+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
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The Problems surrounding AI

Documented harms, ranked by source quality, corroboration, and recency. Reader feedback is shown separately and never changes the evidence rank. 201 records · page 3 of 7.

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66
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedHealth

When compared to historical multidisciplinary routine practice readings in 1000 testing cases, the AI system did not demonstrate confirmed non-inferiority and showed slightly lower specificity at matched sensitivity.

Source article: Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

The Lancet Oncology
68
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedPolicy

Organizations attempting to embed generative AI into strategic decision-making struggle to move beyond pilots due to hallucination risks, prompt-engineering deficiencies, data readiness gaps, and privacy or IP concerns.

Source article: From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens

Journal of Decision Systems
77
Reader signal

How should this claim be treated?

Model-prefilled problemPeer-reviewedHealth

Adaptive AI tools for cardiovascular care challenge conventional HTA frameworks designed for static interventions, resulting in indirect alignment with EU HTAR requirements and inconsistent engagement of cardiologists in evaluation.

Source article: Beyond the algorithm: health technology assessment frameworks for AI in cardiology under the European Union Health Technology Assessment Regulation: a systematic review

Annals of Translational Medicine
80
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedHealth

Current AI detection systems are not specifically trained for IBD-related lesions, limiting effectiveness for colorectal neoplasia detection in inflammatory bowel disease.

Source article: The VISION-AI Trial: protocol for a pragmatic randomized controlled non-inferiority trial comparing artificial intelligence-guided colonoscopy to pancolonic chromoendoscopy for neoplasia detection in adults with colorectal inflammatory bowel disease

BMC Gastroenterology
82
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedPolicy

The same survey found overreliance on labels, making participants more susceptible to false claims with human-made images and more hesitant to believe true claims illustrated with labeled AI-generated images.

Source article: "That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
84
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedLabor

AI-driven automation that substitutes for routine tasks reduces demand and wages for low-skilled workers, causing absolute welfare losses for workers below a critical ability threshold and widening income inequality.

Source article: Skill-biased technological change in the age of AI: a theoretical analysis of automation and inequality

Economics of Innovation and New Technology
85
Reader signal

How should this claim be treated?

Evidence-backed problemPeer-reviewedEducation

Generative AI now mediating core parts of learning risks crossing into manipulation and deception and accelerating drift from educational goods to metrics, reshaping development of critical thinking and creativity.

Source article: Manipulation and Deception in Generative AI-Mediated Education: Preserving Epistemic Agency, Critical Thinking, and Creativity

Postdigital Science and Education
86
Reader signal

How should this claim be treated?