Ahmed M. Alaa

Limitations of large language models in clinical problem-solving arising from inflexible reasoning

Generative AI enables medical image segmentation in ultra low-data regimes

Evaluating large language models as agents in the clinic

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database

Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors

Machine learning to guide the use of adjuvant therapies for breast cancer

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges

Between-centre differences for COVID-19 ICU mortality from early data in England

Retrospective cohort study of admission timing and mortality following COVID-19 infection in England

CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

Attentive State-Space Modeling of Disease Progression

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning

Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design.

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes