Syed-Amad Hussain

Computer Science · The Ohio State University

Established · publishing since 1994Rising activity

Topic Modeling Digital Mental Health Interventions Biomedical Text Mining and Ontologies Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare

Publications

Citations

102

Est. group size

Recurring co-author estimate

Active years

Publishing since 1994

Research summary

AI-generated

Syed-Amad Hussain works on applying natural language processing (NLP) and large language models (LLMs) to health-related text, including extracting medical information from patient notes, evaluating chatbot safety in health conversations, and studying how AI systems can assess their own performance. This research sits at the intersection of AI, healthcare, and text mining, with a focus on making language technologies more reliable and useful in clinical and patient-facing settings.

Natural language processing for healthcareLarge language models and chatbotsMedical text and information extractionAI trustworthiness and evaluationBiomedical text mining

Output was modest and irregular through the mid-2010s to early 2020s but has increased sharply in 2025-2026, suggesting a recent growth in publication activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 3.6/year recently

Recent publications

Toward trustworthy chatbots: a protocol for red teaming for health related conversations
Scientific Reports · 2026
Simulated Self-Assessment in Large Language Models: A Psychometric Approach to AI Self-Efficacy
arXiv (Cornell University) · 2025
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data
JMIR Formative Research · 2023
Towards leveraging LLMs for Conditional QA
arXiv (Cornell University) · 2023
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data (Preprint)
2022
Performance Evaluation of Extracting Medical Information from Patient Notes using Natural Language Processing Methods (Preprint)
2022
A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study
JAMIA Open · 2021
Char2Vec: Learning the Semantic Embedding of Rare and Unseen Words in the Biomedical Literature.
AMIA · 2018
Lexical Networks in !Xung and Ju
The Knowledge Bank (The Ohio State University) · 2018

Publishes in

medRxiv×6
SLEEP×3
arXiv (Cornell University)×2
JMIR Formative Research×1
JMIR Pediatrics and Parenting×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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