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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

589
HealthStableModerate evidence · 1 source

In a retrospective audit of 5,000 women, the LBC-NET pipeline detected HSIL+ with higher sensitivity than senior cytopathologists and reduced review time while increasing daily capacity.

Researchers audited 5,000 archived liquid-based cytology cases and compared an interpretable machine learning pipeline, LBC-NET, to a double-blind panel of senior cytopathologists for detection of high-grade squamous intraepithelial lesions or worse, testing robustness across age and clinical subgroups.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
85

Updated Jul 30, 2026 · TRV-2026-0588

67Index score
590
ScienceStableModerate evidence · 1 source

Release of SynTabFall synthetic dataset with 745,380 samples allows training fall-risk prediction models without original patient data while achieving performance on par with models trained on real data.

On 2026-07-24, researchers described SynTabFall, a synthetic tabular health dataset of 745,380 samples and 44 attributes covering demographics, diseases, mobility and cognition risk factors for fall risk assessment. They reported that models trained on the synthetic data can reach predictive performance on par with models trained on real data, without requiring access to original patient records.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
85

Updated Jul 29, 2026 · TRV-2026-0583

67Index score
591
HealthStableModerate evidence · 1 source

AI and ML improved pharmaceutical research and healthcare capacity by enabling large-scale biomedical data analysis and data-driven decision-making.

By July 2026, a narrative review of 127 peer-reviewed studies from 2015-2026 examined how AI and ML are being used in pharmaceutical research and healthcare. The review found the technologies enable large-scale biomedical data analysis and data-driven decision-making while simultaneously introducing interconnected ethical challenges.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
85

Updated Jul 27, 2026 · TRV-2026-0578

67Index score
592
HealthStableModerate evidence · 1 source

Machine learning models integrating multimodal big data improved precision transfusion management for AML patients by predicting transfusion demand and assessing transfusion reaction risks.

This peer-reviewed review published July 24, 2026 synthesized recent progress on machine learning models that integrate multimodal big data such as electronic health records, genomic and proteomic data to guide transfusion support for acute myeloid leukaemia, a highly heterogeneous malignancy where transfusion is essential.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
85

Updated Jul 27, 2026 · TRV-2026-0577

67Index score

AI problems · 772

589
HealthStableModerate evidence · 1 source

AI support for robot-assisted distal pancreatectomy falsely recognized the dissection line, resulting in pancreatic tissue damage reported to FDA.

On 2026-06-23, an FDA device event record for Davinci xi by Intuitive surgical, inc. cited a literature case report on AI for surgical support in robot-assisted distal pancreatectomy. The record states the dissection line on the lower margin of the pancreas was falsely recognized and pancreatic tissue was damaged during the procedure.

Impact 30%
49
Evidence 25%
85
Scale 20%
35
Confidence 15%
62
Recency 10%
83

Updated Jul 19, 2026 · TRV-2026-0271

61Index score
590
BusinessStableModerate evidence · 1 source

Even that relatively dour outlook depends on productivity picking back up from virtually zero in recent years to the historical average of 1.2%, an assumption that leans heavily on AI, or what Chalmers described as “the biggest economic transformation of our lifetime”.

There will be more Australians dying than being born in 40 years’ time, according to the government’s latest intergenerational report, which lays bare the fundamental challenges of managing an ageing population at a time of rapid change and lower economic growth. The country’s seventh IGR also outlines how Australia is at the cusp of a new and uncertain age of artificial intelligence that will shape the economy and society over the coming four decades.

Impact 30%
63
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
96

Updated Sep 21, 2026 · TRV-2026-1155

60Index score
591
Media & ArtsStableModerate evidence · 1 source

Reach is cutting 220 editorial jobs after AI-generated summaries reduced referral traffic, with Google AI features linked to a 46% year-on-year decline in clicks to its sites.

On 16 September 2026, The Guardian reported that Reach, publisher of the Mirror, Express and regional titles, will cut 220 editorial jobs and close KentLive, AberdeenLive and GalwayBeo. The company cited a dramatic fall in online traffic as readers turn to AI summaries, following an earlier restructure that cut more than 300 jobs.

Impact 30%
63
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
95

Updated Sep 17, 2026 · TRV-2026-1115

60Index score
592
LaborStableModerate evidence · 1 source

Women represent only 26% of AI hires, indicating a systemic design flaw in how AI roles are filled and retained, with little compensation-linked accountability for closing the gap.

In August 2026, Forbes reported on new LinkedIn data showing women account for just 26% of AI hires. The article characterizes the disparity as a design flaw in hiring and retention systems rather than a simple talent shortage.

Impact 30%
63
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
91

Updated Aug 27, 2026 · TRV-2026-0901

60Index score

Recomputed live from the record · Oct 14, 2026, 12:20 AM