EurekAlert!

A comprehensive review charts how psychiatry could finally diagnose what it actually treats

Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across ...
Communications of the ACM

Measuring What Matters in Large Language Model Performance

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
IEEE

SH-RAG: A Syntax-Based Hierarchical Retrieval-Augmented Generation Framework for Handling Syntactic Complexity in Literary Machine Translation

Abstract: With the rapid advancements in machine translation (MT), large language models (LLMs) have demonstrated the ability to generate high-quality translations with relatively low computational ...
The Lancet

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

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Statistical Machine Translation for Multilingual Access to Medical AI Education Content

Abstract: Statistical Machine Translation (SMT), as part of an overall human-centered machine translation process, provides a significant opportunity for multilingual access to digital content, such ...