AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

France

Showing 61 to 70 of 107 articles

Clear Filters

Serum Vitamin D Levels Affect Pathologic Complete Response in Patients Undergoing Neoadjuvant Systemic Therapy for Operable Breast Cancer.

Clinical breast cancer
INTRODUCTION: There has been increasing interest in the potential benefit of vitamin D in improving breast cancer outcome. Preclinical studies suggest that vitamin D enhances chemotherapy-induced cell death. We investigated the impact of serum vitami...

Reviewing 741 patients records in two hours with FASTVISU.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The secondary use of electronic health records opens up new perspectives. They provide researchers with structured data and unstructured data, including free text reports. Many applications been developed to leverage knowledge from free-text reports,...

Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...

Comparative risk of failure of ABC/3TC or TDF/FTC based first-line regimens in patients with a high viral load.

HIV medicine
OBJECTIVES: To compare the efficacy, in current clinical practice, of first regimens containing abacavir with lamivudine (ABC/3TC) or tenofovir with emtricitabine (TDF/FTC) in patients with baseline viral load ≥100,000 HIV-1 RNA copies/mL.

Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

World journal of urology
INTRODUCTION: Adherent perirenal fat (APF) can be defined as inflammatory fat sticking to renal parenchyma, whose dissection is difficult and makes it troublesome to expose the tumour. Our objective was to evaluate the impact of APF on the technical ...

Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project.

Studies in health technology and informatics
Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic real-world monitoring to assess associated risks related to implanted materials. Due to population ageing and expanding demands, total hip, knee, and ...

Beyond Tokens: Fair Evaluation of French Large Language Models for Clinical Named Entity Recognition.

Studies in health technology and informatics
Named Entity Recognition (NER) models based on Transformers have gained prominence for their impressive performance in various languages and domains. This work delves into the often-overlooked aspect of entity-level metrics and exposes significant di...

Secure Extraction of Personal Information from EHR by Federated Machine Learning.

Studies in health technology and informatics
Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs) presents significant privacy and security challenges. This study explores the application of Federated Learning (FL) to overcome these challenges wit...

Comparing NER Approaches on French Clinical Text, with Easy-to-Reuse Pipelines.

Studies in health technology and informatics
The task of Named Entity Recognition (NER) is central for leveraging the content of clinical texts in observational studies. Indeed, texts contain a large part of the information available in Electronic Health Records (EHRs). However, clinical texts ...