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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 2 of 10

31
Evidence-backed gainPeer-reviewedHealth

Retraining an adult endotracheal tube model sequentially on 50 radiographs per hospital cut neonatal landmark localization error well below fine-tuning or adult-only use, without centralizing patient images.

Source article: Repurposing adult AI radiograph models for neonatal care through continual learning: an international multicentre study

Nature Biomedical Engineering
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32
Evidence-backed gainPeer-reviewedHealth

A support vector machine using source-level EEG nodal network features classified 47 patients with depression as 12-week antidepressant responders or non-responders with about 83% accuracy, suggesting a route beyond trial-and-error prescribing.

Source article: Machine learning-based source-level EEG functional network biomarkers of antidepressant treatment response in major depressive disorder

Progress in Neuro-Psychopharmacology and Biological Psychiatry
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34
Evidence-backed gainPeer-reviewedHealth

In an eight-case dental benchmark, GPT-5 at high or medium reasoning effort scored highest and always included the reference diagnosis, outperforming minimal effort and a compact medical model.

Source article: Multimodal artificial intelligence in dental diagnosis: influence of reasoning depth and domain-specific medical model on diagnostic performance

Odontology
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35
Evidence-backed gainPeer-reviewedHealth

A machine learning classifier screening over 7000 phytochemicals identified 17 polyphenols that bind quorum sensing proteins in Salmonella, pointing toward diet-based options against drug-resistant infections.

Source article: Discovery of dietary polyphenols targeting the autoinducer-2 quorum sensing system of pathogenic bacteria

Gut Microbes
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36
Evidence-backed gainPeer-reviewedHealth

In a small Ontario inpatient study, nurses found an AI-driven pain assessment app acceptable and feasible for identifying pain in older adults with delirium, cognitive impairment, or dementia.

Source article: Assessing AI Feasibility for Pain Evaluation in Hospitalized Cognitively Impaired Older Adults

Pain Management Nursing
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37
Evidence-backed gainPeer-reviewedHealth

A CT-based ResNet50 deep learning model achieved 98.47% test accuracy for classifying sinonasal inverted papilloma versus nasal polyps and normal anatomy, serving as a decision-support tool to assist clinical triage.

Source article: CT-based deep learning for identifying sinonasal inverted papilloma: a single-center retrospective study

European Archives of Oto-Rhino-Laryngology
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38
Evidence-backed gainPeer-reviewedHealth

An interpretable XGBoost model combining clinical variables and multimodal musculoskeletal ultrasound achieved high accuracy for osteoporosis prediction, offering a practical tool for early risk stratification.

Source article: Development and Validation of an Interpretable Machine Learning Model for Osteoporosis Prediction Using Multimodal Musculoskeletal Ultrasound and Clinical Features

Journal of Ultrasound in Medicine
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39
Evidence-backed gainPeer-reviewedHealth

A four-gene glycolysis risk model built with machine learning effectively forecasted survival and treatment efficacy for skin cutaneous melanoma patients.

Source article: Comprehensive analysis and external validation of a glycolysis-related gene signature as a prognostic index for skin cutaneous melanoma

Melanoma Research
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40
Evidence-backed gainPeer-reviewedHealth

Integration of artificial intelligence-assisted middleware into total laboratory automation enables standardized validation and improves diagnostic accuracy for low-concentration analytes in endocrinology and therapeutic drug monitoring.

Source article: Integration of liquid chromatography-tandem mass spectrometry into total laboratory automation: technical challenges and clinical advantages

Clinical Biochemistry
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41
Evidence-backed gainPeer-reviewedHealth

A Categorical Boosting model integrating routine serological markers, age, and liver stiffness measurement predicted biopsy-confirmed significant fibrosis in patients with CLD of uncertain etiology with AUC 0.827, outperforming FIB-4, GPR, Forns Index and LSM alone.

