+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
TruaceTracing the truth around AIMonday, September 14, 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. 252 records · page 4 of 9.

252 results
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94
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
96
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
105
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
108
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
109
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
111
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
112
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
113
Reader signal

How should this claim be treated?