5 papers
Answering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models
Manan Roy Choudhury, Suparno Roy Chowdhury, Swastik Sahoo +5
Systematic reviews condense clinical trials into evidence tables, yet clinicians can interrogate these tables only through database queries, and many questions concern attributes t…
SentryLine: Evidence-Grounded Question Answering over Evolving Documents in Oncology Care
Tampu Ravi Kumar, Gaurav Najpande, Muhammad Ali Khan +7
Oncology care operates at constant pressure of absorbing rapidly evolving evidence base in biomedicine. The American Society of Clinical Oncology (ASCO) addresses this through livi…
SCOPE:Planning for Hybrid Querying over Clinical Trial Data
Suparno Roy Chowdhury, Manan Roy Choudhury, Tejas Anvekar +5
We study clinical trial table reasoning, where answers are not directly stored in visible cells but must be reasoned from semantic understanding through normalization, classificati…
EviSearch: Trustworthy Extraction and Synthesis of Clinical Trial Evidence with Agents that Improve with Use
Naman Ahuja, Saniya Mulla, Abhijit Chakraborty +6
Structured extraction of evidence from clinical trial publications underpins systematic reviews and clinical guidelines, yet large language models are adopted for it only hesitantl…
FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use
Suparno Roy Chowdhury, Tejas Anvekar, Manan Roy Choudhury +5
Clinicians exploring oncology trial repositories often need ad-hoc, multi-constraint queries over biomarkers, endpoints, interventions, and time, yet writing SQL requires schema ex…