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Good Space a ranking of the record

TheGood surrounding AI

278 gains match this view. 97% rest on at least one peer-reviewed study, and 3% clear the high-evidence bar. The latest was filed Oct 16, 2026.

Every gain in this view, one square each, shaded by the strength of its evidence. High 9 Moderate 269 Emerging 0
278 results
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Sector: health

Matching records · page 8 of 10

211
Evidence-backed gainPeer-reviewedHealth

Deep learning models using orbital MRI predicted continuous clinical activity score with low error and inferred patient characteristics including age, sex, and smoking status.

Source article: Deep learning models for predicting clinical activity and characteristics in thyroid eye disease using magnetic resonance imaging

Orbit
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212
Evidence-backed gainPeer-reviewedHealth

Machine learning models trained on TriNetX data stratified patients receiving immune checkpoint inhibitors into risk tiers for cardiac immune-related adverse events within 90 days, achieving moderate discrimination.

Source article: Machine learning approaches to predict early cardiac immune-related adverse events in patients receiving immune checkpoint inhibitors

Supportive Care in Cancer
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213
Evidence-backed gainPeer-reviewedHealth

A LightGBM model trained on metabolomic data predicted incident major depressive disorder among obese participants with AUCs around 0.82-0.84 over 3 to 9 years and outperformed existing clinical models.

Source article: Metabolites stratify future major depressive disorder risk in obese population: a longitudinal machine learning analysis

Psychological Medicine
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214
Evidence-backed gainPeer-reviewedHealth

Advances in AI have enabled opportunistic identification of osteoporosis and other pathologies on imaging performed for other indications.

Source article: Clinical justification for osteoporosis investigation: transitioning from opportunistic to diagnostic referrals from alternative forms of imaging

Journal of Radiological Protection
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215
Evidence-backed gainPeer-reviewedHealth

In a retrospective audit of 5,000 women, the LBC-NET pipeline detected HSIL+ with higher sensitivity than senior cytopathologists and reduced review time while increasing daily capacity.

Source article: An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers

Acta Clinica Belgica
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216
Evidence-backed gainPeer-reviewedHealth

An XGBoost model trained on routinely collected prehospital vitals and demographics reduced under-triage and over-triage compared to a surrogate of the 2021 National Field Triage Guidelines in 1.2M trauma patients.

Source article: Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?

The American Surgeon™
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217
Evidence-backed gainPeer-reviewedHealth

Clinicians assisted by Retina4IRD achieved higher top-5 genetic diagnosis accuracy and better downstream management scores for suspected inherited retinal disease compared to specialist-only care.

Source article: AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial

Nature Medicine
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218
Evidence-backed gainPeer-reviewedHealth

A machine learning model using bedside fNIRS functional connectivity during audio movie clips predicted 6-month functional outcome in ICU patients with acute brain injury with 81.3% balanced accuracy, outperforming clinical models.

Source article: Early Identification of Recovery Potential After Acute Brain Injury Using Functional Near-Infrared Spectroscopy

Neurocritical Care
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219
Evidence-backed gainPeer-reviewedHealth

Monthly allocation of Medicaid care-management outreach by predicted individualized treatment effect prevented substantially more ED visits or hospital admissions than risk-based allocation at the same 10% capacity.

Source article: Treatment-Effect-Based Versus Risk-Based Targeting of Care Management Outreach in Medicaid: A Retrospective Cohort Study with Machine Learning

Population Health Management
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220
Evidence-backed gainPeer-reviewedHealth

Evidence-enhanced modular LLM pipeline reduced variability and improved medical accuracy and consistency when generating standardized EMRs from authentic dental chairside audio, especially in complex prosthodontic cases.

Source article: Multispecialty Dental EMRs from Chairside Audio: An Exploratory Study

Journal of Dental Research
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221
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
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222
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
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223
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
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224
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
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225
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
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227
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
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229
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
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230
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
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231
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
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232
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
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233
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
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238
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
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239
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
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240
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
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