± HEALTH Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and gener…+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…
TruaceTracing the truth around AIMonday, September 14, 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.

1,404 results
Show filters and sorting

AI gains · 779

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

AI-generated digital twins of patients enable comprehensive predictions of future health outcomes and optimization of individualized treatment plans.

Published November 11 2024, this review examines Digital Twins and Digital Human Twins as virtual replicas of patients that combine physiological data with AI models to predict health outcomes and tailor therapies.

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

Updated Jul 19, 2026 · TRV-2026-0277

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

Adversarial training, input preprocessing, data augmentation and uncertainty estimation are being explored to enhance robustness and reliability features of deep learning medical diagnosis systems built on TensorFlow and PyTorch.

Published November 8, 2024, this review examines whether deep learning models for medical diagnosis can maintain performance when exposed to adversarial or noisy inputs, analyzing influences such as model complexity, training data quality, and hyperparameters.

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

Updated Jul 19, 2026 · TRV-2026-0276

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

Integrating genomics, transcriptomics, proteomics and metabolomics with machine learning enables more precise and tailored therapeutic strategies that improve treatment efficacy and reduce adverse effects.

Published November 30, 2024, this peer-reviewed article reviews how combining genomics, transcriptomics, proteomics and metabolomics with machine learning and high-throughput sequencing is being used to tailor therapies to individual genetic and molecular profiles.

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

Updated Jul 19, 2026 · TRV-2026-0274

AI problems · 625

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

Americans report concern that their 401(k) retirement savings are becoming involuntarily tied to SpaceX and other AI-focused companies through S&P 500 index funds, raising fears about inequality, market instability, and sustainability of the AI boom.

In June 2026 after SpaceX's $1.77tn IPO made Elon Musk the world's first trillionaire, The Guardian reported that millions of Americans could become indirect investors in SpaceX and other AI-focused firms because 401(k) retirement plans are heavily invested in index funds tracking major market indices, with Musk pushing for early inclusion.

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

Updated Jul 14, 2026 · TRV-2026-0214

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

The AI edit of the campaign photo produced distorted hands, garbled sign text, and smeared faces.

After Richard Tice posted a photo of an apparent Reform campaign event, critics pointed to five types of artifacts suggesting AI manipulation, including extra fingers, garbled placard text, smeared faces, pixel-perfect railings and geometric concrete, and a floating sign. Reform UK said the underlying photograph is real and that the posted version was slightly edited using AI mainly to increase brightness.

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

Updated Jul 13, 2026 · TRV-2026-0118

55
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%88

Updated Jul 13, 2026 · TRV-2026-0115

55
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%88

Updated Jul 13, 2026 · TRV-2026-0114

Recomputed live from the record · Sep 14, 2026, 5:53 PM