Truace
Subscribe
The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 929 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.

929 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.

1,699 results
Show filters and sorting

Download every matching row, not just this page:Export CSVExport JSON

AI gains · 929

33
HealthStableModerate evidence · 1 source

Robotic ultrasound systems improve reproducibility and global accessibility by decoupling the operator from the patient and using 5G telesonography to project diagnostic expertise.

This comprehensive review traces ultrasound from operator-dependent manual imaging to robotic ultrasound systems developed over the past two decades, including teleoperated telesonography over 5G and increasingly autonomous platforms using force control and path planning.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
91

Updated Aug 26, 2026 · TRV-2026-0898

78Index score
34
HealthStableModerate evidence · 1 source

Among 2453 tertiary-referred children with GDD, a Platt-calibrated L2 logistic regression integrating routine clinical, neurophysiological and genetic data stratified progression to ID with AUC 0.783 and near-ideal calibration, enabling high-PPV triage.

Researchers retrospectively analyzed 2453 children diagnosed with GDD between January 2014 and December 2023 at a provincial tertiary children's rehabilitation centre, followed to at least 60 months. Using 28 predictors across perinatal, developmental, neuroimaging, electrophysiological, genetic and comorbidity domains, they trained L2- and L1-regularized logistic regression, random forest, XGBoost and LightGBM, with Platt scaling for the L2 model, and evaluated on a held-out 30% test set.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
91

Updated Aug 25, 2026 · TRV-2026-0878

78Index score
35
HealthStableModerate evidence · 1 source

A model combining clinical and sociodemographic variables predicted overall survival in cervical squamous cell carcinoma with acceptable discrimination.

Researchers conducted a population-based retrospective analysis of 5392 patients with cervical squamous cell carcinoma in the SEER database from 2004 to 2015, using multivariable logistic regression and machine learning to evaluate sociodemographic and clinical predictors of overall survival. They found marital status, median household income, tumor grade, disease stage and tumor size were collectively related to prognosis, and built a model including age and race that achieved an AUC of 0.70.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
91

Updated Aug 24, 2026 · TRV-2026-0860

78Index score
36
EducationStableModerate evidence · 1 source

ChatGPT can support teaching and learning by enabling personalized interactive instruction and creating formative assessment prompts that give ongoing feedback.

Published December 7, 2023, this exploratory synthesis examines ChatGPT after its November 30, 2022 public release and rapid adoption, reviewing recent literature on how the tool is being used in education. It identifies potential benefits for personalized and interactive learning and for formative assessment, while also noting drawbacks.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
90

Updated Aug 19, 2026 · TRV-2026-0835

78Index score

AI problems · 770

33
ClimateStableModerate evidence · 1 source

The same gradient-boosted models showed poor agreement with observed MICs for ampicillin and piperacillin-tazobactam and struggled with beta-lactamase inhibitor combinations.

A One-Health study analyzed 30,554 E. coli whole-genome sequences from human, animal and environmental sources across 126 countries from 2000 to 2025, using AMRFinderPlus and MLST to map resistance genes and clones, and applied gradient-boosted machine learning to predict MICs from gene profiles and chromosomal features.

Impact 30%
49
Evidence 25%
95
Scale 20%
85
Confidence 15%
87
Recency 10%
86

Updated Jul 29, 2026 · TRV-2026-0584

77Index score
34
EducationStableModerate evidence · 1 source

University policy frameworks still lack comprehensive coverage of data privacy protections and equitable access to GAI tools.

Published December 19, 2024, this peer-reviewed study analyzed generative AI adoption policies and guidelines from 40 universities across six global regions through the lens of Diffusion of Innovations Theory. It examined how institutions frame compatibility, trialability, observability, communication channels, and roles and responsibilities.

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

Updated Jul 24, 2026 · TRV-2026-0549

77Index score
35
EducationStableModerate evidence · 1 source

Students expressed concerns that ChatGPT promotes cheating and plagiarism and is less reliable for classroom learning and less useful for developing critical thinking, interpersonal communication, and decision-making skills.

In early 2024, researchers surveyed 23,218 higher education students in 109 countries and territories about ChatGPT. Students reported using it mainly for brainstorming, summarizing texts, and finding research articles, finding it helpful for simplifying complex information but less reliable for providing information and supporting classroom learning.

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

Updated Jul 24, 2026 · TRV-2026-0541

77Index score
36
BusinessStableModerate evidence · 1 source

Deploying IoT-enabled smart sensors with AI for precision agriculture is limited by high initial investment costs, complexities in data management, requirements for technical expertise, data security and privacy concerns, and connectivity issues in remote agricultural areas.

A peer-reviewed review published May 14 2025 examined the integration of smart sensors and IoT in precision agriculture, detailing how soil and plant stress sensors provide real-time data that is analyzed via AI and ML on IoT platforms for remote monitoring and automated control.

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

Updated Jul 24, 2026 · TRV-2026-0527

77Index score

Recomputed live from the record · Oct 11, 2026, 3:25 AM