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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 4 of 20

91
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
Reader signal

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92
Evidence-backed gainPeer-reviewedEducation

A gradient boosting model combining prior achievement, psychological, instructional and learning-technology factors predicted twelfth-grade math scores with acceptable accuracy.

Source article: Design and Evaluation of an Artificial Intelligence–Based Model for Predicting Twelfth-Grade Students’ Mathematics Performance Based on Individual, Educational, and Learning Technology Factors

International Journal of Education and Cognitive Sciences
Reader signal

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93
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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95
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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96
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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97
Evidence-backed gainPeer-reviewedEducation

Educators and students who reviewed a programme-level framework perceived it as potentially useful for supporting skill development and meaningful reflection when generative AI is available.

Source article: Using a Programme-Level Approach to Developing Reflective Practice in Health Professions Education in the Age of AI

The Clinical Teacher
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98
Evidence-backed gainPeer-reviewedScience

In a pilot, ChatGPT-4o produced 55 hypotheses on fungal factors and cervical carcinogenesis, and expert reviewers rated 63.6% as high quality, suggesting it can help seed research directions.

Source article: A pilot evaluation of ChatGPT-4o-assisted hypothesis generation for exploring potential links between fungal biology and cervical cancer

Antonie van Leeuwenhoek
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99
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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100
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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101
Evidence-backed gainPeer-reviewedPolicy

DSAI technologies enhance public agency and civil society capabilities through data de-compression and enable productivity gains via an intelligent centre, devolved delivery model for state functions.

Source article: Data science, artificial intelligence and the third wave of digital era governance

Public Policy and Administration
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102
Evidence-backed gainPeer-reviewedEducation

In higher education, higher multimodal literacy, self-efficacy, and university support increased students' perceived usefulness and ease of use of AI tools, with perceived usefulness driving more positive attitudes and stronger intentions to adopt them.

Source article: Exploring AI tool adoption in higher education: evidence from a PLS-SEM model integrating multimodal literacy, self-efficacy, and university support

Frontiers in Psychology
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103
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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104
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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105
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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106
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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107
Evidence-backed gainPeer-reviewedBusiness

Generative AI allows businesses to create texts, images, audio, code and video with ease of use and intuitive interfaces, enabling development of new or improved business models.

Source article: The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective

Review of Managerial Science
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109
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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110
Evidence-backed gainPeer-reviewedScience

Genomic selection models including machine learning algorithms predicted PFR resistance in watermelon, achieving high cross-validated accuracy in the RIL population and capturing top-performing lines.

Source article: Machine Learning and Statistical Models for Genomic Selection of Phytophthora Fruit Rot Resistance in Watermelon

Phytopathology®
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111
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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112
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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113
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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114
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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115
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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116
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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117
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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118
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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119
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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120
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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