TruaceTracing the truth around AIThursday, August 27, 2026
The Index

What the evidence says.What the public feels.

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

1,168 results
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AI gains · 649

68
GainHealth· Stable· Evidence: Moderate (1 source)

AI-enhanced insertable cardiac monitors reduced nonactionable alerts from 5,078 to 2,110 per year for a 600-patient clinic, saving 559 staffing hours and $29,470 annually compared to non-AI monitors.

By March 18, 2025, researchers reported a cross-sectional analysis of 19,320 patients monitored with insertable cardiac monitors across 140 U.S. device clinics from July 2022 to April 2024. Clinics using AI-enhanced ICMs averaged 2,110 nonactionable alerts per year per 600 patients compared with 5,078 for non-AI-enhanced devices, with associated reductions in technician review time and projected costs.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0299

68
GainHealth· Stable· Evidence: Moderate (1 source)

AI models applied to neurosurgical data achieved Dice scores of 0.82-0.84 for tumor segmentation and AUC values of 0.80-0.90 for molecular prediction and outcome forecasting, supporting lesion detection, surgical navigation, and prognostication.

By its publication date of January 1, 2026, this narrative review in Frontiers in Neurology traced the shift from traditional severity scoring to AI-driven predictive analytics in neurosurgery, summarizing how models use EHRs, labs, imaging, videos, and notes across diagnosis, planning, intraoperative decision-making, and postoperative management.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0294

68
GainHealth· Stable· Evidence: Moderate (1 source)

In real-world use among 254 young children with developmental concern, the AI-based Canvas Dx provided accurate autism predictions with high negative and positive predictive values and enabled diagnosis at a median age of 37.2 months.

Published August 12, 2025, this peer-reviewed analysis examined real-world performance of Canvas Dx, an FDA-authorized AI-based tool to support diagnosis or rule-out of autism in children 18-72 months. In 254 children evaluated after market authorization, the tool produced determinate positive or negative outputs in 63% of cases and showed high predictive values when compared to clinical reference diagnoses.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0293

68
GainHealth· Stable· Evidence: Moderate (1 source)

Physics-informed models improve robustness and generalizability over purely data-driven approaches when applied to scaffold-based bone regeneration design and fabrication control.

By July 10 2026, a peer-reviewed review in Tissue Engineering Part B: Reviews evaluated experimentally validated AI uses in scaffold-based bone regeneration, from materials design to fabrication control and biological assessment. It reported that physics-informed models tend to be more robust and generalizable than purely data-driven models, while transfer learning is hampered by variability in cellular responses and fabrication conditions.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0288

AI problems · 519

56
ProblemLifestyle· Stable· Evidence: Moderate (1 source)

AI-powered toys may share children's conversations with parents or third parties, creating safeguarding and privacy risks, and may change how young children interpret social cues and socialise with others.

On 18 September 2025 a letter from researchers at the University of Cambridge's Play in Education, Development and Learning centre described an ongoing study of AI-powered toys and listed questions about how such toys respond to children, handle conversations, and model social interaction.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0305

56
ProblemLabor· Stable· Evidence: Moderate (1 source)

Increasing deployment of AI in the UK economy is expected to eliminate some existing jobs, with concern focused on graduate entry roles in law and finance.

In a January 2026 speech in London, UK technology secretary Liz Kendall warned that wider AI deployment will lead to job losses, particularly for graduate entry roles in law and finance, while also arguing new jobs will appear. She outlined a government push to become the fastest AI-adopting G7 country, including four AI growth zones and a plan to give basic AI skills to up to 10 million workers by 2030.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0304

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

AI companions and profit-driven platforms create new vulnerability where users invest tender emotional parts of themselves in systems that could collapse and erase the companion, while superintelligent systems could become self-sustaining and dispense with humans.

By 15 April 2026, The Guardian reviewed Channel 4's two-part documentary Grayson Perry Has Seen the Future, in which Perry interviews users and builders of AI systems including an AI companion marriage, mind-reading startups, and safety experts.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0302

56
ProblemOther· Stable· Evidence: Moderate (1 source)

At 1,000 real-time targets per day flagged by the AI-assisted Tzayad system, soldiers could not thoroughly assess collateral damage and civilian risk, coinciding with 71,269 Palestinians killed in Gaza.

On 6 July 2026 The Guardian reported that Elbit Systems said Israel's Tzayad digital army programme detected 850,000 real-time intel targets between 7 October 2023 and end of 2025 across Gaza, Lebanon and other theatres, averaging about 1,000 a day. The presentation at a RUSI conference in London said the system cut external fire support from 40 to 50 minutes to one to seven minutes and enabled over 46,000 joint strikes on real-time intel, with a new contract to add AI for tactical decision-making.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%93

Updated Jul 20, 2026 · TRV-2026-0300

Recomputed live from the record · Aug 27, 2026, 12:26 PM