Bin Han

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

πŸ“–πŸ“– Paper Synopsis: Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings The rapid proliferation of generative AI has raised questions about the competitiveness of lower-parameter, locally tunable, open-weight models relative to high-parameter, API-guarded, closed-weight models in terms of performanc... Read more

Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology

πŸ“–πŸ“– Paper Synopsis: Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology An invasive species of grass known as β€œbuffelgrass” contributes to severe wildfires and biodiversity loss in the Southwest United States. We tackle the problem of predicting buffelgrass β€œgreen-ups” (i.e. readiness for herbicidal treatment).... Read more

HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers

πŸ“–πŸ“– Paper Synopsis: HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers Documentation burnout contributes to clinician job dissatisfaction, and clinical notes often omit salient information. The automatic generation of notes from doctor-patient conversations using a computerized medical scribe, referred to as a Digit... Read more

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

πŸ“–πŸ“– Paper Synopsis: Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning Social determinants of health (SDOH) documented in the electronic health record through unstructured text are increasingly being studied to understand how SDOH impacts patient health outcomes. In this work, we utilize the Social History Annotatio... Read more

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

πŸ“–πŸ“– Paper Synopsis: LeafAI: query generator for clinical cohort discovery rivaling a human programmer Objective: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive technical and biomedical expertise. We sought to create a system capabl... Read more