Jung, Kenneth
Stanford University
7 papers on CoChatORCID 0000-0001-8203-2513
Most cited papers
- Verified
Do no harm: a roadmap for responsible machine learning for health care
Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., et al. (2019) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 1,266
- Verified
Finding missed cases of familial hypercholesterolemia in health systems using machine learning
Banda, J. M., Sarraju, A., Abbasi, F., Parizo, J., Pariani, M., Ison, H., Briskin, E., Wand, H., Dubois, S., Jung, K., et al. (2019) · npj Digital Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 123
- Verified
Rapid identification of slow healing wounds
Jung, K., Covington, S., Sen, C. K., Januszyk, M., Kirsner, R. S., Gurtner, G. C., & Shah, N. H. (2016) · Wound Repair and Regeneration
Wound Healing and TreatmentsArtificial Intelligence in Healthcare
Cited by 100
- Verified
The STARD9/Kif16a Kinesin Associates with Mitotic Microtubules and Regulates Spindle Pole Assembly
Torres, J. Z., Summers, M. K., Peterson, D., Brauer, M. J., Lee, J., Senese, S., Gholkar, A. A., Lo, Y.-C., Lei, X., Jung, K., et al. (2011) · Cell
Microtubule and mitosis dynamicsCancer Treatment and Pharmacology
Cited by 80
- Verified
Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative
Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open
Diabetes Treatment and ManagementDiabetes Management and Research
Cited by 61
- Verified
Performing an Informatics Consult: Methods and Challenges
Schuler, A., Callahan, A., Jung, K., & Shah, N. H. (2018) · Journal of the American College of Radiology
Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education
Cited by 37
- Verified
Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service
Callahan, A., Gombar, S., Cahan, E. M., Jung, K., Steinberg, E., Polony, V., Morse, K., Tibshirani, R., Hastie, T., Harrington, R., et al. (2021) · NEJM Catalyst
Electronic Health Records SystemsMachine Learning in Healthcare
Cited by 24
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