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 2 of 14.

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

In implant dentistry, MR-based dynamic navigation achieved sub-millimetric entry deviation and outperformed freehand technique, with up to 72% angular accuracy improvement for inexperienced operators and more conservative tissue removal in endodontic and prosthetic tasks.

Source article: Augmented and mixed reality as auxiliary tools in dental procedures and their integration with artificial intelligence: a scoping review

Journal of Dentistry

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Systematic review finds AI and deep learning models achieve high accuracy on cytology and histopathology images and offer gains in consistency, speed, cost-effectiveness, and reduced pathologist workload in breast cancer screening and diagnosis.

Source article: Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era

International Journal of Breast Cancer

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

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Adding 913 conditional-GAN simulated ganglionic tiles to 461 real ganglionic and 1374 real aganglionic FCM tiles improved a CNN's ability to discriminate ganglionic bowel on an independent real-image test set of 590 aganglionic and 198 ganglionic tiles, raising accuracy from 75% to 84% and sensitivity from 78% to 91% .

Source article: GENERATIVE AI FOR HIRSCHSPRUNG DISEASE: CAN SYNTHETIC FLUORESCENCE CONFOCAL MICROSCOPY IMAGES ENHANCE INTRAOPERATIVE DETECTION OF GANGLIONIC BOWEL?

Journal of Pediatric Surgery

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

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

Reinforcement learning provides intelligent, scalable and adaptive control for electric vehicle charging station operations to address grid constraints, renewable integration and dynamic pricing.

Source article: Reinforcement Learning for Electric Vehicle Charging Management: Theory and Applications

Energies

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

FedMediFormer-XAI combined federated learning, multimodal transformers, diffusion augmentation and GNN drug recommendation to achieve 94.2% accuracy for diabetes prediction and NDCG 0.91 for personalized drug recommendation while enabling privacy-preserving training without sharing raw patient data.

Source article: FedMediFormer-XAI: Federated Multimodal Transformers with Diffusion Augmentation and Graph-Based Drug Recommendation for Diabetes

Journal of Visualized Experiments

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

An XGBoost model using 43 routine preoperative variables estimated 1-year mortality after total knee and hip arthroplasty with AUROC 0.761 and stable calibration, stratifying patients so the top 5% had 6.2-fold higher mortality than baseline.

Source article: Advancing preoperative planning technology in total joint arthroplasty with a real-time machine learning calculator: 1-year mortality risk in a value-based care era

Arthroplasty

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI and complementary digital health technologies improved travel healthcare by enhancing pre-travel risk prediction, enabling earlier outbreak detection during travel, and increasing diagnostic accuracy after travel.

Source article: Artificial Intelligence and Complementary Digital Health Technologies Across the Travel Medicine Continuum: A Narrative Review

Journal of Travel Medicine

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Among 503 Polish state university students, habit and performance expectancy increased behavioral intention to use ChatGPT, and behavioral intention increased actual use behavior in higher education.

Source article: Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology

Innovative Higher Education

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedLifestyle

In 230 SMEs, green innovation was positively related to sustainable performance, mediated by green knowledge sharing and green dynamic capabilities, with AI significantly moderating those links.

Source article: Power of Green Capabilities and Artificial Intelligence (AI): Understanding How and When Green Innovation Promotes Sustainability

Business Strategy and the Environment

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

XGBoost model predicted PMOS status from detailed body-composition measures with AUC 0.701 in testing, with SHAP highlighting regional fat masses as top predictors.

Source article: Causal adiposity and clinical validation of regional fat distribution in PMOS: a multi-modal analysis integrating GBD 2021, Mendelian randomization, and machine learning

International Journal of Obesity

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Protocol proposes AI-based DyVe-X software to continuously quantify exertional dyspnoea against work rate and ventilation and to identify excessive and constrained breathing patterns during incremental CPET, with anticipated superior performance over peak breathing reserve criterion.

Source article: A protocol for validation of novel artificial intelligence-based framework for dyspnoea investigation with cardiopulmonary exercise testing

ERJ Open Research

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

An ensemble deep learning model combining AP and lateral skull X-rays detected skull fractures in neonates and infants with 91.6% accuracy and 0.938 AUC on external validation, improving diagnostic accuracy while reducing need for CT.

Source article: Automated Diagnosis of Infantile Skull Fractures From X-Ray Images Using an Ensemble Deep Learning Model

Journal of Korean Medical Science

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Integrating surface-enhanced Raman spectroscopy with a support vector machine model enabled rapid species-level identification of seven clinically common Nocardia spp. at 99.47% accuracy to guide clinical treatment.

Source article: Species-level identification of Nocardia spp. from clinical samples via intelligent analysis of Raman spectroscopic fingerprints

World Journal of Microbiology and Biotechnology

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Ensemble tree-based machine learning models predicted band gap energies across multiple halide perovskite families with strong accuracy and identified B-site and X-site properties as key descriptors to guide design of new low-toxicity materials for optoelectronics.

Source article: Machine learning insights into band gap properties in halide-based perovskites

Physical Chemistry Chemical Physics

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A logistic regression model combining grayscale ultrasound, contrast-enhanced ultrasound, and serum TPO-Ab improved differentiation of benign versus malignant thyroid nodules in Hashimoto's thyroiditis, reaching cross-validated AUC 0.849 with 77.3% sensitivity and 77.8% specificity.

