+ SCIENCE This study investigates the impact of a novel application of generative artificial intelligence (AI) in physi…− HEALTH The rapid integration of artificial intelligence (AI) into everyday life has created new intersections among…+ HEALTH Introduction Stereotactic Radiotherapy plays a main role in Brain Metastases treatment. Radiomics and Dosiomi…+ HEALTH Background Internet Gaming Disorder (IGD) poses significant psychological and social risks for adolescents. I…± HEALTH Background Major depressive disorder (MDD) is associated with high relapse rates, with around 20% of inpatien…± HEALTH Despite a decade in, immunotherapy (IO) treatment selection in non-small cell lung cancer (NSCLC) remains lar…+ HEALTH Rib fractures are a common type of chest injury, and the estimation of the fracture age mainly relies on clin…± HEALTH Abstract The integration of artificial intelligence (AI) into laboratory medicine has undergone a remarkable…
TruaceTracing the truth around AITuesday, September 15, 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.

1,418 results
Show filters and sorting

AI gains · 787

68
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

AI integration in newsrooms increases efficiency and productivity in news generation and supports journalists in data mining and craft improvement.

By June 2026, a peer-reviewed paper analyzed how AI and AIGC are being integrated into newsrooms, from data mining to co-creation of news products, increasing efficiency and output volume while prompting questions about human professionalism and editorial control.

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

Updated Aug 8, 2026 · TRV-2026-0697

68
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

In a Swiss survey experiment, readers judged AI-assisted and fully AI-generated news excerpts as comparable to human-written excerpts on credibility, readability and expertise, and reported higher immediate willingness to keep reading after AI involvement was disclosed.

A preregistered survey experiment in German-speaking Switzerland with 599 participants tested how audiences perceive news excerpts described as human-written, AI-assisted, or fully AI-generated. Participants first rated quality without knowing the production method, then learned how their excerpts were produced and reported engagement intentions.

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

Updated Aug 8, 2026 · TRV-2026-0696

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

State regulators and courts retain discretion to regulate platform design and engineering decisions as content-agnostic conduct not categorically immunized by Section 230 or the First Amendment.

Published July 6 2026, this law review article argues that Section 230 and the First Amendment do not categorically immunize digital platforms for harms caused by their own design choices. It proposes a typology separating direct primary harms from design decisions from secondary harms from user content and tertiary harms, focusing on personal-data-driven algorithmic targeting and dark patterns like infinite scrolling.

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

Updated Aug 8, 2026 · TRV-2026-0695

68
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

AI autonomy feasibility increases when defined cognitive rules combine with novel rule creation, supporting a predominantly hybrid human-AI configuration across creative tasks.

Researchers analyzed 593 tasks across 126 occupations in the cultural and creative industries using GPT-4 generated synthetic annotations of Australian Skills Classification descriptions. They measured cognitive and behavioural rules and estimated AI autonomy feasibility and efficiency potential to map where human, AI, or hybrid carriers fit.

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

Updated Aug 8, 2026 · TRV-2026-0693

AI problems · 631

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

As of the June 2025 search cutoff, evidence did not support claims that AI delivers precision medical education through OSCEs, with weaker performance in relational, situated, and culturally mediated competencies.

By July 2026, this scoping review had mapped the literature on AI in OSCEs, screening 421 records and including 22 studies across health professions education. It categorized uses in preparation, station construction, scoring, and delivery, and stratified findings by evidence maturity using FACETS, SAMR, and P4 frameworks.

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

Updated Jul 20, 2026 · TRV-2026-0325

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

MMAI lost independent prognostic value after adjustment for CAPRA clinical risk score and did not outperform established clinical tools for postprostatectomy outcome prediction.

By July 2026, investigators had tested a multimodal AI model originally validated in prostate biopsy specimens on a tissue microarray of 424 prostatectomy cases, generating scores for 414 patients. At 10 years, recurrence-free survival was 74% and metastasis-free survival 96%, and MMAI scores were associated with both endpoints in univariable models.

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

Updated Jul 20, 2026 · TRV-2026-0324

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

At the low-volume tertiary care hospital, implementing PhenoMATRIX alone without a timely release workflow was associated with increased time to result reporting due to delays between result availability and reporting.

By July 10 2026, a dual-center Canadian study reported before-and-after results for PhenoMATRIX, an AI-based software that provides continuous culture sorting and interpretation support for urine cultures on laboratory automation. Both a low-volume tertiary hospital and a high-volume community lab saw earlier availability of interpretable results, with measured TTRR changes of approximately 1.3 hours with PM+ automated release and approximately 5.3 hours with earlier manual review.

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

Updated Jul 20, 2026 · TRV-2026-0322

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

GPT-4o showed optimism and positional biases in risk-of-bias assessment because it relied on probabilistic language patterns rather than structured clinical reasoning.

By December 2025, researchers conducted a systematic review and meta-analysis of 13 trials (n=684) of five emerging biologics for osteogenesis imperfecta, using GPT-4o to perform parallel title/abstract and full-text screening and to assist risk-of-bias assessment. The AI workflow achieved 97.4% sensitivity at abstract level and 88.9% at full-text, reducing total screening time by over 95% with substantial agreement to humans (kappa 0.778).

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

Updated Jul 20, 2026 · TRV-2026-0321

Recomputed live from the record · Sep 15, 2026, 12:02 PM