Lindvall, Charlotta

TSC2 Integrates Wnt and Energy Signals via a Coordinated Phosphorylation by AMPK and GSK3 to Regulate Cell Growth

Inoki, K., Ouyang, H., Zhu, T., Lindvall, C., Wang, Y., Zhang, X., Yang, Q., Bennett, C., Harada, Y., Stankunas, K., et al. (2006) · Cell

PI3K/AKT/mTOR signaling in cancerTuberous Sclerosis Complex Research

Cited by 1,377

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Waring, J., Lindvall, C., & Umeton, R. (2020) · Artificial Intelligence in Medicine

Machine Learning and Data ClassificationArtificial Intelligence in Healthcare and Education

Cited by 834

Telomerase reverse transcriptase promotes epithelial-mesenchymal transition and stem cell-like traits in cancer cells

Liu, Z., Li, Q., Li, K., Chen, L., Li, W., Hou, M., Liu, T., Yang, J., Lindvall, C., Björkholm, M., et al. (2013) · Oncogene

Cancer Cells and MetastasisTelomeres, Telomerase, and Senescence

Cited by 276

Latent bias and the implementation of artificial intelligence in medicine

DeCamp, M., & Lindvall, C. (2020) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 198

Natural language processing to identify advance care planning documentation in a multisite pragmatic clinical trial

Lindvall, C., Deng, C.-Y., Moseley, E., Agaronnik, N., El-Jawahri, A., Paasche-Orlow, M. K., Lakin, J. R., Volandes, A., & Tulsky, T. A.-P. I. (2022) · Journal of Pain and Symptom Management

Palliative Care and End-of-Life IssuesElectronic Health Records Systems

Cited by 91

Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records

Forsyth, A. W., Barzilay, R., Hughes, K. S., Lui, D., Lorenz, K. A., Enzinger, A., Tulsky, J. A., & Lindvall, C. (2018) · Journal of Pain and Symptom Management

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 83

Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions

Chan, A., Chien, I., Moseley, E., Salman, S., Kaminer Bourland, S., Lamas, D., Walling, A. M., Tulsky, J. A., & Lindvall, C. (2019) · Palliative Medicine

Machine Learning in HealthcarePalliative Care and End-of-Life Issues

Cited by 56

Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer

Agaronnik, N., Lindvall, C., El-Jawahri, A., He, W., & Iezzoni, L. (2020) · JAMA Oncology

Nursing Diagnosis and DocumentationMedical Coding and Health Information

Cited by 31

An Intervention to Increase Advance Care Planning Among Older Adults With Advanced Cancer: A Randomized Clinical Trial

Volandes, A. E., Chang, Y., Lakin, J. R., Paasche-Orlow, M. K., Lindvall, C., Zupanc, S. N., Martins-Welch, D., Carney, M. T., Burns, E. A., Itty, J., et al. (2025) · JAMA Network Open

Palliative Care and End-of-Life IssuesPatient-Provider Communication in Healthcare

Cited by 24

Identification of serious illness conversations in unstructured clinical notes using deep neural networks

Chien, I., Shi, A., Chan, A., & Lindvall, C. (2019) · Lecture Notes in Computer Science

Machine Learning in HealthcarePalliative Care and End-of-Life Issues

Cited by 9