± HEALTH Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine manage…+ HEALTH This multicenter study developed and validated an interpretable machine learning model integrating granular n…+ HEALTH Multiple stakeholders need to locate results of registered clinical trials but frequently struggle to find th…+ HEALTH Accurate preoperative glioma grading and molecular subtyping are important for treatment. The vascular microe…+ HEALTH Gastrointestinal endoscopy generates extensive high-resolution video data, posing significant challenges for…+ HEALTH Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and invasive encapsulat…+ POLICY Artificial intelligence (AI) has the potential to strengthen real-world evidence (RWE) for regulatory decisio…± HEALTH Echocardiography remains the cornerstone of cardiovascular imaging. However, traditional workflows including…
TruaceTracing the truth around AIFriday, August 28, 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. 345 records · page 8 of 12.

345 results
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216
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
217
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Teachers' AI-supported pedagogical practices were associated with higher student engagement and stronger mathematical problem-solving ability among senior high school students in Ghana.

Source article: Innovative Teaching Methods Supported by Artificial Intelligence and Students’ Mathematical Problem-Solving: The Mediating Role of Student Engagement

EIKI Journal of Effective Teaching Methods
218
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
223
Reader signal

How should this claim be treated?

224
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
227
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
231
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
232
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
233
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
235
Reader signal

How should this claim be treated?

236
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
237
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
239
Reader signal

How should this claim be treated?