+ 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…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
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.

1,402 results
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AI gains · 778

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

A deep learning system using only a single video camera can identify exercises and estimate joint movement in older care-home residents, producing duration, repetition, and movement quality measures similar to professional sensor-based motion capture, enabling exercise monitoring without extra staff.

Researchers developed a deep learning system that uses a single video camera to watch older adults exercise, identify the exercise, estimate joint movements, and compute measures such as duration, repetitions, and movement consistency. The work was tested with care-home residents performing rehabilitation exercises.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 10, 2026 · TRV-2026-0721

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

AI-based authentication concluded the Badminton House version of The Lute Player is by Caravaggio, reversing prior dismissals as a copy.

On 27 September 2025, The Guardian reported that scientific analysis by Art Recognition using artificial intelligence concluded that The Lute Player at Badminton House is by Caravaggio with 85.7% probability, showing a strong match to verified works. The painting had previously been sold as after Caravaggio and circle of Caravaggio.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 10, 2026 · TRV-2026-0718

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

Students at Chandigarh University Uttar Pradesh will gain credit-based instruction in Artificial Intelligence and related fields integrated into their regular degree curriculum to build job-market skills.

On August 8, 2026, Chandigarh University Uttar Pradesh integrated 12 value-added, credit-based courses into its regular academic curriculum. The university said the courses, which include Artificial Intelligence, Business Analytics, Design Thinking and IoT, aim to equip students with additional skills alongside their degree.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 9, 2026 · TRV-2026-0713

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

Artists using AI image generators can create new visual worlds and reconstruct under-documented historical figures, demonstrating creative and intellectual potential for photography.

In January 2025, Photo Brussels festival at the Hangar gallery exhibited 17 projects that use AI text-to-image tools to make photographs, curated by Michel Poivert. Artists including Pascal Sgro, Brodbeck and de Barbuat, and Claudia Jaguaribe used Midjourney and other AI research to build fictional airline ads, re-stage iconic portraits, and reconstruct portraits of historically overlooked Brazilian women.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 9, 2026 · TRV-2026-0711

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

Researchers used an AI model to compare the Holbein corpus and cluster similar portraits, indicating the unidentified woman belongs in the Boleyn-Howard group and the Windsor sketch aligns with Elizabeth Howard.

Researchers at the University of Bradford applied an AI model that compares old master paintings to the Holbein corpus of more than 80 sketches in the royal collection. The system built a matrix comparing each image to every other and clustered close likenesses, placing an unidentified woman in the Boleyn-Howard group and linking the Windsor sketch to Elizabeth Howard.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 9, 2026 · TRV-2026-0710

56
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

AI brushstroke analysis by Art Recognition can distinguish authentic Van Eyck work, rating The Arnolfini Portrait as likely authentic.

On 7 February 2026, The Guardian reported an AI analysis by Swiss company Art Recognition of two near-identical paintings titled Saint Francis of Assisi Receiving the Stigmata held in Philadelphia and Turin and attributed to Jan van Eyck. The system found no Van Eyck brushstrokes, rating the works 91% negative and 86% negative, while rating The Arnolfini Portrait in London 89% likely authentic.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Aug 9, 2026 · TRV-2026-0709

AI problems · 624

No problems on this page.

Recomputed live from the record · Sep 14, 2026, 9:19 AM