Thomas F Heston MD


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…


April 8, 2024

The Blockchain-Based Scientific Study: Reducing Bias and Improving Trust in Research

The traditional scientific study suffers from biases introduced by pharmaceutical companies, academics, and journal editors. These biases can lead to bad science and erode trust in research. However, blockchain technology offers a solution. By recording research data on an immutable, publicly available blockchain, bias can be reduced and trust restored. The blockchain-based scientific study involves…


April 2, 2024

Critical Gaps in Medical Research Reporting by Online News Media

This study reveals significant shortcomings in reporting medical research by online news outlets. The study found that crucial information such as conflicts of interest, study limitations, and inferential statistics were frequently omitted from news reports. While research conclusions were generally conveyed accurately, underreporting these key elements raises concerns about the transparency and credibility of medical…