TL;DR
This study demonstrates that deterministic AI can safely automate high-volume clinical pathways with 100% accuracy, providing a “glass-box” alternative to traditional AI models.
LLM-generated treatment recommendations demonstrated moderate alignment with MDT decisions in HPB oncology, indicating that concordance alone is insufficient for evaluating LLMs as clinical decision support tools.
Background/Objectives: Breast cancer management relies on multidisciplinary team (MDT) decisions that integrate clinical, radiological, pathological, and patient-related factors. Large language models (LLMs) may support such decisions, but evidence based on real-world cases remains limited. Methods: We evaluated the ag...
Sustainable implementation of AI-CDSSs in emergency medicine will require prospective multi-site evaluation, sociotechnical integration, adaptive governance, and greater attention to equity.
Background: Hysterectomy is a prevalent gynecological procedure and ensuring appropriate use of minimally invasive approaches is essential to enhance the value and quality of care. The aim of this study was to investigate the gap between algorithm-guided recommendations and routine surgical practice in a Romanian real-...
Final recommendation concordance did not meet the protocol-defined benchmark, ChatGPT-4o never altered an MTB decision, and clinically relevant errors occurred even among highly concordant outputs, showing that concordance alone does not guarantee safety.
INTRODUCTION Advancements in minimally invasive techniques, coupled with structured perioperative protocols, have rendered same-day discharge following parathyroidectomy increasingly viable. National recommendations, including those from the Getting It Right First Time (GIRFT) national programme, propose that 90% of pr...
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