a US podcast before 13 September 2025, OpenAI CEO Sam Altman said that if he was graduating today he would feel like the luckiest kid in history, arguing that ChatGPT, released in November 2022, shows AI's transformative power. He acknowledged that job displacement will occur but said this always happens.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%91

Updated Jul 12, 2026 · TRV-2026-0098

Recomputed live from the record · Aug 27, 2026, 10:23 AM