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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

577
HealthStableModerate evidence · 1 source

Generative AI can personalize radiology trainee learning pathways and generate synthetic imaging cases and board-style questions to augment curriculum planning and assessment.

This 2026 RadioGraphics review examines how artificial intelligence, especially generative models, could be applied across radiology education from curriculum planning to implementation and evaluation using Harden's 10-step framework.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 1, 2026 · TRV-2026-0612

67Index score
578
HealthStableModerate evidence · 1 source

Machine learning models that integrate clinical and radiomics features achieved high pooled discrimination for predicting hematoma expansion, poor functional outcome, and mortality in adults with spontaneous intracerebral hemorrhage.

A systematic review and meta-analysis up to September 2025 synthesized 83 studies involving at least 136,840 patients to evaluate machine learning models predicting hematoma expansion, poor functional outcome, and mortality after spontaneous intracerebral hemorrhage. Pooled analyses found that models combining clinical and radiomics features achieved the highest discrimination, with C-indexes of 0.822, 0.850, and 0.860 respectively, largely from internal validation sets.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Aug 1, 2026 · TRV-2026-0611

67Index score
579
HealthStableModerate evidence · 1 source

Survival models including machine learning approaches predicted imminent 30-day opioid overdose following a first opioid-related diagnosis with C-indices up to 0.745, identifying prior overdose and opioid misuse as strongest predictors for proactive clinical intervention.

Using longitudinal EHR data from the All of Us Research Program, a prospective cohort study tracked adults after a first opioid-related diagnosis to predict overdose within 30 days. Classical and machine learning survival models were tested, with 560 overdoses observed among 14,737 individuals and best test-set C-indices between 0.708 and 0.745.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Jul 31, 2026 · TRV-2026-0603

67Index score
580
HealthStableModerate evidence · 1 source

ConvNeXt-based AI trained on 3676 smartphone images from 1016 patients achieved AUCs of 0.825-0.860 for EASI component scores >=2 and >0.900 for score 3, supporting use as an educational tool to standardize EASI scoring.

Researchers prospectively collected 3676 smartphone images from 1016 atopic dermatitis patients at 16 Japanese institutions and trained a ConvNeXt model to score four EASI signs against dermatologist ratings. The model achieved AUCs of 0.825 to 0.860 for scores >=2 and over 0.900 for score 3, with erythema most accurately detected.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
86

Updated Jul 31, 2026 · TRV-2026-0602

67Index score

AI problems · 772

577
LaborStableModerate evidence · 1 source

Computer science graduates in the UK saw a sharp drop in entry to professional coding jobs, from about 40% to 28%, as AI tools took over routine programming work.

Data compiled for the 2027 Guardian University Guide shows UK computer science graduates entering professional coding roles fell from about 40% to 28% last year, with overall graduate-level employment for the group down from over 60% to 50%. Economics graduates also saw reduced demand for economist and management consultant roles. The figures come from a Higher Education Statistics Agency survey of more than 350,000 students who finished in 2024.

Impact 30%
69
Evidence 25%
62
Scale 20%
35
Confidence 15%
62
Recency 10%
94

Updated Sep 13, 2026 · TRV-2026-1061

62Index score
578
Media & ArtsNewly addedModerate evidence · 1 source

An AI-generated explicit video created from Janhvi Kapoor's Devara: Part 1 footage was circulated online, which Kapoor described as deeply violating and comparable to sexual assault.

On 2026-10-04, reporting described Janhvi Kapoor publicly addressing a manipulated AI video circulating online that misrepresented her image using footage from her film Devara: Part 1 with Jr NTR.

Impact 30%
49
Evidence 25%
62
Scale 20%
60
Confidence 15%
62
Recency 10%
98

Updated Oct 5, 2026 · TRV-2026-1279

61Index score
579
Media & ArtsNewly addedModerate evidence · 1 source

AI tools were used to create a morphed fake version of the 'Chuttamalle' video, prompting concern about misuse of AI in the film industry.

On October 3, 2026, megastar Chiranjeevi publicly raised concern after a morphed version of the 'Chuttamalle' video circulated, which he attributed to AI tools being used to create fake videos. He called on the film fraternity to unite against this misuse.

Impact 30%
49
Evidence 25%
62
Scale 20%
60
Confidence 15%
62
Recency 10%
98

Updated Oct 4, 2026 · TRV-2026-1269

61Index score
580
EducationNewly addedModerate evidence · 1 source

UK academics working in AI, cybersecurity and steganography were paid via a Chinese state-linked front to produce research that directly improves Chinese intelligence espionage capability, exposing over 100 UK-linked researchers to potential offences under the National Security Act.

On 30 September 2026, The Guardian reported an MI5 security alert telling UK researchers to stop working with the China Academy of General Technology, which MI5 called a 'significant threat' accused of funnelling MSS money to UK academics for AI, cybersecurity and steganography research that improves Chinese espionage capability.

Impact 30%
49
Evidence 25%
62
Scale 20%
60
Confidence 15%
62
Recency 10%
98

Updated Oct 1, 2026 · TRV-2026-1228

61Index score

Recomputed live from the record · Oct 13, 2026, 10:39 PM