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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 933 sourced gains and 770 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.

933 gains
770 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.

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AI gains · 933

733
HealthStableModerate evidence · 1 source

Deep learning models, especially U-Net variants and newer transformer ensembles, improved ischemic stroke lesion segmentation on MRI, achieving Dice scores above 0.80 and approaching 0.90 in multisite DWI reports, to support faster treatment selection and quantification.

By July 2026, a narrative review of 40 studies from 2020-2025 found deep learning, led by U-Net variants with residual and attention mechanisms and standardized pipelines like nnU-Net, increasingly achieved high Dice scores on MRI DWI/ADC, with many reports above 0.80 and recent transformer and ensemble multisite models approaching 0.90, while CT performance was lower and more variable.

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

Updated Jul 19, 2026 · TRV-2026-0268

67Index score
734
HealthStableModerate evidence · 1 source

Explainable ML models used after Wells/Geneva triage improved early PTE prediction in ED patients, with Extra Trees reaching 0.82 accuracy and 0.83 AUC.

In a 2022-2024 study of 472 emergency department patients with suspected pulmonary thromboembolism across three Mashhad University of Medical Sciences centers, researchers developed explainable machine-learning models intended to operate after Wells/Geneva triage. Using CTPA as reference, Extra Trees achieved accuracy 0.82, sensitivity 0.69, specificity 0.86 and AUC 0.83 for PTE prediction, and AUC 0.77 for central and 0.67 for peripheral emboli for anatomical classification.

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

Updated Jul 19, 2026 · TRV-2026-0267

67Index score
735
HealthStableModerate evidence · 1 source

LLM chatbots answered periodontal patient questions with scientific accuracy comparable to expert periodontologists while scoring higher on completeness and empathy.

A July 2026 peer-reviewed study compared ChatGPT GPT-5.1, Gemini 2.5 Flash, and Claude Sonnet 4.5 against expert periodontologists on 20 periodontal patient questions. Nine blinded periodontologists rated anonymized answers for scientific accuracy, completeness, conciseness & focus, empathy, and clarity.

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

Updated Jul 19, 2026 · TRV-2026-0265

67Index score
736
HealthStableModerate evidence · 1 source

LightGBM model trained on 282 Lenke 1/2 AIS patients predicted postoperative coronal imbalance with AUC 0.885 training and 0.824 internal validation, identifying LIV-LSTV, Lumbar Modifier, and Risser grade as key predictors.

In 282 patients with Lenke 1/2 adolescent idiopathic scoliosis treated with selective posterior thoracic fusion, investigators built an interpretable machine learning pipeline to stratify risk of postoperative coronal imbalance. After reducing 24 candidates to key features, a LightGBM model achieved the highest discrimination with AUC 0.885 in training and 0.824 in internal validation, with SHAP highlighting LIV-LSTV relationship, Lumbar Modifier, and Risser grade.

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

Updated Jul 19, 2026 · TRV-2026-0263

67Index score

AI problems · 770

733
Media & ArtsStableModerate evidence · 1 source

Suno's AI music generator was shown to have scraped decades of audio for training after a hacker accessed internal source code via employee credentials.

A hacker gained access to Suno's internal source code by using an employee's credentials, and the code review that followed exposed the company's audio collection practices for its AI music generator.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 16, 2026 · TRV-2026-0231

55Index score
734
Media & ArtsStableModerate evidence · 1 source

Suno's AI music models were powered by data pulled from third-party streaming services and lyric sites including YouTube Music, Deezer and Genius

By July 15, 2026, a new hack revealed the sourcing behind Suno's AI music service, showing the company pulled from streaming services and websites such as YouTube Music, Deezer and Genius to power its product and models.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 16, 2026 · TRV-2026-0230

55Index score
735
Media & ArtsStableModerate evidence · 1 source

The same caring Optimization System flattens culture, tamps down places and people, and carefully manages humanity's decline into obsolescence.

The Guardian review of D-topia on 2026-07-14 describes a far-future non-Earth planet run by an Optimization System that appears as cute droids and controls architecture and weather to maximize happiness. The player is a Facilitator performing low-friction grid maths puzzles and helping residents like Tot, who has a brain chip, and Eebie, who wants expressive fashion.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 16, 2026 · TRV-2026-0229

55Index score
736
PolicyStableModerate evidence · 1 source

AI used in the uncrewed systems can hallucinate and generate false results, creating risk of technical failure during autonomous operations.

In July 2026 the Royal Netherlands Navy began a five-week trial off Den Helder to test uncrewed surface vessels, aerial drones and underwater mine mappers operating as a coordinated system controlled by software, with the GeoSea vessel as a test base. The effort is part of a plan to have more than half of naval work done by uncrewed systems within five years and to eventually surround crewed ships with autonomous rings.

Impact 30%
49
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 16, 2026 · TRV-2026-0228

55Index score

Recomputed live from the record · Oct 11, 2026, 2:30 PM