Source article: Machine Learning-Driven Noninvasive Prediction of Liver Fibrosis in Unclassified Liver Disease

MedComm
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42
Evidence-backed gainPeer-reviewedHealth

Researchers developed a machine learning driven QSAR model using four molecular descriptors to predict energy barriers for N-hydroxylation of aniline disinfection byproducts, achieving R2 around 0.8.

Source article: Mechanistic insight into Metabolic Activation Mechanism of Aniline Disinfection Byproducts catalyzed by P450 Enzymes from Distinct Species: N-hydroxylation Mechanism

Environmental Pollution
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43
Evidence-backed gainPeer-reviewedHealth

Random Forest and flag-based models integrating exposure, lipophilicity, mitotoxicity and cytotoxicity improved early DILI risk prediction with high specificity, supporting safer molecule triage to reduce hepatotoxicity-related attrition.

Source article: A Multiparametric in vitro Strategy for Small Molecule Drug-Induced Liver Injury Risk Mitigation in Early Drug Development

Toxicological Sciences
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44
Evidence-backed gainPeer-reviewedHealth

A Random Forest model trained on first-24-hour EMR data predicted severe influenza in hospitalized children with AUROC 0.88, outperforming five other models on decision curve analysis, with blood glucose ranked as top predictor.

Source article: Using interpretable machine learning models to predict the occurrence of severe influenza in hospitalized children: a retrospective cohort study

BMC Medical Informatics and Decision Making
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45
Evidence-backed gainPeer-reviewedHealth

A DenseNet121 model trained on 11,806 breast DWI slices can automatically flag hyper- and hypointense artifacts on high b-value images with high discrimination, supporting quality assessment for lesion detection.

Source article: Slice-Wise Quality Assessment of High b Value Breast DWI via Deep Learning-Based Artifact Detection

Journal of Magnetic Resonance Imaging
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46
Evidence-backed gainPeer-reviewedHealth

In blinded evaluation of 24 urogynecology patient queries, ChatGPT Health achieved higher overall patient-facing quality scores than ChatGPT Plus, with significantly greater clarity, completeness, and usefulness, while maintaining 100% median guideline concordance.

Source article: ChatGPT Health and ChatGPT Plus in Urogynecology: A Blinded Comparison of Response Quality, Guideline Concordance, and Safety

International Urogynecology Journal
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47
Evidence-backed gainPeer-reviewedHealth

In patients with advanced NSCLC receiving first-line immune checkpoint inhibitors, higher baseline serum albumin predicted by machine learning models was associated with significantly prolonged time to next treatment or death.

Source article: Serum albumin is associated with immune-related hypothyroidism and treatment continuity in non-small cell lung cancer

International Journal of Clinical Oncology
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48
Evidence-backed gainPeer-reviewedHealth

A three-module LLM agent system for bilingual clinical text expanded valid SNOMED CT candidates for expert mappers, raising hit rate@1 and R-precision while cutting per-segment mapping time by about half.

Source article: Development and Validation of Human-AI Collaborative Workflow in SNOMED CT Mapping of Bilingual Clinical Text

Journal of Medical Systems
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49
Evidence-backed gainPeer-reviewedHealth

NLP model classified incident MRONJ and identified antiresorptive drug holidays from free-text EHR notes with high precision and recall in validation sets.

Source article: Identifying incident medication-related osteonecrosis of the jaw and antiresorptive drug holidays using natural language processing on clinical notes in men and women prescribed bisphosphonates or denosumab for fracture prevention

Arthritis Care & Research
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50
Evidence-backed gainPeer-reviewedHealth

Conversational agents powered by generative AI may help transform healthcare delivery by collecting information, answering questions, documenting encounters, and supporting clinical decision-making through fluid contextual dialogue.

Source article: Transforming healthcare delivery with conversational AI platforms

npj Digital Medicine
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51
Evidence-backed gainPeer-reviewedHealth

In 1,838 stroke survivors, machine learning models incorporating the albumin-bilirubin score predicted all-cause mortality and enabled risk stratification for individualized management.

