Thomas F Heston MD

Artificial Intelligence


April 25, 2024

Integrating Large Language Models and Blockchain Technology for Enhanced Telemedicine

The integration of large language models (LLMs) and blockchain technology holds significant potential for transforming telemedicine. LLMs can rapidly analyze vast amounts of medical data, providing personalized recommendations and augmenting diagnostic processes. Blockchain technology enables secure, decentralized storage and sharing of patient records, ensuring privacy and interoperability. The synergistic combination of these technologies can facilitate…


April 17, 2024

ChatGPT Provides Inconsistent Risk Stratification for Patients with Atraumatic Chest Pain

A recent study investigated ChatGPT-4’s ability to risk-stratify patients with atraumatic chest pain. The researchers found that while ChatGPT-4’s mean risk scores correlated well with established tools like TIMI and HEART, the AI model provided inconsistent results when presented with identical patient data on multiple occasions. This variability raises concerns about the reliability of using…


March 21, 2024

Blockchain and AI: A Synergistic Solution to Climate Change

The integration of blockchain technology and artificial intelligence (AI) offers a transformative approach to addressing climate change. Blockchain ensures climate data’s transparency, integrity, and security, while AI, particularly large language models (LLMs), harnesses this data to generate deep insights and actionable intelligence. Together, they enhance data management, improve climate models, and facilitate evidence-based policymaking. This…


March 13, 2024

Beware online mental health chatbots, specialists warn

https://newsroom.uw.edu/blog/beware-online-mental-health-chatbots-specialists-warn


December 18, 2023

Large language models may inadequately address mental health crises

This study evaluated the safety of AI chatbots built on ChatGPT for handling mental health risk scenarios. I gave the chatbots simulated conversations indicating escalating depression and suicide risk. The chatbots frequently postponed referring users to human support until dangerously high-risk levels. Most failed to provide crisis resources. The findings suggest overly optimistic views of…