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Referral and Consultation

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Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning.

Journal of the American Medical Informatics Association : JAMIA
BACKGROUND: Acute hepatic porphyria (AHP) is a group of rare but treatable conditions associated with diagnostic delays of 15 years on average. The advent of electronic health records (EHR) data and machine learning (ML) may improve the timely recogn...

Unlocking the Potential of Free Text in Electronic Health Records with Large Language Models (LLM): Enhancing Patient Safety and Consultation Interactions.

Studies in health technology and informatics
Computer-mediated clinical consultation, involving clinicians, electronic health record (EHR) systems, and patients, yield rich narrative data. Despite advancements in Natural Language Processing (NLP), these narratives remain underutilised. Free tex...

Robot-Assisted Pyeloplasty with HUGO™ Robotic System: Initial Experience and Optimal Surgical Set-Up at a Tertiary Referral Robotic Center.

Journal of endourology
In February 2021 Medtronic (Minneapolis, MN) launched the HUGO™ Robot-Assisted Surgery (RAS) System in the global market. The aim of the current study is to describe the first case series and the optimal setup of robot-assisted pyeloplasty procedure...

[Applications, techniques, and best practices for using ChatGPT].

Revue medicale suisse
The future of a machine writing our reports for us could also lead to it carrying out our consultations, a scenario whose relevance is open to debate. Nevertheless, the present offers us new artificial intelligence tools that can support us in our da...

Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice.

Open heart
OBJECTIVES: The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study set...

Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic.

Korean journal of radiology
OBJECTIVE: The clinical impact of artificial intelligence-based computer-aided detection (AI-CAD) beyond diagnostic accuracy remains uncertain. We aimed to investigate the influence of the clinical implementation of AI-CAD for chest radiograph (CR) i...