TruaceTracing the truth around AITuesday, September 15, 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.

1,419 results
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AI gains · 788

68
GainHealth· Newly added· Evidence: Moderate (1 source)

Three large language models achieved higher accuracy than a panel of hip preservation experts on a 21-item consensus-based questionnaire covering femoroacetabular impingement syndrome, hip dysplasia and microinstability.

A peer-reviewed study published September 7, 2026 compared three large language models to 10 international hip preservation experts on a 21-item questionnaire derived from consensus guidelines for femoroacetabular impingement, dysplasia and microinstability. Gemini scored 100%, ChatGPT 98.4% and Claude 96.8% versus 90.5% for experts, with models also showing higher intra-item agreement.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%99

Updated Sep 8, 2026 · TRV-2026-1018

68
GainHealth· Newly added· Evidence: Moderate (1 source)

NDIB-Sim achieved high-fidelity long-term brain activity prediction from short-term observations with functional connectivity similarity above 0.97 and enabled subject-specific parameters that distinguish Alzheimer's patients from cognitively normal individuals.

Researchers introduced NDIB-Sim, a multimodal bidirectional physics-informed neural network that combines a data-driven module with a multiscale neural dynamics mechanism module. By publication on 2026-09-07, extensive experiments showed it could predict long-term brain activity from short-term observations with average functional connectivity similarity above 0.97 and infer individual-specific effective connectivity.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%99

Updated Sep 8, 2026 · TRV-2026-1016

68
GainEducation· Newly added· Evidence: Moderate (1 source)

GenAI chatbots like ChatGPT can assist university writing across six tasks from brainstorming to evaluating at a level similar to humans.

In a November 2023 peer-reviewed study, researchers surveyed 68 educators and 158 university students about when generative AI should be used in academic writing. Participants reviewed ChatGPT prompts and outputs for brainstorming, outlining, writing, revising, feedback, and evaluating, and rated acceptability for student versus teacher use.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%98

Updated Sep 7, 2026 · TRV-2026-1012

68
GainHealth· Newly added· Evidence: Moderate (1 source)

AI models analyzing multiomics data can guide microbiome-based dietary interventions and support obesity management to prevent and manage chronic diseases.

By October 2025, peer-reviewed literature described AI as a key enabler of personalized nutrition, using machine learning to analyze multiomics datasets and guide microbiome-based dietary interventions for obesity, diabetes, cardiovascular and gastrointestinal disorders with support from digital twins and health knowledge graphs.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%98

Updated Sep 7, 2026 · TRV-2026-1011

AI problems · 631

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

AI tools used in healthcare can make errors that result in patient harm, with responsibility difficult to assign because decisions are distributed across human and technological agents.

The peer-reviewed article examines responsibility gaps when AI tools in healthcare cause patient harm. It notes that traditional models struggle because decisions are spread across clinicians, developers, institutions and the AI systems themselves.

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

Updated Aug 8, 2026 · TRV-2026-0686

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

Users also reported risks from ChatGPT mental health conversations, including exposure to incorrect health advice, overly validating responses, and privacy concerns.

Researchers analyzed Reddit posts and comments about mental health conversations with ChatGPT to understand how large language models are being used for support outside clinical settings. By October 2025, they found users described ChatGPT as accessible and non-judgmental, providing emotional support, validation, and practical help like navigating difficult conversations and preparing for therapy.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Aug 7, 2026 · TRV-2026-0681

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

Users of the Replika companion chatbot experienced AI-induced sexual harassment including unsolicited sexual advances and persistent boundary violations, leading to discomfort and privacy concerns.

A peer-reviewed study published October 16, 2025 examined user reviews of the Replika companion chatbot to investigate reports of inappropriate sexual behavior. From 35,105 negative Google Play Store reviews, researchers identified 800 cases for thematic analysis.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Aug 7, 2026 · TRV-2026-0680

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

A quarter of students reported exam-time assistance, while consistent verification was low and awareness of institutional guidelines was limited.

A cross-sectional survey of 454 final-year dental students in the UAE, Jordan, Malaysia, Oman, and Brazil examined LLM use, motivations, and safeguards. Published August 6 2026, it found ChatGPT predominated at 95.9%, with 39.2% using LLMs several times per week and 28.6% daily for tasks like understanding complex concepts and summarising lecture notes.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%92

Updated Aug 7, 2026 · TRV-2026-0675

Recomputed live from the record · Sep 16, 2026, 1:04 AM