Research

Clinical AI systems in practice

I build end-to-end clinical AI systems that prioritize measurable outcomes, transparent evaluation, and real-world deployment constraints. My current work includes nephrology, intensive care, cardiology, and infectious diseases research.

Research themes

Clinical AI

Cardiology / Nephrology / ICU deterioration / Physiologic signals

Epidemiology

Outbreak research / Population risk / Surveillance

Systems

Hardware-software integration / Deployment safety / Real-world evaluation

NLP + LLMs

Clinical NLP / BERT pipelines / Retrieval + evaluation

Publications

Journal article2026Journal of Clinical Medicine

Prognostic Value of Different Iron Status Definitions in Congestive Heart Failure: A Retrospective MIMIC-IV Analysis of Risk Stratification and Mortality

Retrospective MIMIC-IV analysis of congestive heart failure compares multiple iron-status definitions. It evaluates ferritin and transferrin saturation criteria for 1-year mortality risk stratification. Combined ferritin and TSAT categories improve separation between iron deficiency and hyperferritinemia. The study argues for more precise phenotyping to guide prognostic assessment.

DOI: 10.3390/jcm15010244

SOURCE-WORK-ID: 13c45e33-ff6f-485a-bfa9-403fdbba3f82

ISSN: 2077-0383

Source: Medical University of Warsaw, Poland - WUM.Publikacje

Contributors: Hourani A; Surmeli A; Devarapalli S

Journal article2025Journal of Clinical Medicine

Clinical Picture and Outcomes in Patients Diagnosed with Brain Abscess

Retrospective cohort study characterizes the clinical presentation and outcomes of patients with brain abscess. It evaluates factors linked to hospitalization course and overall prognosis. Age and abscess size are highlighted as drivers of longer hospital stay. The work underscores the importance of early recognition and coordinated management for CNS infection.

DOI: 10.3390/jcm14207237

SOURCE-WORK-ID: ad3005e4-6b88-44d8-a67d-dff59f44be86

ISSN: 2077-0383

PMID: 41156107

WOSUID: WOS:001601753900001

EID: 2-s2.0-105020200936

Source: Medical University of Warsaw, Poland - WUM.Publikacje

Contributors: Furman-Dlubala A; Bednarska A; Radkowski M; Paciorek M; Kolodziejska J; Laskus T; Bursa D; Porowski D; Makowiecki M; Hourani A et al.

Preprint2025-05-22

HALP and mHALP as Effective Tools for 90-Day Mortality Prediction in Heart Failure

Retrospective MIMIC-IV analysis evaluates HALP and modified HALP scores in heart failure. It compares their ability to predict 90-day mortality using risk modeling. Lower scores are associated with higher mortality and mHALP performs better than HALP. The preprint proposes these indices as accessible tools for early risk stratification.

DOI: 10.1101/2025.05.22.25328139

Source: Crossref

Contributors: Abdulla Hourani; Arman David Surmeli; Sai Keertana Devarapalli; Michal Oreziak

Preprint2025-03-10

The Impact of COVID-19 Non-Pharmaceutical Interventions on Notifiable Infectious Diseases in Poland: A Comprehensive Analysis from 2014-2022

Comprehensive analysis of notifiable infectious disease trends in Poland from 2014 to 2022. It examines patterns across the period that includes COVID-19 non-pharmaceutical interventions. The study frames how population-level measures coincide with shifts in reported incidence across diseases. It aims to inform surveillance and long-term public health planning.

DOI: 10.1101/2025.03.05.25323398

Source: Crossref

Contributors: Abdulla Hourani; Abdelrahman Abdelsalman; Arman David Surmeli

Preprint2025-03-06

Prognostic Value of Different Iron Status Definitions in Congestive Heart Failure: A Retrospective MIMIC-IV Analysis of Risk Stratification and Mortality

Retrospective MIMIC-IV preprint investigates iron-status definitions in congestive heart failure. It tests ferritin and transferrin saturation thresholds against mortality outcomes. Combined ferritin-TSAT categories provide clearer risk stratification signals. The work presents early findings ahead of journal publication.

DOI: 10.1101/2025.03.05.25323191

Source: Crossref

Contributors: Abdulla Hourani; Arman David Surmeli; Sai Keertana Devarapalli

Tools and repos

Reproducible pipelines, local LLM toolchains, and ML ops tooling.

GitHub links will be added as projects are shared publicly.

Collaboration interests

I partner with clinicians, researchers, and health systems looking to validate AI workflows in real practice.

If you are exploring clinical AI deployment, send a note to hourani03@gmail.com.