48 results on '"Beam, Andrew L."'
Search Results
2. Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022
3. What We Want to Publish at NEJM AI
4. Illuminating protein space with a programmable generative model
5. Machine Learning and Statistics in Clinical Research Articles—Moving Past the False Dichotomy
6. Artificial Intelligence in Medicine
7. Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
8. PD(AI): the role of artificial intelligence in the management of patent ductus arteriosus
9. Prediction of extubation failure among low birthweight neonates using machine learning
10. Regional differences in utilization of 17α-hydroxyprogesterone caproate (17-OHP)
11. Cost Savings Without Increased Risk of Respiratory Hospitalization for Preterm Children after the 2014 Palivizumab Policy Update
12. Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
13. Effectiveness of 17-OHP for Prevention of Recurrent Preterm Birth: A Retrospective Cohort Study
14. Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
15. The false hope of current approaches to explainable artificial intelligence in health care
16. Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical data
17. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
18. Natural language processing and its role in spine surgery: A narrative review of potentials and challenges
19. Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?
20. Medication utilization in children born preterm in the first two years of life
21. 534 Regional differences in utilization of 17α-hydroxyprogesterone caproate (17OHP)
22. Second opinion needed: communicating uncertainty in medical machine learning
23. Estimates of Healthcare Spending for Preterm and Low-Birthweight Infants in a Commercially Insured Population: 2008–2016
24. Statistical Physics for Medical Diagnostics: Learning, Inference, and Optimization Algorithms
25. Machine Learning in Clinical Journals
26. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
27. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
28. Machine learning on drug-specific data to predict small molecule teratogenicity
29. Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008–2016
30. Challenges to the Reproducibility of Machine Learning Models in Health Care
31. Machine learning on drug-specific data to predict small molecule teratogenicity
32. Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
33. Concordance between gene expression in peripheral whole blood and colonic tissue in children with inflammatory bowel disease
34. Practical guidance on artificial intelligence for health-care data
35. Adversarial attacks on medical machine learning
36. Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes
37. Artificial intelligence in healthcare
38. Medical journals should embrace preprints to address the reproducibility crisis
39. Development of an Algorithm to Identify Patients with Physician-Documented Insomnia
40. Utilization, Cost, and Outcome of Branded vs Compounded 17-Alpha Hydroxyprogesterone Caproate in Prevention of Preterm Birth
41. Auditory brainstem response in infants and children with autism spectrum disorder: A meta-analysis of wave V
42. Predictive Modeling of Physician-Patient Dynamics That Influence Sleep Medication Prescriptions and Clinical Decision-Making
43. Translating Artificial Intelligence Into Clinical Care
44. Fast Hamiltonian Monte Carlo Using GPU Computing
45. An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics
46. Bayesian neural networks for detecting epistasis in genetic association studies
47. Optimization of Nonlinear Dose- and Concentration-Response Models Utilizing Evolutionary Computation
48. Xenobiotic-Metabolizing Enzyme and Transporter Gene Expression in Primary Cultures of Human Hepatocytes Modulated by Toxcast Chemicals
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