AIMC Topic: Reproducibility of Results

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Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images.

Scientific reports Jul 8, 2025
Detecting skin melanoma in the early stage using dermoscopic images presents a complex challenge due to the inherent variability in images. Utilizing dermatology datasets, the study aimed to develop Automated Diagnostic Systems for early skin cancer ...
Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Humans Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer
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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data.

Scientific reports Jul 8, 2025
Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. Early and accurate diagnosis is crucial for effective management and treatment. This study investigates the application of...
Humans Machine Learning Algorithms Adult Biomechanical Phenomena Female Cornea Adolescent Early Diagnosis Reproducibility of Results Male Keratoconus Young Adult Corneal Topography
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AI in Qualitative Health Research Appraisal: Comparative Study.

JMIR formative research Jul 8, 2025
BACKGROUND: Qualitative research appraisal is crucial for ensuring credible findings but faces challenges due to human variability. Artificial intelligence (AI) models have the potential to enhance the efficiency and consistency of qualitative resear...
Qualitative Research Artificial Intelligence Humans Reproducibility of Results
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Validation of The Umbrella Collaboration for Tertiary Evidence Synthesis in Geriatrics: Mixed Methods Study.

JMIR formative research Jul 8, 2025
BACKGROUND: The synthesis of evidence in health care is essential for informed decision-making and policy development. This study aims to validate The Umbrella Collaboration (TU), an innovative, semiautomated tertiary evidence synthesis methodology, ...
Research Design Geriatrics Reproducibility of Results Evidence-Based Medicine Humans Artificial Intelligence
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Assessment of Recommendations Provided to Athletes Regarding Sleep Education by GPT-4o and Google Gemini: Comparative Evaluation Study.

JMIR formative research Jul 8, 2025
BACKGROUND: Inadequate sleep is prevalent among athletes, affecting adaptation to training and performance. While education on factors influencing sleep can improve sleep behaviors, large language models (LLMs) may offer a scalable approach to provid...
Internet Athletes Humans Sleep Health Education Reproducibility of Results Male
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Renal failure Jul 7, 2025
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models...
Nephrology Nephrologists Humans Artificial Intelligence Machine Learning Renal Insufficiency, Chronic Peer Review, Research Acute Kidney Injury Reproducibility of Results
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Whole‑exome evolutionary profiling of osteosarcoma uncovers metastasis‑related driver mutations and generates an independently validated predictive classifier.

Journal of translational medicine Jul 7, 2025
BACKGROUND: Osteosarcoma is the most common primary malignant bone tumor, with high invasiveness and metastatic potential and a poor prognosis in patients with metastatic cancer. Despite the rapid advancements in genomics in recent years that provide...
Neoplasm Metastasis Exome Sequencing Exome Bone Neoplasms Evolution, Molecular Humans Mutation Female Reproducibility of Results Adolescent Osteosarcoma Adult Male
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Multi-omics integration and machine learning uncover molecular basal-like subtype of pancreatic cancer and implicate A2ML1 in promoting tumor epithelial-mesenchymal transition.

Journal of translational medicine Jul 4, 2025
BACKGROUND: Pancreatic cancer (PC) represents a highly heterogeneous malignancy with poor prognosis, where precise molecular subtyping facilitates comprehensive understanding of disease progression.
Epithelial-Mesenchymal Transition Disease Progression Female Humans DNA Methylation Gene Expression Profiling Multiomics Reproducibility of Results Machine Learning Pancreatic Neoplasms Gene Expression Regulation, Neoplastic Cell Line, Tumor Prognosis Male
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Uncovering key markers and therapeutic targets for renal fibrosis in diabetic kidney disease through bulk and single-cell RNA sequencing.

Journal of translational medicine Jul 4, 2025
BACKGROUND: Diabetic kidney disease (DKD) is the major cause of chronic kidney failure, with tubulointerstitial fibrosis playing a crucial role in disease development. Identifying fibrosis-related genes is crucial for improving diagnosis and developi...
Fibrosis Molecular Targeted Therapy Reproducibility of Results Animals Diabetic Nephropathies Sequence Analysis, RNA Humans Male Single-Cell Analysis Kidney Mice, Inbred C57BL Molecular Docking Simulation Biomarkers Gene Regulatory Networks Mice
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BMC cardiovascular disorders Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Female Reproducibility of Results Risk Factors Male Middle Aged Aged Aged, 80 and over Cause of Death Machine Learning Atrial Fibrillation Risk Assessment Heart Failure Decision Support Techniques Boosting Machine Learning Algorithms Prognosis Humans Time Factors Retrospective Studies Predictive Value of Tests
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