Publications & scholarship

Papers

Explore the lab’s publications across benchmarking, trustworthy clinical AI, biomedical knowledge engineering, predictive analytics, and semantic interoperability.

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Related research

Benchmarking

Data and Benchmarking

Benchmark-oriented scholarship evaluating clinical AI readiness, interoperability, and biomedical data infrastructure.

Benchmarking

medRxiv · 2026

FHIRTrustBench: A Benchmark for Interoperability-Driven Clinical AI Readiness and Trustworthiness

A benchmark for assessing FHIR-based clinical AI readiness across complementary interoperability and trustworthiness dimensions.

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Benchmarking

The Web Conference · 2019

How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benchmarks

A peer-reviewed analysis of SPARQL benchmark representativeness, RDF workloads, and triplestore performance characteristics.

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Benchmarking

Release candidate · 2026

SynTrustBench: A Trustworthiness Evidence Standard for Synthetic Clinical Data

A benchmark specification and pilot evidence audit for evaluating trustworthiness claims in synthetic clinical data across fidelity, clinical utility, privacy, equity, and robustness.

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Research highlights

Selected Recent Work

Clinical AI

arXiv · 2026

Graph-Constrained Policy Learning for Extreme Clinical Code Prediction

Models ICD-10-CM prediction as graph-constrained traversal through a pruned code hierarchy.

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Predictive Analytics

arXiv · 2025

Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records

Predicts multiple care-escalation triggers using the first 24 hours of ICU electronic health record data.

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Precision Medicine

arXiv · 2025

A Machine Learning Framework for Pathway-Driven Therapeutic Target Discovery in Metabolic Disorders

Combines predictive modeling with pathway mapping to study metabolic-disorder risk and potential therapeutic targets.

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Clinical NLP

FLAIRS · 2026

A Narrative-Driven Computational Framework for Clinician Burnout Surveillance

Uses ICU clinical narratives, lexical stress signals, topic modeling, and workload proxies to support burnout surveillance research.

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Publication record

All Publications

Google Scholar profile

56 publications Newest first

Clinical & Health AI 2026

Graph-Constrained Policy Learning for Extreme Clinical Code Prediction

Amritpal Singh, Sebastian Torres, Khawar Shakeel, Syed Ahmad Chan Bukhari

arXiv 15 Jul 2026

clinical AI medical coding

Papers

Data and Benchmarking

Selected Recent Work

All Publications

Semantic enrichment and similarity approximation for biomedical sequence images

Ontology Learning: Information Logistic

Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making

The Canadian health census as Linked Open Data: towards policy making in public health

Personalized Information Seeking Powered by Mobile Ontology for Sightless Residents of under Developing States

Next-generation semantic search platform for biomedical images

An Interoperable Framework for Biomedical Image Retrieval and Knowledge Discovery

Towards Ontological Mapping of Immunological Data Standards

Role of Telemedicine in Developed and Under-Developed Countries

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