Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
34 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on healthcare
34 notes, page 2 of 2
SIMAX: A Scalable and Interpretable Framework for Multi-Fidelity and Annotated Clinician-Patient Dialogue Simulation
The study introduces SIMAX, a framework that generates controlled clinical dialogue data with reference behavioral annotations for evaluating AI-driven communication coding systems. The generated dialogues are of…
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
A new synthetic clinical notes pipeline is introduced to generate a dataset that can be used for developing and evaluating AI tools in healthcare. The pipeline generates structured patient information, simulates…
A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models
A new pipeline for creating synthetic clinical notes is introduced to help develop AI systems in healthcare without compromising privacy. The pipeline generates structured, semi-structured, and unstructured clinical…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
Researchers analyzed over 15,000 user reviews from 59 AI healthcare chatbot apps to understand the performance of these systems in everyday use. They identified three main issues: access barriers and service…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
This study analyzes over 15,000 user reviews of AI healthcare chatbot apps to identify common issues reported by users. The research found three main breakdowns: access barriers and service unreliability, user…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
This research study examines over 15,000 user reviews of AI healthcare chatbot apps to identify common breakdowns in their performance. The study found three main issues: access barriers, service unreliability, user…
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
A study analyzing over 15,000 user reviews of AI healthcare chatbot apps found recurring issues with access barriers, service unreliability, user experience, interaction quality, billing, and customer support. Privacy…
Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment
Researchers evaluate the accuracy and quality of conversations between developers and a Language Model (LLM)-based agent in the context of Health Insurance Portability and Accountability Act (HIPAA) regulatory…
DeepBD: A Grounded Agentic Workflow for Variant Prioritization and Diagnosis of Genetic Birth Defects
Researchers present DeepBD, an AI system designed to help diagnose genetic birth defects by prioritizing patient-specific candidate variants. The system uses a workflow with various components such as rule evidence…
PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support
The study introduces PsyBridge, a hybrid intelligent framework aimed at improving the multi-dimensional assessment of mental health by integrating clinically validated screening tools, cognitive evaluations, and…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