Source article: A Multiparametric Approach Integrating Multimodal Ultrasound and Serum TPO-Ab for Differentiating Thyroid Carcinoma in Hashimoto's Thyroiditis: A Comparative Diagnostic Study with Internal Validation

Journal of Ultrasound in Medicine

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Dynamic machine learning models using vital signs, lab trends and unstructured data can detect sepsis-related deterioration hours before clinical decompensation in critically ill cancer patients, supporting a shift from reactive to predictive onco-critical care.

Source article: Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care

World Journal of Critical Care Medicine

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Automation and AI applied to ventilator management support waveform analysis, asynchrony detection, and weaning-readiness prediction to enable more individualized lung-protective care within predefined safety limits.

Source article: Physiology-guided mechanical ventilation: Monitoring, proportional assist, and bounded automation

World Journal of Critical Care Medicine

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

NDIB-Sim achieved high-fidelity long-term brain activity prediction from short-term observations with functional connectivity similarity above 0.97 and enabled subject-specific parameters that distinguish Alzheimer's patients from cognitively normal individuals.

Source article: NDIB-Sim: A Multimodal Bidirectional PINN Model for Simulating Brain Dynamics

IEEE Transactions on Neural Networks and Learning Systems

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedCrime

A SnSe/SnO2 p-n heterojunction single-sensor virtual electronic nose using a PCA-KNN framework enables room-temperature, non-contact detection and classification of volatile sulfur compounds released during methamphetamine production and trafficking, with high response to low-concentration H2S and 96.7% accuracy for H2

Source article: SnSe/SnO2 Heterojunction-Based Single-Sensor Virtual Electronic Nose with Low Reaction Barrier for Trace Identification of Volatile Sulfur Compounds toward Illicit Methamphetamine Trafficking Traceability

ACS Applied Materials & Interfaces

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

GIN-CRC-Pareto improved identification of miRNA-mRNA interactions in colorectal cancer, achieving 0.909 accuracy and 0.969 AUC on binding pair prediction and outperforming existing tools.

Source article: GIN-CRC-Pareto: A graph-based pareto-optimized multi-task learning framework to identify miRNA-target interactions in colorectal cancer

Journal of Biomedical Informatics

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

H2O AutoML trained on 4713 MESA participants using 21 selected predictors achieved higher discrimination than logistic regression and traditional ML models, reaching AUC 0.882 and accuracy 0.864, intended as a practical tool for clinician risk stratification.

Source article: Improving 10-year cardiovascular disease risk prediction using automated machine learning

International Journal of Cardiology

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

An ultrasound-based habitat subregional radiomics model using SVM achieved strong external validation for preoperative prediction of invasive breast cancer with concomitant DCIS, supporting preoperative risk stratification.

Source article: Ultrasound Habitat Radiomics for Preoperative Prediction of Invasive Breast Cancer With a DCIS Component: A Dual-center Retrospective Study

Ultrasound in Medicine & Biology

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedPolicy

University EFL students receiving AI-mediated language instruction showed higher English achievement across grammar, vocabulary, reading and writing, plus increased L2 motivation and greater use of self-regulated learning strategies compared to traditional instruction.

Source article: Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

Frontiers in Psychology

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Elastic Net model distinguished three depressive symptom trajectories in older adults with chronic conditions and was deployed as an interactive web-based risk calculator for individualized risk profiling.

Source article: Predicting longitudinal depressive symptom trajectories among older Chinese adults with chronic health conditions: An interpretable machine learning study

International Psychogeriatrics

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Interpretable machine learning combining admission D-dimer and total bleeding volume improved prediction of 12-month functional outcome after aneurysmal subarachnoid hemorrhage, with XGBoost achieving AUC 0.904 and combined D-dimer+TBV+Hunt-Hess outperforming single markers, to inform early risk stratification.

Source article: Prognostic Value of Admission D-dimer Levels and Total Bleeding Volume in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study with Machine Learning-Based Modeling

Neurocritical Care

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A CECT-based 2PI imaging scoring system combined with clinical parameters enabled a Random Survival Forest model to stratify solitary HCC patients into high- and low-risk recurrence groups and predict postoperative recurrence.

Source article: A CECT-Based 2PI System as a Novel Noninvasive Prognostic Tool for Hepatocellular Carcinoma: A Dual-Validation Study

Cancer Science

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Cases without consensus were excluded from the AI accuracy analysis. AI accuracy was calculated as the proportion of correct classifications among consensus cases, and the two models were compared using McNemar's test with continuity correction.

Source article: Accuracy of General-Use Multimodal AI Platforms for Pell and Gregory Classification of Impacted Mandibular Third Molars

Cureus

Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A 17-gene diagnostic signature showed high accuracy for MDS detection (AUC = 0.963). Functional enrichment, machine learning (logistic regression, support vector machine, LASSO), regulatory network (transcription factors, miRNA, RNA-binding proteins, and drug targets), immune infiltration characterization (ssGSEA), and RT-qPCR assessment were performed.

Source article: Integrative bioinformatic analysis delineates a mitochondrial-hematopoietic gene signature for diagnosis and immune characterization in myelodysplastic syndromes

Hematology