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

📖📖 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 06 Sep 2023 - 1 minute read

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

📖📖 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 18 Jun 2023 - less than 1 minute read

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

📖📖 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 13 Apr 2023 - 1 minute read

Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking

📖📖 Paper Synopsis: Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking Abstract We adapt image inpainting techniques to impute large, irregular missing regions in urban settings characterized by sparsity, variance in both space and time, and anomalous events. Missing regions in urban data can be ... Read more 01 Jan 2023 - 1 minute read

Integrative Urban AI to Expand Coverage, Access, and Equity of Urban Data

📖📖 Paper Synopsis: Integrative urban AI to expand coverage, access, and equity of urban data Abstract We consider the use of AI techniques to expand the coverage, access, and equity of urban data. We aim to enable holistic research on city dynamics, steering AI research attention away from profitoriented, societally harmful applications (e.g., ... Read more 09 Apr 2022 - less than 1 minute read