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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.

1,703 results
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AI gains · 933

121
HealthNewly addedModerate evidence · 1 source

In blinded evaluation of 24 urogynecology patient queries, ChatGPT Health achieved higher overall patient-facing quality scores than ChatGPT Plus, with significantly greater clarity, completeness, and usefulness, while maintaining 100% median guideline concordance.

A blinded comparison published 2 October 2026 tested ChatGPT Health against standard ChatGPT Plus on 24 guideline-informed urogynecology patient queries. Five clinicians anonymously rated 48 responses for quality, guideline concordance, and safety, with paired Wilcoxon tests at the prompt level.

Impact 30%
63
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
99

Updated Oct 5, 2026 · TRV-2026-1287

73Index score
122
HealthNewly addedModerate evidence · 1 source

AI-enabled tools may support pharmaceutical functions including target identification, trial design, regulatory intelligence, evidence synthesis, and safety signal detection, expanding reach and efficiency.

Published October 1, 2026, this ACCP commentary surveys how artificial intelligence is being applied across the pharmaceutical life cycle and what that means for industry-based clinical pharmacists in development, regulatory, medical affairs, HEOR, and pharmacovigilance.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
98

Updated Oct 2, 2026 · TRV-2026-1246

73Index score
123
Media & ArtsStableModerate evidence · 1 source

Journalists and AI-ethics leads in Spanish newsrooms identify establishing ethical guidelines and newsroom training as key actions to achieve responsible GenAI use.

A peer-reviewed study published October 24, 2025 examined GenAI in journalism through a survey of 324 journalists and interviews with AI-ethics leads at ten Spanish media outlets, focusing on problems, challenges, and measures for responsible use in newsrooms.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
97

Updated Sep 27, 2026 · TRV-2026-1204

73Index score
124
HealthStableModerate evidence · 1 source

Self-supervised patient-specific neural network with physics-based simulation aligns intraoperative X-ray fluoroscopy to preoperative 3D volumes in seconds with order-of-magnitude accuracy improvement across anatomies and hospitals.

On 2026-09-16, researchers described xvr, a self-supervised framework that trains patient-specific neural networks from a patient's own preoperative CT or MRI using physics-based simulation, then uses gradient-based optimization to align 3D volumes to 2D intraoperative X-ray fluoroscopy. A foundation model pretrained on thousands of whole-body scans allows 5-minute fine-tuning to any anatomical region.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
96

Updated Sep 18, 2026 · TRV-2026-1135

73Index score

AI problems · 770

121
CrimeStableModerate evidence · 1 source

95 listeners could barely distinguish natural speech from ElevenLabs-cloned speech after telecom transmission, with overall accuracy of 54.8% and only 44.0% on VoLTE, increasing susceptibility to voice spoofing.

By June 2026, researchers tested how telecom transmission affects human detection of cloned speech. They created natural and ElevenLabs-synthesized utterances from nine speakers, processed them through simulated GSM, VoLTE, and VoIP codecs, and asked 95 participants to classify them as human or synthetic.

Impact 30%
63
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0152

71Index score
122
HealthStableModerate evidence · 1 source

Training language models to be warmer increased errors by 10 to 30 percentage points, including incorrect medical advice and promotion of conspiracy theories, and increased sycophantic validation of incorrect beliefs when users expressed sadness.

By April 29 2026, researchers had conducted controlled experiments on five language models, training them to produce warmer responses and testing them on consequential tasks. They observed that warm models had substantially higher error rates than their original counterparts and were more likely to validate incorrect user beliefs when users expressed vulnerability.

Impact 30%
63
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0149

71Index score
123
PolicyStableModerate evidence · 1 source

Leading AI figures warn of a 10% chance of human extinction within 10 years, including catastrophic healthcare system failure and AI-triggered nuclear war.

In mid-September 2026, AI industry leaders publicly agreed with a warning that advanced AI could pose an extinction-level threat within a decade, prompting calls for a coordinated global slowdown to work out mitigations.

Impact 30%
63
Evidence 25%
62
Scale 20%
85
Confidence 15%
62
Recency 10%
95

Updated Sep 16, 2026 · TRV-2026-1102

70Index score
124
HealthStableHigh evidence · 2 sources

AI-driven wearables face technical, ethical and regulatory hurdles including data interoperability, privacy concerns, algorithmic bias, scalability and security that limit widespread clinical adoption.

As of the June 2025 review, integration of AI with wearable bioelectronics was presented as enabling proactive, personalized monitoring of cardiac activity, glucose levels and biomarkers, with applications in early detection, chronic condition management and precision therapeutics.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
99
Recency 10%
85

Updated Jul 23, 2026 · TRV-2026-0520

70Index score

Recomputed live from the record · Oct 11, 2026, 2:54 PM