+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 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.

1,155 results
Show filters and sorting

AI gains · 641

78
GainLifestyle· Stable· Evidence: Moderate (1 source)

AI use in the food industry enhances food quality and security and enables more transparent supply chain management while reducing human intervention and effort.

As of its September 2024 publication, this review describes how the food industry uses AI, including ANN and CNN, to detect quality of food and agricultural products and to pursue more transparent supply chain management with reduced human intervention.

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0363

78
GainHealth· Stable· Evidence: Moderate (1 source)

Interviewed users reported high engagement with generative AI chatbots like ChatGPT and described positive mental health impacts including improved relationships and healing from trauma and loss.

In a peer-reviewed study published October 27, 2024, researchers interviewed nineteen individuals about using generative AI chatbots like ChatGPT for mental health. Participants described high engagement and meaningful support, organized into themes of emotional sanctuary, insightful guidance about relationships, joy of connection, and comparisons to human therapy.

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0353

78
GainCrime· Stable· Evidence: Moderate (1 source)

Hybrid and ensemble neural network frameworks that combine temporal, relational, and anomaly-detection capabilities consistently achieve superior real-time fraud detection performance in credit card networks and instant payment systems.

As of its March 5 2026 publication, this narrative literature review surveyed how neural network architectures are used for real-time financial fraud detection, covering MLPs, LSTMs, CNNs, Autoencoders, GNNs and Transformers, and the production requirement to operate within sub-100-millisecond payment authorization pipelines, with examples from credit card networks and Brazil's PIX system.

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0339

78
GainHealth· Stable· Evidence: Moderate (1 source)

M4CXR achieved higher report consistency than ChatGPT-4o and cut reporting time from 179.2 seconds unaided to 16.3 seconds assisted when interpreting chest radiographs.

In a retrospective study published July 11 2026, investigators tested 500 chest radiographs from one tertiary center with two AI systems, M4CXR and ChatGPT-4o, having four radiologists score AI-generated reports for finding detection and RADPEER discrepancies. M4CXR reached 55.8% complete concordance versus 19.8% for GPT-4o and reduced mean reporting time to 16.3 seconds from 179.2 seconds unaided.

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0312

AI problems · 514

78
ProblemLifestyle· Stable· Evidence: Moderate (1 source)

Higher social-interaction burnout and subjective loneliness predict stronger emotional attachment to AI companions among young adults, with parasocial interaction mediating the relationship.

A June 2026 peer-reviewed survey of 1,200 young adults in Palembang, Indonesia examined why socially active youth turn to large-language-model AI companions. Using validated scales and mediation-moderation analysis, it found burnout, loneliness, and parasocial interaction strongly predicted emotional attachment to AI, with judgment apprehension amplifying the loneliness effect.

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0164

76
ProblemSports· Stable· Evidence: High (5 sources)

Rapid adoption of AI in sports raises complex legal challenges involving data protection, intellectual property, liability, and ethics that current frameworks may not adequately address.

A peer-reviewed article from April 2026 examines how artificial intelligence is being used in the sports industry for performance analysis, fan engagement, and decision-making, and analyzes the legal foundations governing that use.

Impact 30%49
Evidence 25%100
Scale 20%60
Confidence 15%100
Recency 10%92

Updated Jul 17, 2026 · TRV-2026-0238

76
ProblemScience· Stable· Evidence: High (5 sources)

AI progress is blocked because industry data remains in isolated islands and privacy and security constraints are strengthening.

In a January 2019 peer-reviewed survey, researchers described two persistent barriers for AI: data siloed as isolated islands and tightening privacy and security requirements. They proposed a comprehensive secure federated-learning framework that includes horizontal, vertical, and transfer variants, and surveyed existing work on definitions, architectures, and applications.

Impact 30%49
Evidence 25%100
Scale 20%60
Confidence 15%100
Recency 10%92

Updated Jul 13, 2026 · TRV-2026-0212

Recomputed live from the record · Aug 27, 2026, 2:51 AM