The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
ascopubs.org

Assessing Large Language Models for Oncology Data Inference From Radiology Reports

Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score We analyzed 203 ...
insideHPC

MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed

A new technique enables users to compare several large models and choose the one that works best for their task. Foundation models are massive deep-learning models that have been pretrained on an ...

What is Compare AI Models? Everything we know about the really useful AI model comparison tool

Compare AI Models is a web-based tool designed to help you evaluate and compare different AI models based on key performance ...
TechCrunch

Many safety evaluations for AI models have significant limitations

Despite increasing demand for AI safety and accountability, today’s tests and benchmarks may fall short, according to a new report. Generative AI models — models that can analyze and output text, ...
TechCrunch

NIST releases a tool for testing AI model risk

The National Institute of Standards and Technology (NIST), the U.S. Commerce Department agency that develops and tests tech for the U.S. government, companies and the broader public, has re-released a ...
BMJ

576 FO27 – Evaluation of a machine learning models to assess postural orientation errors during a single-leg squat

Background Measures of postural orientation (i.e., the ability to align body segments in relation to each other) are needed because undesirable postural orientation is a potential risk factor for ...