+ 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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G Space

The Good surrounding AI

Documented gains, ranked by source quality, corroboration, and recency. Reader feedback is shown separately and never changes the evidence rank. 413 records · page 10 of 14.

413 results
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276
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

Panel analysis of 67 countries found AI development significantly reduces ecological footprints and carbon emissions while promoting energy transitions, with the largest effect on energy transitions.

Source article: Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)

Humanities and Social Sciences Communications
277
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Students in civil and environmental engineering courses reported greater accessibility and comfort using the Educational AI Hub, with nearly half finding it easier than asking instructors, and found it helpful for homework and concept understanding.

Source article: Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy

Scientific Reports
281
Reader signal

How should this claim be treated?

282
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI-powered systems improved healthcare delivery efficiency and accuracy through personalized medicine, early disease detection, and predictive analytics, while telemedicine expanded access in underserved areas.

Source article: Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review

Health Care Science
285
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Sustainable AI-Metaverse adoption in universities substantially fosters digital pedagogical innovation and enhanced perceived student learning outcomes

Source article: Sustainable adoption of artificial intelligence and the Metaverse in higher education: an environmental, social, and governance–based analysis of pedagogical innovation and perceived student learning outcomes

Frontiers in Artificial Intelligence
289
Reader signal

How should this claim be treated?

Model-prefilled gainPeer-reviewedHealth

AI-enabled hierarchical medical system increased hypertension control target achievement from 68% to 82% and achieved health data accuracy exceeding 95% for chronic disease patients.

Source article: Implementation of an AI-driven hierarchical medical system for chronic disease management: ethical framework, resource optimization, and effectiveness evaluation

International Journal of Medical Informatics
290
Reader signal

How should this claim be treated?

Model-prefilled gainPeer-reviewedHealth

Generative AI that generates computer-based summaries of patient details improved efficiency, reduced cognitive burden, and standardized information transfer during nurse-to-nurse handoffs from the emergency department to inpatient units.

Source article: A Nurse Hackathon: Improving Effective and Timely Nurse Handoffs Through Use of Generative Artificial Intelligence

CIN: Computers, Informatics, Nursing
291
Reader signal

How should this claim be treated?

Model-prefilled gainPeer-reviewedHealth

A gradient boosting classifier trained on eight routine treatment-time features improved prediction of local control after Gamma Knife radiosurgery to post-resection cavities from brain metastases, achieving ROC-AUC 0.735 compared to chance-level baseline.

Source article: Machine learning prediction of local control after Gamma Knife radiosurgery to post-resection cavities from brain metastases: a proof-of-concept study

Journal of Neuro-Oncology
293
Reader signal

How should this claim be treated?

294
Reader signal

How should this claim be treated?

Model-prefilled gainPeer-reviewedHealth

In real-world use among 254 young children with developmental concern, the AI-based Canvas Dx provided accurate autism predictions with high negative and positive predictive values and enabled diagnosis at a median age of 37.2 months.

Source article: An analysis of the real world performance of an artificial intelligence based autism diagnostic

Scientific Reports
295
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A transformer-based deep learning framework using clinically indicated non-contrast chest CT stratified risk of refractory Mycoplasma pneumoniae pneumonia in children with AUCs around 0.89-0.90 on internal and external test cohorts.

Source article: A CT-based deep learning model for the automated risk stratification of refractory Mycoplasma pneumoniae pneumonia in children

BMC Medical Imaging
297
Reader signal

How should this claim be treated?