− MEDIA & ARTS The article is devoted to a comprehensive analysis of modern problems of protecting musical works in the cont…+ 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…
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.

1,169 results
Show filters and sorting

AI gains · 649

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

LLM analysis of 355 articles to extract chemical relationships guided selection of building blocks and thiazole linkage to synthesize Thz-COF that produces high-concentration H2O2.

Researchers used a large language model to mine 355 papers on COF photocatalysis, extracting over 11,000 chemical relationships to inform materials design. The model identified optimal building blocks and a thiazole linkage, leading to synthesis of Thz-COF.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0383

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

LLMs such as GPT-4 and Llama can enhance analysis and interpretation of wearable sensor data to advance health monitoring, activity recognition, and personalized medicine.

As of August 4, 2024, this peer-reviewed survey in Sensors reviewed early trends in using large language models such as GPT-4 and Llama to model vast wearable sensor data for human activity recognition, health monitoring, and behavioral modeling, integrating them with time series and deep learning methods.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0381

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

Integration of AI and machine learning with microfluidic chip technologies amplifies automation, reliability and analytical power, enabling smart diagnostic platforms that self-optimize and support clinical decision-making for cancer, infectious disease and point-of-care testing.

A February 2026 review in Biosensors summarizes how lab-on-a-chip systems have been advanced through 3D printing, modular substrates, and biosensor integration, and how coupling with AI and machine learning has created smart platforms for cancer diagnostics, infectious disease detection, point-of-care testing, and therapeutic monitoring.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0380

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

Human-in-the-loop AI improved diagnostic accuracy, reduced medical errors, and enhanced patient safety compared to fully automated AI and clinician-only approaches.

A February 2026 narrative review in the International Journal of Medical Informatics synthesized studies from 2018 to 2025 on human-in-the-loop AI in healthcare. It found HITL approaches applied across diagnostic imaging, clinical decision support, patient monitoring, drug discovery, and research data analysis, with evidence of improved diagnostic accuracy, reduced medical errors, and increased clinician trust versus automated or traditional care.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0379

AI problems · 520

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

AI image generators like Midjourney reproduced dataset biases, including generic ethnic features, gendered nudity assumptions, and advertising-driven distortions in recreations of famous photographs.

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%96

Updated Aug 9, 2026 · TRV-2026-0711

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

AI analysis of two museum paintings attributed to Jan van Eyck found no detectable Van Eyck brushstrokes, casting doubt on their attribution and creating reputational risk for the holding museums.

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%96

Updated Aug 9, 2026 · TRV-2026-0709

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

Nine Entertainment will eliminate about 30 newsroom jobs at the Sydney Morning Herald and the Age, attributing stalled reader revenue and falling digital subscriptions to AI-driven disruption of search and news consumption.

On 21 July 2026, Nine Entertainment told staff at the Sydney Morning Herald and the Age it would cut around 30 roles through voluntary and targeted redundancies. Publishing managing director Tory Maguire said the company is in an extreme state of disruption because of AI, with reader revenue stalling for the first time in three years and digital subscription revenue down 6% last year.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%96

Updated Aug 9, 2026 · TRV-2026-0708

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

AI-assisted news bulletins on Triple M and SAFM broadcast false identification of Adelaide Advertiser journalist Dylan Hogarth as an alleged violent offender who struck police with a hammer and fled custody.

On 12 December 2025, Southern Cross Austereo's Triple M and SAFM stations broadcast multiple news bulletins that wrongly named Adelaide Advertiser journalist Dylan Hogarth as an alleged offender who had struck police with a hammer and fled on foot, after Hogarth had reported the court naming of the actual alleged offender.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%96

Updated Aug 9, 2026 · TRV-2026-0706

Recomputed live from the record · Aug 27, 2026, 5:32 PM