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@pyHealth @hpi-clinical-ocr @aim-rsf @ndpchs @OxHcAI @CoMPuTEprogramme

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sami5001/README.md

Sami Adnan

"We make our world significant by the courage of our questions,
and by the depth of our answers."

— Carl Sagan, Cosmos (1980)

Typing SVG

Website ORCID Google Scholar X Email


About

I am a DPhil candidate at the Nuffield Department of Primary Care Health Sciences, University of Oxford, and a member of Reuben College. My thesis develops clinical prediction models for hospitalisation and mortality in patients with multiple long-term conditions, with a reinforcement learning framework for adaptive model evaluation. My work sits at the intersection of clinical AI, human-centred design, and the design innovation — and is motivated by the belief that predictive systems should be built with, not simply for, the clinicians and patients who use them.

Research interests

Clinical AI Multimorbidity Bandit Learning Prediction Models Privacy-Preserving ML Human-Centred Design Philosophy of Technology

Selected publications

  • Implementation Framework for AI Deployment at Scale in Healthcare Systems
    Adnan HS, Shidani A, Clifton L, Bankhead CR, Perera-Salazar R. iScience, 2025. [DOI]

  • HcAI Bootcamp: Innovating Healthcare via Human-Centred AI Design Approach
    Adnan HS, Sirka Kacafírková K, Edelman JA, Jacobs A, Bankhead CR, Perera-Salazar R. SSRN, 2025. [DOI]

  • Artificial Intelligence in Addressing Multiple Long-Term Conditions: A Scoping Review
    Adnan HS, Pidduck N, Bankhead CR, Perera-Salazar R. OSF, 2022. [DOI]

View full list on Google Scholar →

Currently

  • Finishing the final chapters of my DPhil thesis on clinical predictive systems for multimorbidity.

GitHub stats

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  1. parquet-converter parquet-converter Public

    Python utility to convert TXT and CSV files to Parquet

    Python 1

  2. graphical-abstract-converter graphical-abstract-converter Public

    This tool converts images to the exact specifications required by Cell Press journals, specifically designed for the iScience journal's graphical abstract requirements. It handles various input for…

    Python 1

  3. pyHealth/DL_Qualitative-Data-Analysis pyHealth/DL_Qualitative-Data-Analysis Public

    Deep Neural Networks for Qualitative Data Analysis in Medical Research

  4. samiCloud samiCloud Public

    My personal webspace

    HTML

  5. reinforcement-learning reinforcement-learning Public

    Forked from dennybritz/reinforcement-learning

    Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

    Jupyter Notebook

  6. ResearchKit ResearchKit Public

    Forked from ResearchKit/ResearchKit

    ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.

    Objective-C 1