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 6 of 12.

151

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A survival-oriented machine learning framework distilled epigenomic and transcriptomic data into a 25-gene lipid-metabolic signature that stratified bladder cancer patients by risk across multiple cohorts and identified FASN and SCD as inhibitable drivers of proliferation and migration in cell models.

Source article: Epigenomics-Guided Multi-Omics Integration Uncovers a Lipid-Metabolic Signature with Translational Utility in Bladder Cancer

Computational and Structural Biotechnology Journal

152

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A fine-tuned MobileNetV2 model differentiated vitiligo from postinflammatory hypopigmentation with 94.88% accuracy and 0.9885 AUC while providing clinically meaningful ensemble explanations.

Source article: Clinically Interpretable Deep Learning for Differentiating Vitiligo and Postinflammatory Hypopigmentation: Diagnostic Accuracy Study

JMIR Medical Informatics

153

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Persona-driven document-level augmentation with multiple LLM personas increased BioBERT disease NER F1 over gold-standard-only training on both RareDis and NCBI disease datasets.

Source article: Persona-Driven Data Augmentation for Disease Name Recognition Across Rare and General Disease Corpora: Comparative Evaluation Study

JMIR Medical Informatics

154

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A ridge regression-based 26-gene programmed cell death riskscore built from single-cell and nine bulk cohorts stratified breast cancer patients by risk and predicted overall survival, and PDIA4 knockdown reduced tumor growth.

Source article: The single-cell atlas of programmed cell death signature: A machine learning-based prognostic framework in breast cancer

Journal of Biomedical Research

155

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

EMFF-2025 provides DFT-level accuracy for structure, mechanical properties, and decomposition across 20 C, H, N, O energetic materials while enabling faster iteration than first-principles methods.

Source article: EMFF-2025: a general neural network potential for energetic materials with C, H, N, and O elements

npj Computational Materials

156

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A machine-learning derived weighted score from 18 cfDNA 5hmC-modified genes at diagnosis predicted overall and progression-free survival in newly diagnosed multiple myeloma after adjusting for stage and other clinical factors.

Source article: Prognostic Significance of Cell-Free DNA Derived 5-Hydroxymethylcytosine Signatures in Newly Diagnosed Multiple Myeloma

JCO Precision Oncology

157

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Bibliometric synthesis reports that automation in accounting enhances efficiency, accuracy, and reliability.

Source article: Digital Transformation in Accounting: An Assessment of Automation and AI Integration

International Journal of Financial Studies

158

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLifestyle

AI-driven real-time contamination detection, automated defect detection, and resource-efficient agriculture techniques improved food safety, quality consistency, and security by reducing public health risks and optimizing shelf-life and supply chains.

Source article: Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review

Discover Applied Sciences

159

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

FUTURE-AI consensus guideline defines 30 best practices across six principles to enable development and deployment of trustworthy AI tools in healthcare.

Source article: FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

BMJ

160

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Literature prior to September 2024 reports generative models being applied in ophthalmology to improve diagnostic AI, enable inter-modality transformation, improve treatment and prognostication, denoise images, and support individualized education.

Source article: AI image generation technology in ophthalmology: Use, misuse and future applications

Progress in Retinal and Eye Research

161

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedPolicy

AI is being applied to support development and assimilation of financial regulation under China's new supervisory structure led by the NFRA.

Source article: Financial regulation reforms in China – can artificial intelligence be a gamechanger to more sustainable financial regulations

Financial Law Review

162

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Integrating AI across 6G network layers enables optimized resource allocation and improved efficiency, with future networks providing AI as a service for immersive communication and industrial robots.

Source article: Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities

Science China Information Sciences

163

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedCrime

AI and ML integration into cybersecurity improves detection, response, and mitigation of sophisticated cyber threats across intrusion detection, malware classification, and threat intelligence.

Source article: Artificial intelligence and machine learning in cybersecurity: a deep dive into state-of-the-art techniques and future paradigms

Knowledge and Information Systems

164

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedBusiness

Integration of AI, big data, blockchain, VR and IoT into digital tourism platforms can improve personalized travel experiences, operational efficiency, and eco-conscious travel options.

Source article: The Role of Digital Tourism Platforms in Advancing Sustainable Development Goals in the Industry 4.0 Era

Sustainability

165

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

In a randomized double-blind crossover study of text consultations, AMIE showed greater diagnostic accuracy than primary care physicians.

Source article: Towards conversational diagnostic artificial intelligence

Nature

166

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

By May 2025, progressive incorporation of AI into operational medicine had increased efficiency for early adopters including the United States military, with applied use in non-invasive medical imaging and mental health applications in front-line and support roles.

Source article: Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military

Bioengineering

167

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

Aurora foundation model outperforms operational forecasts for air quality, ocean waves, tropical cyclone tracks and high-resolution weather while running at orders of magnitude lower computational cost.

Source article: A foundation model for the Earth system

Nature

168

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI collected patient histories more effectively than general practitioners during initial consultations, with stronger performance in older patients and for allergies and family history of cancer.

Source article: Performance of artificial intelligence in the collection of patient history in general practice

Atención Primaria

169

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Young people with mental health difficulties developed platform literacy, including data and algorithm literacies, to critically examine platforms and take anticipatory and remedial action against risky features.

Source article: Can platform literacy protect vulnerable young people against the risky affordances of social media platforms?

Information, Communication & Society

170

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

DynStabNet E(3)-equivariant graph neural network predicts dynamical stability of semiconductor crystal candidates without explicit phonon calculations at inference, achieving 97% accuracy and cutting per-structure evaluation from hours to ~1 ms to accelerate large-scale screening.

Source article: DynStabNet: A Deep Learning Framework for Fast Dynamical Stability Prediction of Crystal Structures

The Journal of Physical Chemistry Letters

171

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A supervised fine-tuned Baichuan2-7B-Chat model trained on 45,338 prostate cancer lifestyle QA samples outperformed its base model and performed comparably or better than GPT-3.5-Turbo across diet, activity, weight, adherence, and psychological support scenarios in dual-round blinded LLM referee evaluation.

Source article: A Supervised Fine-Tuned Large Language Model for Lifestyle Management in Patients With Prostate Cancer: Development and Evaluation Study

Journal of Medical Internet Research

172

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Final-year medical students using an AI virtual patient with nine emergency medicine scenarios showed significant improvement in overall OSCE outcomes in the small MEET cohort and reported higher confidence in history-taking, differential diagnosis, and management planning.

Source article: Enhancing objective structured clinical examination performance through an artificial intelligence virtual patient: a proof-of-concept study

Baylor University Medical Center Proceedings

173

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI and large language models have matured to improve clinicians' diagnostic decision-making during bedside and clinic consultations and help institutions increase diagnostic safety, addressing preventable diagnostic errors.

Source article: Can AI assist in reducing diagnostic error? A narrative review

Diagnosis

174

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Multimodal AI integrating medical imaging, genomic information and electronic health records enables patient-specific biomaterial design and improves diagnostic precision and targeted therapy

Source article: Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare

Nanomaterials

175

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI-facilitated imaging and decision support is detecting cancers earlier and making diagnosis and treatment more precise and personalized.

Source article: Current AI technologies in cancer diagnostics and treatment

Molecular Cancer

176

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

As of June 2025 review, current implementations of large language models were observed to offer promising applications in clinical decision support, diagnostics, and patient care.

Source article: Large Language Models in Healthcare and Medical Applications: A Review

Bioengineering

177

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLifestyle

AI systems enable precision nutrition by delivering real-time dietary recommendations and meal planning tailored to individual biological markers like blood glucose, and improve food production through quality control and waste minimization.

Source article: Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions

Frontiers in Nutrition

178

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLabor