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 7 of 12.

181

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Clinical nurses perceived that AI applied in nursing practice could reduce workload and improve efficiency and patient care.

Source article: Artificial intelligence in nursing practice: a qualitative study of nurses’ perspectives on opportunities, challenges, and ethical implications

BMC Nursing

182

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Use of an ambient AI scribe for 30 days was associated with reduced self-reported burnout and lower note-related cognitive load and after-hours documentation time among ambulatory clinicians.

Source article: Use of Ambient AI Scribes to Reduce Administrative Burden and Professional Burnout

JAMA Network Open

183

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Integrating multi-omics with AI-enabled imaging and digital tools improves risk prediction and informs clinical decision-making across interconnected cardiovascular conditions.

Source article: An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology

Diseases

184

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLabor

Frontier models are approaching industry experts in deliverable quality on real-world economically valuable tasks and can perform them cheaper and faster than unaided experts when paired with human oversight.

Source article: GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

SuperIntelligence - Robotics - Safety & Alignment

185

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLabor

Integrating County Health Rankings and social metrics with QCEW data in a regularized XGBoost framework improved out-of-sample prediction of state-level employment density.

Source article: The Health-Wealth Gradient in Labor Markets: Integrating Health, Insurance, and Social Metrics to Predict Employment Density

Computation

186

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

IoT-enabled real-time data collection combined with machine learning analysis enables accurate predictions of water quality to support safeguarding decisions and preventive measures against contamination.

Source article: Advances in machine learning and IoT for water quality monitoring: A comprehensive review

Heliyon

187

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

LLM-based autonomous agents leveraging vast Web knowledge show potential for human-level intelligence and enable applications across social science, natural science, and engineering.

Source article: A survey on large language model based autonomous agents

Frontiers of Computer Science

188

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Generative AI is projected to enhance clinical decision-making and democratize expertise through automated diagnostic support that could make care more efficient, equitable, and effective.

Source article: Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

Implementation Science

189

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedCrime

LLMs coupled with scalable Big Data pipelines improved detection accuracy and reduced response latency for threat detection and incident response compared with traditional approaches.

Source article: LLMs for Cybersecurity in the Big Data Era: A Comprehensive Review of Applications, Challenges, and Future Directions

Information

190

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedCrime

Fine-tuned BiLSTM with transfer learning achieved lower prediction error and faster execution for weekly and monthly crime trends, evaluated on Chicago, New York and Lahore datasets, to support law enforcement prevention and control.

Source article: Leveraging transfer learning with deep learning for crime prediction

PLOS ONE

191

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

AI adaptive systems create customized learning paths at each student's pace and level, improving engagement and academic performance while automating grading and feedback.

Source article: REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES

International Journal of Applied Research in Social Sciences

192

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

University students perceived that AI and social media use improved academic performance and mental well-being, with smart learning amplifying those benefits.

Source article: Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

Heliyon

193

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedMedia & Arts

AI systems using RNNs, Transformers and GANs can compose coherent melodies and full pieces, increasing efficiency and diversity of music creation.

Source article: Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges

Advances in Engineering Technology Research

194

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedBusiness

Manufacturing SMEs in Sweden structure, bundle, and leverage AI resources to transform key business and production operations and create competitive advantage.

Source article: Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach

International Journal of Information Management

195

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

State-of-the-art AI techniques are advancing quantum computing development across the hardware and software stack from device design to applications, with QC scaling challenges resting on AI developments.

Source article: Artificial intelligence for quantum computing

Nature Communications

196

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Machine learning accelerates solid-state electrolyte development by efficiently predicting ionic conductivity, elastic moduli, and thermodynamic stability to enable rapid next-generation design.

Source article: Applications and Advances of Machine Learning in the Development of Solid-State Electrolytes for Lithium-Ion Batteries

ACS Omega

197

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedSports

Multimodal motion capture that integrates artificial intelligence harmonizes data from various sources and provides a robust method for complex sports scenarios, enabling use from single-person technique analysis to multi-person tactical analysis.

Source article: Motion Capture Technology in Sports Scenarios: A Survey

Sensors

198

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

AI-driven enzyme engineering enables rapid, precise design of synthetic synzymes that catalyze non-natural reactions for use in pharmaceuticals, biofuels, and environmental remediation.

Source article: AI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications

Molecules

199

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedBusiness

Generative AI can promote Industry 5.0 sustainability objectives in manufacturing through ten functions that provide data-driven production insights and enhance operational resilience.

Source article: Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals

Journal of Manufacturing Technology Management

200

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AIPatient simulated patient system using six LLM agents and a knowledge graph built from MIMIC-III achieved 94.15% EHR-based QA accuracy and accessible readability, with medical students rating it high fidelity and matching or exceeding human-simulated patients for history-taking.

Source article: Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Communications Medicine

201

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

ChatGPT use was associated with meaningful improvement in academic writing for university students in the UAE, especially for those using English as a second language.

Source article: Understanding AI in higher education: Gendered and intersectional students’ experience with ChatGPT use

European Journal of STEM Education

202

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

In EFL education, higher digital literacy and trust in AI increased perceived ease of use and usefulness, strengthened attitudes and intentions to continue using AI, and supported creative language learning.

Source article: Trust and attitude towards AI as pathways to creativity: a TAM Model study of EFL students’ digital literacy and AI acceptance

Humanities and Social Sciences Communications

203

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Self-optimizing attention-coupled neural network potential automates crystal structure prediction and iteratively refines itself, enabling exploration of nearly 10 million configurations with ab initio accuracy and substantial speedup over first-principles calculations.

Source article: Self-optimizing machine learning potential assisted automated workflow for highly efficient complex systems material design

npj Computational Materials

204

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Integration of AI with databases, theory and automation enables systematic predictive materials discovery by identifying complex structure-property relationships and closing the loop between prediction and validation.

Source article: Digital materials ecosystem: from databases to AI agents for autonomous discovery

Chemical Science

205

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

Nature Communications

206

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedPolicy

AI-optimized additive manufacturing can enable more sustainable production systems and support circular-economy applications like supply-chain management and product customization in Industry 5.0.

Source article: Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives

Sustainability

207

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Medical large language models have potential to streamline healthcare delivery and improve patient outcomes by assisting clinicians, educators, and patients in daily practice.

Source article: A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

IEEE Transactions on Knowledge and Data Engineering

208

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedBusiness

French SMEs using generative AI tools were able to reassess business models and build entrepreneurial resilience during COVID-19 and geopolitical market turbulence.

Source article: Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs

Technovation

209

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedPolicy

The EU AI Act establishes a risk-based legal framework and EU-wide governance bodies that promote safe and lawful AI while protecting citizens' health, safety and fundamental rights and keeping the European AI industry competitive.

Source article: The EU's AI act: A framework for collaborative governance

Internet of Things

210

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLabor

In lean manufacturing organizations, AI applications may increase employees' engagement across physical, cognitive and emotional dimensions and improve psychological conditions of safety, meaningfulness and availability.

Source article: How does artificial intelligence impact employees’ engagement in lean organisations?

International Journal of Production Research