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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 939 sourced gains and 772 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

939 gains
772 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,711 results
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AI gains · 939

481
LifestyleStableModerate evidence · 1 source

Among Chinese fashion-design practitioners, satisfaction of basic psychological needs, especially competence, increased behavioral intention to adopt AIGC tools.

Researchers examined why fashion designers adopt Artificial Intelligence Generated Content, which is described as increasingly used in creative design. Using the Stimulus-Organism-Response framework combined with Self-Determination Theory, they surveyed 318 Chinese fashion-design practitioners and analyzed 21 items with PLS-SEM to link perceived risk, social influence and facilitating conditions to autonomy, competence, relatedness and behavioral intention.

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

Updated Aug 18, 2026 · TRV-2026-0818

67Index score
482
HealthStableModerate evidence · 1 source

Using mitigation approaches such as diverse and representative datasets and enhanced transparency and accountability can improve fairness of AI systems applied to healthcare decision-making and medical diagnosis.

A peer-reviewed survey published December 26, 2023 reviewed literature on fairness and bias in AI, focusing on sources such as data, algorithm, and human decision biases and the emerging issue of generative AI bias in synthetic media across healthcare, employment, criminal justice, and credit scoring.

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

Updated Aug 17, 2026 · TRV-2026-0813

67Index score
483
HealthStableModerate evidence · 1 source

CT-based prediction, including AI approaches, provides essential information for early hematoma expansion risk stratification to support individualized management after spontaneous intracerebral hemorrhage.

This peer-reviewed review in GeroScience appraises CT-based prediction of hematoma expansion after spontaneous intracerebral hemorrhage, a major determinant of early deterioration. It compares contrast-enhanced signs like spot, leakage and iodine signs with non-contrast signs including blend, black hole, island, satellite, hypodensity and swirl signs, plus shape and heterogeneity, and evaluates composite scores and AI approaches including radiomics, machine learning and deep learning.

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

Updated Aug 17, 2026 · TRV-2026-0810

67Index score
484
EducationStableModerate evidence · 1 source

Nursing academics selectively use AI to improve academic productivity and research writing efficiency.

A scoping review published August 15, 2026 examined how nursing academics perceive and use AI in nursing education, synthesizing 15 studies from eight countries with 2004 academics. It found most believe AI will revolutionise education but actual use is selective and conservative, concentrated at the augmentation level for productivity and research writing rather than assessment or transformative pedagogy.

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

Updated Aug 17, 2026 · TRV-2026-0808

67Index score

AI problems · 772

481
HealthStableModerate evidence · 1 source

Caregivers reported nuanced tensions and concerns about using the chatbot for mental health support, including gaps around crisis management, personalization, and data privacy.

On March 24, 2026, researchers reported developing Carey, a GPT-4o-based chatbot intended to provide informational and emotional support to family caregivers of people with Alzheimer's and related dementias. They used Carey as a technology probe in semi-structured interviews with 16 caregivers after scenario-driven interactions, identifying six themes of need and expectation.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0347

67Index score
482
BusinessStableModerate evidence · 1 source

AI systems pose risks across seven effect areas ranging from discrimination and privacy violations to misinformation and weapons development that concern auditors, policymakers, companies and the public.

On March 30 2026, a peer-reviewed paper in Patterns described the AI Risk Repository, a living database of 1,725 risks extracted from 74 existing taxonomies and frameworks. The authors created two complementary systems to organize them: a Causal Taxonomy by origin, intent and timing, and a Domain Taxonomy by effects across seven areas.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0344

67Index score
483
HealthStableModerate evidence · 1 source

In patients with LAD myocardial bridging, longer bridging length increased risk of abnormal FFRCT, with a larger effect in females, and females with isolated bridging had more pronounced distal hemodynamic compromise.

A retrospective study of 300 patients with left anterior descending artery myocardial bridging and 104 controls used an AI-based platform, Shukun-FFRCT, to obtain whole-vessel and segmental FFRCT values and relate them to bridging morphology and sex.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0331

67Index score
484
HealthStableModerate evidence · 1 source

Despite higher scores, the evaluated large language models have identified limitations that prohibit them from replacing human experts for triage in overcrowded emergency departments.

Researchers designed the Skyer benchmark to evaluate fifteen large language models on 55 realistic pediatric emergency department scenarios using a weighting system for over-triage and under-triage plus three repeat runs for consistency. By the publication date of July 11 2026, ChatGPT-4.5-preview and Gemini-2.5_05-06 had shown 77% and 74% accuracy with mean weights of 377.5 and 365 out of 550, compared to 64% and 253.5 for human experts.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0327

67Index score

Recomputed live from the record · Oct 13, 2026, 12:26 PM