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Good Space a ranking of the record

TheGood surrounding AI

574 documented gains are on the board. 82% rest on at least one peer-reviewed study, and 8% clear the high-evidence bar. Health carries 49% of it. The latest was filed Oct 16, 2026.

Every gain on the board, one square each, shaded by the strength of its evidence. High 45 Moderate 529 Emerging 0
574 results
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The board · page 10 of 20

271
Evidence-backed gainPeer-reviewedScience

A hybrid quantum-classical model combining variational quantum circuits with ESM2 achieved statistically significant improvements over classical baselines for multi-class IDR binding partner prediction.

Source article: Quantum-Enhanced Transfer Learning for IDR Binding Partner Prediction

IEEE Transactions on Computational Biology and Bioinformatics
Reader signal

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272
Evidence-backed gainPeer-reviewedCrime

A bagging ensemble combining random forest and multilayer perceptron improved landscape ecological vulnerability mapping for riverbank erosion, reaching 0.97 AUC and enabling targeted land management for disaster risk reduction.

Source article: Hybrid ensemble machine learning algorithms for landscape ecological vulnerability assessment to riverbank erosion

Environmental Monitoring and Assessment
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273
Evidence-backed gainPeer-reviewedHealth

A CoxBoost + survivalSVM prognostic model built from resistance-associated cluster genes achieved C-index 0.686 and stratified LUAD patients with HR 2.54-10.51, with low-risk patients showing greater immune infiltration and ARNTL2 knockdown suppressing proliferation and invasion in A549 and H1299 cells.

Source article: Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma

Translational Oncology
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274
Evidence-backed gainPeer-reviewedHealth

AI-enabled intervention delivery for adult cancer survivors was associated with reported improvements in clinical and psychosocial outcomes, with model performance generally moderate to high across symptom tasks.

Source article: Application of Artificial Intelligence (AI) in cancer symptom management for adult cancer survivors: a scoping review

International Journal of Medical Informatics
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275
Evidence-backed gainPeer-reviewedHealth

A hybrid attention-enhanced segmentation plus morphological feature classification framework classified OA progression stages at 18-month and 30-month follow-ups from OAI longitudinal knee MRI, achieving 86.67% accuracy with Random Forest to support timely treatment decisions.

Source article: Automated diagnostic system for classification of progression stages of osteoarthritis using magnetic resonance imaging

Physica Medica
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276
Evidence-backed gainPeer-reviewedClimate

Ensemble ML with SHAP clustering achieved R2=0.913 on 2020-2023 regulatory data and identified ten recurrent environmental settings driving PM10, enabling interpretable analysis without chemical speciation.

Source article: Beyond concentration-based analysis: explainable AI identifies environmental settings influencing urban PM 10 variability

Science of The Total Environment
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277
Evidence-backed gainPeer-reviewedClimate

A probabilistic causal machine learning framework trained on long-term monitoring data from a full-scale wastewater plant can predict N2O hot moments and convert interpretable outputs into risk-decision rules for adaptive aeration and load regulation to reduce emissions.

Source article: Identifying causal pathways and risk-decision rules for nitrous oxide emission hot moments in wastewater treatment plants using probabilistic causal machine learning

Bioresource Technology
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278
Evidence-backed gainPeer-reviewedHealth

A DWT-HVG framework with Soft Voting Ensemble enabled automated classification of resting-state EEG for ASD screening with 93.54% accuracy and 98.17% AUC in stratified 10-fold cross-validation.

Source article: Automated autism spectrum disorder detection using EEG signals and time-frequency visibility graphs

Neuroscience
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279
Evidence-backed gainPeer-reviewedHealth

A multi-modal deep learning framework using Heckmatt scores from six key muscles improved speed and diagnostic performance for muscle ultrasound, predicting neuromuscular pathology with an area under the precision-recall curve of 0.87 on a test set of 320 patients.

Source article: A Combined Deep Learning Approach to Screen Patients for Neuromuscular Pathology

Ultrasound in Medicine & Biology
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280
Evidence-backed gainPeer-reviewedHealth

An AI system using modified U-Net segmentation automatically classified inferior alveolar nerve proximity to impacted mandibular third molars on CBCT with 90.1% accuracy and reduced analysis time from ~189 seconds to ~4.8 seconds compared to expert radiologists.

