July 07, 2025 article Open access A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology Renal Failure DOI: 10.1080/0886022x.2025.2513002 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 17 References 5 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods 2024 BMJ article Decision Sciences Meta-analysis and systematic reviews Open access cited by 3 patents 3,889 citations Calculating the sample size required for developing a clinical prediction model 2020 BMJ article Mathematics Statistical Methods in Epidemiology Open access 2,902 citations Evaluation of clinical prediction models (part 1): from development to external validation 2024 BMJ article Mathematics Statistical Methods in Epidemiology Open access 737 citations Artificial intelligence and machine learning in nephropathology 2020 Kidney International article Computer Science AI in cancer detection Open access 114 citations The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease 2025 PROTEOMICS article Medicine Chronic Kidney Disease and Diabetes Open access 30 citations 5 results