Medicolegal

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models

Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health disparities. However, their documentation in structured electronic health records (EHRs) is often incomplete or missing. This study presents an approach based on large language models (LLMs) for extracting 13 SDoH categories from French clinical notes. We tra...

MPX: Mixed Precision Training for JAX

Mixed-precision training has emerged as an indispensable tool for enhancing the efficiency of neural network training in recent years. Concurrently, JAX has grown in popularity as a versatile machine learning toolbox. However, it currently lacks robust support for mixed-precision training. We propose MPX, a mixed-precision training toolbox for JAX that simplifies and accelerates the training of ...

Preserving Privacy, Increasing Accessibility, and Reducing Cost: An On-Device Artificial Intelligence Model for Medical Transcription and Note Generation

Background: Clinical documentation represents a significant burden for healthcare providers, with physicians spending up to 2 hours daily on adminis...

The Anatomy of Evidence: An Investigation Into Explainable ICD Coding

Automatic medical coding has the potential to ease documentation and billing processes. For this task, transparency plays an important role for medi...

Transformation trees - Documentation of multimodal image registration.

Multimodal image registration plays a key role in creating digital patient models by combining data from different imaging techniques into a single co...

Single-shot, receptor-free, rapid detection and classification of five respiratory viruses by machine learning integrated SERS sensing platform.

A machine learning integrated SERS sensing platform is developed for a single-shot, receptor-free, rapid detection and classification of five respirat...

Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languages

Millions of people in African countries face barriers to accessing healthcare due to language and literacy gaps. This research tackles this challeng...

A Clinically-Grounded Two-Stage Framework for Renal CT Report Generation

Generating radiology reports from CT scans remains a complex task due to the nuanced nature of medical imaging and the variability in clinical docum...

Predicting the morphology of cobalt, copper, and ruthenium on TaN for interconnect metal deposition.

Downscaling of metal interconnects has become a bottleneck in the back-end-of-line processing of CMOS semiconductor devices. The conductivity of the c...

AI Model Passport: Data and System Traceability Framework for Transparent AI in Health

The increasing integration of Artificial Intelligence (AI) into health and biomedical systems necessitates robust frameworks for transparency, accou...

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis

Containers are an integral part of the logistics industry and act as a barrier for cargo. A typical service life for a container is more than 20 yea...

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation

Retrieval-Augmented Generation (RAG) systems are emerging as a key approach for grounding Large Language Models (LLMs) in external knowledge, addres...

Abstract Meaning Representation for Hospital Discharge Summarization

The Achilles heel of Large Language Models (LLMs) is hallucination, which has drastic consequences for the clinical domain. This is particularly imp...

Machine learning-driven analysis of soil microplastic distribution in the Bang Pakong Watershed, Thailand.

Microplastics (MPs) have emerged as a pervasive environmental pollutant due to their persistence and global distribution. However, MPs relationships w...

UrbanSense:AFramework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models

Urban cultures and architectural styles vary significantly across cities due to geographical, chronological, historical, and socio-political factors...

Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework

Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. In clinical settings...

New case law and liability risks for manufacturers of medical AI.

Recent case law can shape how innovation unfolds.

Primer on large language models: an educational overview for intensivists.

The integration of artificial intelligence (AI) and machine learning-enabled medical technologies into clinical practice is expanding at an unpreceden...

Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social health system, not only causing direct medical costs b...

Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.

Central nervous system (CNS) drugs have the highest clinical attrition, often due to CNS-related toxicities such as drug-induced seizures (DIS). Early...