Source article: Validation of artificial intelligence-assisted CBCT analysis for predicting inferior alveolar nerve proximity to impacted mandibular third molars: a diagnostic accuracy study

BMC Oral Health
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281
Evidence-backed gainPeer-reviewedHealth

Converting numerical clinical data into 24-bit rectangular coded images and training ResNet architectures improved heart failure survival prediction, reaching reported accuracy up to 0.9617.

Source article: A novel approach for predicting heart failure survival using a rectangular coded network

Physical and Engineering Sciences in Medicine
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282
Evidence-backed gainPeer-reviewedHealth

An AI model trained on surgical video frames achieved automated real-time detection and segmentation of bladder neck, adenoma and peripheral zone during robot-assisted prostate enucleation with high Dice scores and >60 fps inference.

Source article: Real-time artificial intelligence-based anatomy recognition in single-port transvesical enucleation of the prostate

BJU International
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283
Evidence-backed gainPeer-reviewedHealth

An AI reinforcement learning model trained on Swedish population data produced efficient, low-cost diagnostic sequences for moderate to severe breathlessness with high diagnostic yield, prioritizing BMI, anxiety/depression, physical activity, and spirometry before lung diffusion, CT, and hemoglobin tests.

Source article: Using AI to determine optimal cost-effective diagnostic pathways for chronic breathlessness

npj Primary Care Respiratory Medicine
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284
Evidence-backed gainPeer-reviewedHealth

Causal AI integrated into healthcare informatics systems improves personalized clinical decision-making by estimating individual treatment effects and simulating intervention outcomes.

Source article: CAUSAL artificial intelligence and data-driven decision intelligence in personalized medicine: a review of healthcare informatics systems

Personalized Medicine
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286
Evidence-backed gainPeer-reviewedHealth

Integration of multi-omics and machine learning can improve cardiovascular disease management by supporting definitive and early diagnosis, severity assessment, full-course risk stratification, and individualized prediction of drug and surgical benefit-risk to inform decisions.

Source article: Machine learning and multi-omics technologies for precision cardiovascular medicine: advancing diagnosis, risk prediction, and therapeutic guidance

Frontiers in Cardiovascular Medicine
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287
Evidence-backed gainPeer-reviewedHealth

Integrating pathology foundation models and multimodal AI to connect histology, genomics, spatial biology and longitudinal monitoring enables evolution-aware prediction of lymph-node metastasis and recurrence risk in colorectal cancer.

Source article: Beyond Morphology: Reframing Lymph-Node Metastasis Prediction Through Clonal Ecology-Decades-Long Genomic Instability and Polyclonal-to-Monoclonal Transitions as the Missing Dimension in Cancer

Stem Cells and Development
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288
Evidence-backed gainPeer-reviewedHealth

A random forest model using nine routine blood-based predictors can screen for erectile dysfunction risk with high external validation performance, enabling early non-invasive detection during health check-ups.

Source article: Identification of Erectile Dysfunction From Routine Blood Test Data: Development and Validation of a Machine Learning-Based Prediction Model

Andrology
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289
Evidence-backed gainPeer-reviewedHealth

A convolutional neural network using standard 12-lead ECGs can estimate elevated NT-proBNP levels with strong correlation and good discrimination in internal and external validation.

Source article: Development and External Validation of an AI-ECG Algorithm for Estimating Elevated Serum NT-proBNP Levels

European Heart Journal - Quality of Care and Clinical Outcomes
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290
Evidence-backed gainPeer-reviewedScience

A delta-ML graph neural network using GFN2-xTB geometries and DFT single-points as low-fidelity inputs predicted PBE0-D3BJ and PBE-D3BJ level properties of transition metal complexes with higher accuracy and better data efficiency than a conventional benchmark.

Source article: Δ -Machine Learning for the Prediction of Metal Complex Properties

Chemistry – A European Journal
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291
Evidence-backed gainPeer-reviewedHealth

Applying FDA-cleared SubtleHD enhancement to already diagnostic-quality T1 MRI improved Alzheimer's disease classification performance and allowed models trained on only 70% of enhanced data to match full-data standard-of-care performance.

