± HEALTH Adequate self-harm surveillance is a key part of suicide prevention. Our previous research demonstrated that…± HEALTH Breast cancer remains the most commonly diagnosed malignancy among women globally, with disproportionately hi…+ HEALTH Background The prevalence of depression is higher among older adults with chronic diseases and cognitive impa…± HEALTH Purpose To compare the information quality, accuracy, and readability of patient-directed responses generated…± HEALTH Objective Comparative evaluations of machine learning (ML) and logistic regression (LR) for clinical predicti…± HEALTH Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which early diagnosis-p…+ HEALTH Background Accurate identification of ganglionated bowel is essential during laparoscopic pull-through for Hi…+ CLIMATE Accurate prediction of ash fusion temperatures (AFTs) is crucial for ensuring the operational efficiency and…
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. 406 records · page 1 of 14.

406 results
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01
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Preservice teachers reported high acceptance of ChatGPT as a tool that can enhance metacognitive self-regulated learning and help address teaching and learning challenges.

Source article: Extended TAM based acceptance of AI-Powered ChatGPT for supporting metacognitive self-regulated learning in education: A mixed-methods study

Heliyon · International Journal of Educational Technology in Higher Education
02
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

Cogent Education · Smart Learning Environments
09
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Combining machine learning with multiscale modeling creates robust predictive models that integrate underlying physics to manage ill-posed problems and can provide insights into disease mechanisms and treatment strategies.

Source article: Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

npj Digital Medicine · Informatics
11
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Chinese EFL students who received robot-assisted language instruction showed significantly higher classroom engagement and willingness to attend classes after a four-month intervention compared to controls.

Source article: The impact of robot-assisted language learning (RALL) on EFL students’ classroom engagement and willingness to attend classes (WTAC): A technology acceptance model (TAM) perspective

Language Teaching Research · Education and Information Technologies
12
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLabor

Employees who use approach-oriented AI job crafting to expand job boundaries and enhance capabilities report higher career satisfaction and performance through increased work meaningfulness.

Source article: Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability

Frontiers in Psychology · PLOS One
13
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

AI readiness was associated with improved national sustainability performance across G20 economies from 2015-2023, with the strongest effect among the three technologies studied.

Source article: Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies

Research Journal of Human and Social Aspects · Journal of Global Social Transformation
14
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewed ×2Science

AI-powered voice assistants were found to enhance independence and daily functioning and offer emotional companionship for socially isolated older adults

Source article: AI-powered voice assistants for older adults: a literature review of insights, research practices, and future directions

Aston Publications Explorer (Aston University) · Technological Forecasting and Social Change
15
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

University students reported that AI tools helped them complete problem-solving, geometry tasks and more complex mathematical activities and improve learning strategies when used appropriately.

Source article: The use of artificial intelligence in mathematics education: perceptions among young university students

Humanities and Social Sciences Communications · Cognitive Science
16
Reader signal

How should this claim be treated?

18
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedPolicy

Breakthroughs in algorithmic machine learning and autonomous decision-making are engendering new opportunities for continued innovation and augmentation of human tasks.

Source article: Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

International Journal of Information Management · Technology in Society
19
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

ChatMOF enables researchers to retrieve, predict, and generate metal-organic frameworks from natural language queries with high accuracy using GPT-4.

Source article: ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models

Advanced Functional Materials · Journal of the American Chemical Society
26
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

XGBoost models trained on 5798 participants identified depression risk among older adults with chronic diseases across cognitive impairment levels with accuracy up to 0.767 and good calibration.

Source article: Machine learning identifies depression risk in older adults with chronic diseases: Clarifying shared risk factors stratified by cognitive impairment status

Geriatric Nursing
27
Reader signal

How should this claim be treated?

28
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

Physics-informed categorical chain differential model improved coupled prediction of four ash fusion temperatures, reducing deformation temperature error and eliminating physically impossible temperature inversions to support boiler safety and slagging-risk management.

Source article: Physics-informed machine learning for universal ash fusion temperatures prediction: A novel categorical chain differential framework

Bioresource Technology
30
Reader signal

How should this claim be treated?