1 citations · 1 across the 5 of their papers we have counts for
5 papers
MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination
Saisha Shetty, Satvik Tripathi, Austin Lin +6
We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM prompting with deterministic multi-agent orchestration for clinical…
SPARC-Rad: A Multimodal Benchmark Dataset and Evaluation Pipeline for Spatial and Anatomical Reasoning in Radiology Vision-Language Models
Satvik Tripathi, Mustafa Ege Seker, Kristian Quevada +8
Vision-language models (VLMs) are increasingly being evaluated for medical imaging, but many available benchmarks emphasize disease classification, report generation, or broad visu…
CheckSupport: A Local LLM-Powered Tool for Automated Manuscript Submission Checklist Selection and Completion
Satvik Tripathi, Don Enwerem, Kevin Song +3
Transparent and standardized reporting is essential for reproducible scientific research, yet adherence to reporting guidelines remains inconsistent because of the manual effort re…
Logic Sketch Prompting (LSP): A Deterministic and Interpretable Prompting Method
Satvik Tripathi
Large language models (LLMs) excel at natural language reasoning but remain unreliable on tasks requiring strict rule adherence, determinism, and auditability. Logic Sketch Prompti…
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care
Satvik Tripathi, Liam Mutter, Meghana Muppuri +8
This study introduces and evaluates the PRECISE framework, utilizing OpenAI's GPT-4 to enhance patient engagement by providing clearer and more accessible chest X-ray reports at a…