210 results on '"Beam, Andrew L."'
Search Results
2. Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
3. Artificial intelligence in the neonatal intensive care unit: the time is now
4. TIER: Text-Image Entropy Regularization for CLIP-style models
5. Illuminating protein space with a programmable generative model
6. Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features
7. Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
8. MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
9. Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
10. Prediction of extubation failure among low birthweight neonates using machine learning
11. Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
12. Learning Contextual Hierarchical Structure of Medical Concepts with Poincair\'e Embeddings to Clarify Phenotypes
13. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
14. Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
15. A Review of Challenges and Opportunities in Machine Learning for Health
16. Adversarial Attacks Against Medical Deep Learning Systems
17. Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data
18. Auditory Brainstem Response in Infants and Children with Autism: A Meta-Analysis
19. PD(AI): the role of artificial intelligence in the management of patent ductus arteriosus
20. Correction to: Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
21. Statin Twitter: Human and Automated Bot Contributions, 2010 to 2022
22. The false hope of current approaches to explainable artificial intelligence in health care
23. What We Want to Publish at NEJM AI
24. Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical data
25. Medication utilization in children born preterm in the first two years of life
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. Bayesian Neural Networks for Genetic Association Studies of Complex Disease
30. Fast Hamiltonian Monte Carlo Using GPU Computing
31. Second opinion needed: communicating uncertainty in medical machine learning
32. Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008–2016
33. Effectiveness of 17-OHP for Prevention of Recurrent Preterm Birth: A Retrospective Cohort Study.
34. Artificial intelligence in healthcare
35. Machine Learning and Statistics in Clinical Research Articles—Moving Past the False Dichotomy
36. Machine Learning in Clinical Journals: Moving From Inscrutable to Informative
37. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence
38. Artificial Intelligence in Medicine
39. Fast Hamiltonian Monte Carlo Using GPU Computing
40. Utilization, Cost, and Outcome of Branded vs Compounded 17-Alpha Hydroxyprogesterone Caproate in Prevention of Preterm Birth
41. Development of an Algorithm to Identify Patients with Physician-Documented Insomnia
42. Regional differences in utilization of 17α-hydroxyprogesterone caproate (17-OHP)
43. Cost Savings Without Increased Risk of Respiratory Hospitalization for Preterm Children after the 2014 Palivizumab Policy Update
44. Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI (Nature Medicine, (2022), 28, 5, (924-933), 10.1038/s41591-022-01772-9)
45. Effectiveness of 17-OHP for Prevention of Recurrent Preterm Birth: A Retrospective Cohort Study
46. Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
47. 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
48. Natural language processing and its role in spine surgery: A narrative review of potentials and challenges
49. Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?
50. 534 Regional differences in utilization of 17α-hydroxyprogesterone caproate (17OHP)
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