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.

1,169 results
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AI gains · 649

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

Large language models, clustering and sentiment analysis demonstrated in a precision oncology project and integrated in ImpleMATE platform enable continuous knowledge extraction and decision support to improve implementation of evidence-based interventions in routine health care.

The paper reviews persistent bottlenecks in moving evidence-based interventions into routine care and describes how data science and AI methods can help extract and synthesize implementation materials, analyze context, and support stakeholder engagement and adaptation, illustrated with a live precision oncology project and the ImpleMATE platform.

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

Updated Jul 23, 2026 · TRV-2026-0517

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

Young people with mental health difficulties developed platform literacy, including data and algorithm literacies, to critically examine platforms and take anticipatory and remedial action against risky features.

By June 2025, a qualitative study reported that young people with mental health difficulties experienced extreme online risks amplified by platforms promoting trending and viral content and by personalised recommendations that could trigger individual vulnerabilities, prompting hypervigilant coping efforts.

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

Updated Jul 22, 2026 · TRV-2026-0512

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

A supervised fine-tuned Baichuan2-7B-Chat model trained on 45,338 prostate cancer lifestyle QA samples outperformed its base model and performed comparably or better than GPT-3.5-Turbo across diet, activity, weight, adherence, and psychological support scenarios in dual-round blinded LLM referee evaluation.

Researchers developed PCaPLMM_SFT, a Baichuan2-7B-Chat model fine-tuned for prostate cancer lifestyle management, using a knowledge base built from 2211 PubMed articles and over 150,000 knowledge slices covering diet, physical activity, weight, medication adherence, and psychological support. They generated 42,330 single-turn and 3008 multiturn QA pairs and evaluated the model against GPT-3.5-Turbo and the base model.

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

Updated Jul 22, 2026 · TRV-2026-0509

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

Final-year medical students using an AI virtual patient with nine emergency medicine scenarios showed significant improvement in overall OSCE outcomes in the small MEET cohort and reported higher confidence in history-taking, differential diagnosis, and management planning.

In a 2026 proof-of-concept pilot, final-year medical students used an AI virtual patient offering nine emergency medicine scenarios with AI-driven dialogue, speech recognition, and avatar interaction plus immediate feedback. Two cohorts completed pre- and postintervention OSCEs scored on communication, history and examination, management, and overall outcome, with surveys and focus groups for qualitative insight.

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

Updated Jul 22, 2026 · TRV-2026-0507

AI problems · 520

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

Longitudinal AI use among cancer specialists led to intuition rust and skill atrophy, gradually dulling expert judgment.

What happened: By April 2026, researchers completed a year-long study of AI use among cancer specialists and found that initial operational gains hid intuition rust, described as the gradual dulling of expert judgment, which later evolved into chronic harms such as skill atrophy and identity commoditization.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0147

68
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

An AI-generated imitation of Drake and The Weeknd's voices in a viral track convinced millions of listeners it was authentic, requiring a label disclosure.

By June 2026, a law review article described how generative AI had been used to create a viral 2023 track, 'Heart on My Sleeve,' that imitated Drake and The Weeknd. The label confirmed the vocals were not the artists but an AI imitation trained on their recordings, after millions had been convinced it was real.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0146

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

In India, creators and users face unresolved copyright risk because the 1957 Act does not define ownership of AI-generated works or the legality of training on copyrighted data.

By June 2026, generative models such as GPT-4, Stable Diffusion and Mid journey were described as capable of producing entire works independently, while India's Copyright Act of 1957 remained drafted for human creators and relatively silent on such output.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0144

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

Current AI studies for sport-related concussion are frequently constrained by small or imbalanced samples, inconsistent definitions, limited external validation, and poor model interpretability.

By December 2025, a scoping review of six databases identified 55 studies of artificial intelligence across the concussion care pathway, from detection and diagnosis using EEG, speech and motor data to monitoring with wearables, mouthguards and video, plus prognosis and prevention modeling.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%91

Updated Jul 13, 2026 · TRV-2026-0141

Recomputed live from the record · Aug 28, 2026, 3:25 AM