Source article: Deep Learning-Based Enhancement of Already Diagnostic-Quality MRI for Alzheimer's Disease Classification: Effects on Model Performance and Training Data Requirements

Journal of Magnetic Resonance Imaging
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292
Evidence-backed gainPeer-reviewedHealth

ML-based phenomapping of 106,490 Danish KC patients identified 7 distinct subgroups differentiated by disease burden, comorbidities and socioeconomic status, providing a basis for tailored clinical pathways.

Source article: Machine-learning-based Phenomapping of Patients with Keratinocyte Carcinoma: Data-driven Subgrouping by Disease Burden, Comorbidities and Socioeconomic Status

Acta Dermato-Venereologica
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293
Evidence-backed gainPeer-reviewedPolicy

A multi-stage framework integrating YOLOv8 detection, OC-SORT tracking, dynamic CROI filtering, and ST-GAT prediction enables accurate real-time traffic-conflict prediction at signalized intersections to enhance safety and mitigate accident risks.

Source article: Efficient video-based traffic conflict prediction and interpretable risk analysis at signalized intersections via deep learning

Traffic Injury Prevention
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294
Evidence-backed gainPeer-reviewedHealth

Automated AI segmentation of macular OCT quantified selective inner retinal thinning during silicone oil tamponade and identified RNFL, GCL+IPL and PR+RPE as strongest predictors of visual acuity change, enabling prognostication after oil removal.

Source article: PREDICTIVE OCT BIOMARKERS OF RETINAL CHANGES AND VISUAL OUTCOMES IN SILICONE OIL ENDOTAMPONADE IDENTIFIED BY ARTIFICIAL INTELLIGENCE

Retina
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295
Evidence-backed gainPeer-reviewedHealth

AI assistance during routine mammography was associated with higher overall cancer detection and no increase in average interpretation time.

Source article: Impact of AI assistance on reading time, cancer detection rate, and abnormal interpretation rate in screening and diagnostic mammography: a prospective alternating-month study

European Radiology
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296
Evidence-backed gainPeer-reviewedHealth

CURL-AID automated analysis of parasternal long-axis echocardiograms quantified posterior annular hypermobility and classified posterior systolic curling with AUC 0.865 and accuracy 0.82.

Source article: CURL-AID: Automated Echocardiographic Motion Analysis for Quantitative Assessment of Posterior Systolic Curling

Ultrasound in Medicine & Biology
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297
Evidence-backed gainPeer-reviewedScience

Researchers built a DPMD-based machine learning force field with active learning for FLiBeU fuel salt and used it to systematically compute microstructure, thermophysical and transport properties across 773-1173 K and 3-50 mol% UF4.

Source article: Machine learning force field development and basic physical property studies for molten salt reactor fuel salt LiF-BeF<sub>2</sub>-UF<sub>4</sub>

Physical Chemistry Chemical Physics
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298
Evidence-backed gainPeer-reviewedHealth

Random survival forests models incorporating oxidative stress index score improved prediction of disease-free and overall survival for locally advanced rectal cancer patients receiving neoadjuvant therapy, outperforming conventional ypStage and enabling risk stratification.

Source article: Building Machine Learning Models Based on Oxidative Stress Index Score to Predict Survival of Locally Advanced Rectal Cancer Receiving Different Neoadjuvant Therapy Patterns

Diseases of the Colon &amp; Rectum
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299
Evidence-backed gainPeer-reviewedHealth

The CODEX Action Incubator at UCSF convened 30 stakeholders and reached consensus on two priority metrics of AI scribe usage by primary care physicians to assess diagnostic excellence, including timely follow-up of abnormal breast and colorectal cancer screening results.

Source article: The CODEX action incubator: a consensus-driven approach to identify and implement diagnostic excellence measures in the context of artificial intelligence

Diagnosis
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300
Evidence-backed gainPeer-reviewedScience

Generative AI applied to supply chain and operations management can enhance decision-making and optimize processes across areas like demand forecasting and inventory management to improve efficiency, accuracy, and resilience.

Source article: Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

International Journal of Production Research
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