− HEALTH — A reasoning model hit 88.6% diagnostic accuracy on clinicopathological cases. In the same window, a five-hosp…+ HEALTH — A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases.+ EDUCATION — Small-scale district pilots report gains for students who previously had no outside tutoring access.− POLICY — Post-market monitoring standards for clinical AI tools remain unsettled as clearances accelerate.− LABOR — The labor market's two truths: large projected role creation and concentrated, measurable displacement.− LABOR — Employment for coders aged 22–25 has fallen roughly 20% against its late-2022 peak.+ LABOR — New AI-adjacent skills already carry wage premiums in 1 of every 10 job postings in advanced economies.− LABOR — Current estimates vary 5x depending on methodology.
Sunday, July 12, 2026
TruvaceThe trace, not the pitch
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The Index

What the evidence says. What the public feels.

The Sourced Indexranks AI’s measured gains and problems on verified evidence. The Public Pulse tracks what readers report, register, and debate. The Impact Ranking tracks which AI companies carry the largest visible public footprint.

AI gains · 14

80
GainHealth· Stable· Evidence: High (1 source)

Radiology and pathology diagnostic time cut ~90%

In image-heavy specialties with standardized, digitized data, AI has reduced diagnostic time by approximately 90% or more while improving accuracy.

Impact 30%99
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%65

Updated Jan 12, 2026 · TRV-2026-0003

74
GainHealth· Newly added· Evidence: High (1 source)

Clinical Impact of Artificial Intelligence-Based Triage Systems in Emergency Departments: A Systematic Review

Emergency departments (EDs) worldwide face increasing pressure to optimize triage processes amidst rising patient volumes and resource constraints. Artificial intelligence (AI) has emerged as a potential solution to enhance triage accuracy and efficiency, yet its real-world clinical impact remains inadequately characterized. We conducted a systematic review following Preferred Reporting Items f...

Impact 30%49
Evidence 25%95
Scale 20%85
Confidence 15%59
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0018

73
GainLabor· Stable· Evidence: High (2 sources)

Jobs created vs. jobs displaced

170 million new roles projected globally through 2030.

Impact 30%49
Evidence 25%90
Scale 20%85
Confidence 15%74
Recency 10%79

Updated Mar 27, 2026 · TRV-2026-0004

70
GainHealth· Stable· Evidence: Moderate (1 source)

Near-physician diagnostic accuracy on complex cases

A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases, and outperformed two expert physicians on select emergency triage scenarios.

Impact 30%99
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%86

Updated May 3, 2026 · TRV-2026-0002

66
GainEducation· Rising· Evidence: High (1 source)

Early pilots show narrowing tutoring-access gaps

Students in pilot districts who previously had no access to outside tutoring show measurable gains with AI tutoring support.

Impact 30%52
Evidence 25%85
Scale 20%60
Confidence 15%62
Recency 10%82

Updated Apr 12, 2026 · TRV-2026-0008

64
GainHealth· Newly added· Evidence: High (1 source)

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Background Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence–powered medical history-taking training and evaluation system (AMTES) and established its technical feasibility as an extracurricular resource. Evidence on whether such tools improve learning outcomes when voluntarily embedded in routine curricul...

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%59
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0017

64
GainOther· Newly added· Evidence: High (1 source)

966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study

Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%59
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0016

64
GainOther· Newly added· Evidence: High (1 source)

From the old to the new generation of a product : unlearn, improve, and prosper

Purpose Drawing on the theories of planned obsolescence and dynamic capabilities, this study aims to jointly address marketing and organizational aspects of the transition from the existing to the new generation of a product (i.e. a product rollover). It conceptualizes the relevance of organizational unlearning in rollovers and relates it to the improvement in the marketing mix of multigenerati...

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%59
Recency 10%100

Updated Jul 10, 2026 · TRV-2026-0011

64
GainEducation· Newly added· Evidence: High (1 source)

"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE"

This study investigates the effectiveness of Artificial Intelligence (AI)-enhanced Learning Management Systems (LMS) in improving academic achievement, engagement, and critical thinking among primary school students. Despite growing adoption of AI tools in educational settings, findings reveal limited measurable benefits at the primary level. A mixed-method, cross-sectional design was employed ...

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%59
Recency 10%100

Updated Jul 10, 2026 · TRV-2026-0010

AI problems · 21

76
ProblemHealth· Rising· Evidence: High (1 source)

Diagnostic bias across underrepresented patient groups

AI-driven differential-diagnosis tools show omission and commission error patterns that haven't been evenly studied across race, age, or income groups — meaning the tool's blind spots may track existing healthcare gaps rather than closing them.

Impact 30%84
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%72

Updated Feb 18, 2026 · TRV-2026-0009

69
ProblemLabor· Stable· Evidence: High (2 sources)

Jobs created vs. jobs displaced

Developer employment ages 22–25 down ~20% versus late-2022.

Impact 30%69
Evidence 25%90
Scale 20%35
Confidence 15%74
Recency 10%79

Updated Mar 27, 2026 · TRV-2026-0004

68
ProblemLabor· Rising· Evidence: Moderate (1 source)

Young developers are the clearest casualties so far

Employment for developers aged 22–25 is down roughly 20% from its late-2022 peak, with no clear reabsorption path identified yet for that specific cohort.

Impact 30%96
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%78

Updated Mar 22, 2026 · TRV-2026-0007

64
ProblemOther· Newly added· Evidence: High (1 source)

Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications

Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms. This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI. We ...

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%59
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0015

52
ProblemLifestyle· Newly added· Evidence: Moderate (1 source)

‘I don’t worry about a robot takeover’: AI expert Michael Wooldridge on big tech’s real dangers (and occasional blessings)

Almost 50 years after he first got his hands on a computer, the Oxford professor still believes in the power of technology. Can his beloved game theory explain why Silicon Valley’s entrepreneurs consistently misuse it?

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%34
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0034

52
ProblemOther· Newly added· Evidence: Moderate (1 source)

The EU that the UK left no longer exists | Mujtaba Rahman

Andy Burnham’s rise has stoked talk of the terms for a future British return – but this is the wrong question, says political risk analyst Mujtaba Rahman

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%34
Recency 10%100

Updated Jul 11, 2026 · TRV-2026-0023

Recomputed live from the record · Jul 12, 2026, 10:52 AM