Source article: Predictive Value of the Albumin-Bilirubin Score for All-Cause Mortality in Individuals with Stroke: Machine Learning Prediction Models with SHAP-Based Interpretation

Journal of Stroke and Cerebrovascular Diseases
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52
Evidence-backed gainPeer-reviewedHealth

Patient-level 500-view convolutional neural network improved acute myeloid leukemia subtype classification, achieving 0.8783 accuracy and 0.8622 F1 score compared to single-view analysis.

Source article: Person-Based Progression in Acute Myeloid Leukemia Classification: A Multi-View Convolutional Neural Network Approach

Journal of Imaging Informatics in Medicine
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53
Evidence-backed gainPeer-reviewedHealth

Final-year nursing students receiving AI-adaptive simulation integrated with a workforce decision-support system showed greater gains in simulated leadership performance, team performance, and self-efficacy at Week 10 compared to controls.

Source article: Artificial Intelligence-Based Adaptive Simulation Integrated With a Workforce Decision-Support System to Improve Simulated Nursing Leadership Performance: A Randomized Controlled Study

Cureus
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54
Evidence-backed gainPeer-reviewedHealth

Fine-tuned LLaMA models extracted symptom presence and severity from free-text notes with high F1 scores, enabling the first structured quarterly trajectories for VNS patients.

Source article: Longitudinal symptom severity tracking in vagus nerve stimulation patients: a 2-stage LLM-based pipeline with explainable AI

JAMIA Open
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55
Evidence-backed gainPeer-reviewedHealth

A machine learning pipeline applied to urine SERS spectra improved multiclass diagnosis of IC and OAB versus healthy controls, achieving up to 92% accuracy with interpretable pathologic Raman features.

Source article: Multiclass Diagnostic Improvement of Interstitial Cystitis (IC) and Overactive Bladder (OAB) via Machine Learning Pipeline on Surface-Enhanced Raman Spectroscopy (SERS)

ACS Sensors
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56
Evidence-backed gainPeer-reviewedHealth

Integrating AI into clinical practice can improve disease diagnosis, treatment selection, and lab testing by leveraging large datasets to increase accuracy, reduce costs, save time, and minimize human errors.

Source article: Revolutionizing healthcare: the role of artificial intelligence in clinical practice

BMC Medical Education
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57
Evidence-backed gainPeer-reviewedHealth

Training 13 machine learning classifiers on the NEW10 macrophage module enabled accurate distinction of acute coronary syndrome from stable coronary artery disease and ruptured from stable plaques, with SVM linear and Naive Bayes reaching AUC 0.9333 in independent testing.

Source article: Integrative Single-Cell Transcriptomics, Multi-Omics Analyses, and Computational Pharmacology Reveal Macrophage Heterogeneity and the Putative THBS1-CD36 Axis in Coronary Atherosclerosis

Chemical Biology & Drug Design
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58
Evidence-backed gainPeer-reviewedHealth

In multicenter retrospective validation, greater concordance between clinician ventilator settings and VentPilot AI recommendations was associated with more ventilator-free days within 28 days, lower 28-day mortality, and shorter ICU length of stay.

Source article: Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation

Journal of Intensive Care
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59
Evidence-backed gainPeer-reviewedHealth

A LightGBM-based multimodal model integrating ultrasound radiomics, hemodynamic signatures and clinical data achieved high diagnostic accuracy on BI-RADS 4a nodules, supporting safer reduction of unnecessary biopsies.

Source article: Enhancing diagnostic precision for BI-RADS 4a breast nodules: A multimodal AI model integrating ultrasound radiomics, hemodynamic signatures, and clinical profiles

Journal of Applied Clinical Medical Physics
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60
Evidence-backed gainPeer-reviewedHealth

VoxelMorph achieved comparable deformable registration accuracy to clinical algorithms on thoracic 4D-CT, reaching 0.98 median lung Dice and 36.83 HU median MAE with shorter processing times in the evaluated implementation.

Source article: Comparative evaluation of VoxelMorpand conventional deformable image registration algorithms for thoracic 4D-CT in radiotherapy

Journal of Applied Clinical Medical Physics
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