A causal inference approach for estimating effects of non-pharmaceutical interventions
- Vesna Resende Barros
- Itay Manes
- et al.
- 2022
- PLoS ONE
Bio
Dr. Michal Ozery-Flato is a research staff member in the AI for Accelerated HC&LS Discovery department in IBM Research-Israel. Since she joined IBM Research in 2009, Michal led various clinical data analysis projects in different disease areas and developed several machine learning and causal AI tools for large-scale biomedical data. Michal holds a BSc in Mathematics and Computer Science, and MSc and PhD in Computer Science, all from Tel Aviv University, Israel.
Publications
Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis
- Yoel Shoshan
- Ran Bakalo
- et al.
- 2022
- Radiology
Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization
- Michal Ozery-Flato
- Ora Pinchasov
- et al.
- 2021
- AMIA Annual Symposium 2021
Pre-biopsy multi-class classification of breast lesion pathology in mammograms
- Tal Tlusty
- Michal Ozery-Flato
- et al.
- 2021
- MLMI 2021
Framework for identifying drug repurposing candidates from observational healthcare data
- Michal Ozery-Flato
- Yaara Goldschmidt
- et al.
- 2020
- JAMIA Open
Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations
- Lior Ness
- Ella Barkan
- et al.
- 2020
- MICCAI 2020
Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data
- Michal Ozery-Flato
- Chen Yanover
- et al.
- 2017
- Stud. Health Technol. Informatics
Patents
- US
- 11237713
- US
- 10572822
- US
- 9189764
Top collaborators
MR
Michal Rosen-Zvi
Director, Healthcare and Life Sciences at IBM Research
EH
Efrat Hexter
STSM, Manager, AI for HCLS
YS
Yishai Shimoni
Manager and Senior Research Scientist, Causal Machine Learning for Healthcare
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