+ HEALTH Background Discharge letters are essential for continuity of care, yet patients often misunderstand their con…± HEALTH Hematoxylin and Eosin (H&E) glass slide preparation is fundamental to histopathology. Pathologists' expertise…+ CLIMATE Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Co…± HEALTH Background Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains chal…+ HEALTH T cell exhaustion has widespread implications for the progression and treatment of chronic diseases including…+ HEALTH Background Standard pulmonary arterial hypertension (PAH) risk models may not fully apply to PAH associated w…+ HEALTH Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixe…± HEALTH Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovas…
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. 413 records · page 11 of 14.

413 results
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303
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

A six-protein plasma signature tested with SVM distinguished fibrotic hypersensitivity pneumonitis from idiopathic pulmonary fibrosis on an independent test set with 71.4% accuracy, offering a non-invasive diagnostic aid.

Source article: Plasma proteomics and machine learning deliver non-invasive distinction between fibrotic hypersensitivity pneumonitis and idiopathic pulmonary fibrosis

Journal of Translational Medicine
304
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

LightGBM model trained on 282 Lenke 1/2 AIS patients predicted postoperative coronal imbalance with AUC 0.885 training and 0.824 internal validation, identifying LIV-LSTV, Lumbar Modifier, and Risser grade as key predictors.

Source article: Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability

International Orthopaedics
305
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Multi-Scale Feature Fusion model combining U-Net segmentation, EfficientNet and attention autoencoder features fused via CCA and YOLO classification achieved 99.95% accuracy on apple leaf disease datasets, enabling early detection for sustainable agriculture.

Source article: Comprehensive plant disease classification and severity estimation for sustainable farming via automatic segmentation and multi-scale feature fusion

BMC Plant Biology
308
Reader signal

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312
Reader signal

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313
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

Machine learning classifiers using demographic, clinicopathological and inflammatory markers predicted 5-year overall survival and second primary cancer occurrence in a European nasopharyngeal carcinoma cohort.

Source article: Machine learning prognostication in nasopharyngeal carcinoma: a european multicentre analysis of survival and risk of second malignancy

European Archives of Oto-Rhino-Laryngology
314
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

XGBoost model integrating UHR and iPTH predicted protein-energy wasting in incident hemodialysis patients with AUC 0.801, enabling individualized risk assessment.

Source article: Predictive value of the uric acid to high-density cholesterol ratio (UHR) combined with intact parathyroid hormone for protein-energy wasting after incident hemodialysis: a multicenter study

Renal Failure
316
Reader signal

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318
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedHealth

AI-optimized monoclonal antibody GB-0669 was safe and well-tolerated in healthy adults with dose-proportional pharmacokinetics and a 54-day half-life and dose-dependent serum live virus neutralization.

Source article: Randomized, Double-Blind, Placebo-Controlled First-in-Human Trial of a First-in-Class AI-Designed Monoclonal Antibody (GB-0669) Against the Conserved SARS-CoV-2 Spike S2 Stem Helix

The Journal of Infectious Diseases
320
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedEducation

Three elementary students with dyslexia improved from low baseline reading comprehension to mastery and maintained gains after GenAI-based visual instruction using ChatGPT-generated visuals aligned to their Arabic coursebook.

Source article: The effects of AI-based visual instruction on the reading comprehension of students with dyslexia in Saudi Arabia: a single-case experimental study

Frontiers in Education
323
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

A deep neural network trained on DFT data learned a transferable potential that predicts total energies for organic molecules with chemical accuracy versus DFT, generalizing to systems up to 54 atoms despite training on smaller molecules.

Source article: ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost

Chemical Science
327
Reader signal

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329
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedClimate

Hybrid framework using Binary iHow for feature selection and iHow for hyperparameter tuning of a Multi-Scale Attention Network reduced forecasting error for wind and solar generation and improved computational scalability for smart-grid management.

Source article: Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks

Scientific Reports
330
Reader signal

How should this claim be treated?

Evidence-backed gainPeer-reviewedScience

Integrating Shuffled Frog Leaping Algorithm optimization with Boosted Trees and QSVM classifiers improved discrimination of argillic, phyllic, propylitic and iron oxide alteration zones from ASTER and Sentinel-2 data, raising AUC and achieving strong field validation.

Source article: Metaheuristic-optimized machine learning framework for remote sensing-based alteration mapping of porphyry copper systems

Scientific Reports