Practice Management

Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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Showing 211-231 of 8,451 articles
Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial.

Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, ...

Developing Machine Vision in Tree-Fruit Applications-Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting.

Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Netw...

Large language model application in emergency medicine and critical care.

In the rapidly evolving healthcare landscape, artificial intelligence (AI), particularly the large l...

Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes?

BACKGROUND: Proper documentation is essential for patient care. The popularity of artificial intelli...

Latest developments of generative artificial intelligence and applications in ophthalmology.

The emergence of generative artificial intelligence (AI) has revolutionized various fields. In ophth...

Contribution assessment and accumulation prediction of heavy metals in wheat grain in a smelting-affected area using machine learning methods.

Due to the diverse controlling factors and their uneven spatial distribution, especially atmospheric...

A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.

Implementation of artificial intelligence systems for healthcare is challenging. Understanding the b...

Botulinum Toxin Type A (BoNT-A) Use for Post-Stroke Spasticity: A Multicenter Study Using Natural Language Processing and Machine Learning.

We conducted a multicenter and retrospective study to describe the use of botulinum toxin type A (Bo...

An ontology-based tool for modeling and documenting events in neurosurgery.

BACKGROUND: Intraoperative neurophysiological monitoring (IOM) plays a pivotal role in enhancing pat...

The real ethical issues with AI for clinical psychiatry.

This article explores the ethical issues arising from ordinary AI applications currently used in men...

Understanding natural language: Potential application of large language models to ophthalmology.

Large language models (LLMs), a natural language processing technology based on deep learning, are c...

Leveraging AI and Machine Learning in Six-Sigma Documentation for Pharmaceutical Quality Assurance.

The pharmaceutical industry must maintain stringent quality assurance standards to ensure product sa...

Artificial intelligence in colorectal multidisciplinary team meetings. What are the medicolegal implications?

AIM: To give an insight into areas for future development and suggestions in the complexities of inc...

Ethical Implications of Artificial Intelligence in Gastroenterology: The Co-pilot or the Captain?

Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatol...

ChatGPT in Urology: Bridging Knowledge and Practice for Tomorrow's Healthcare, a Comprehensive Review.

Among emerging AI technologies, Chat-Generative Pre-Trained Transformer (ChatGPT) emerges as a nota...

Quality Improvement Study Using a Machine Learning Mortality Risk Prediction Model Notification System on Advance Care Planning in High-Risk Patients.

BACKGROUND: Advance care planning (ACP) is an important aspect of patient care that is underutilized...

Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent tech...

Machine learning in soil nutrient dynamics of alpine grasslands.

As a terrestrial ecosystem, alpine grasslands feature diverse vegetation types and play key roles in...

Legal implications of artificial intelligence in health care.

The last few years have seen a boom in the popularity of artificial intelligence (AI) around the wor...

Microscopy Image Dataset for Deep Learning-Based Quantitative Assessment of Pulmonary Vascular Changes.

Pulmonary hypertension (PH) is a syndrome complex that accompanies a number of diseases of different...

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