Practice Management

Medicolegal

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

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Physician awareness of, interest in, and current use of artificial intelligence large language model-based virtual assistants.

There is increasing medical interest and research regarding the potential of large language model-ba...

Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.

BACKGROUND: Post-COVID conditions (PCC) have proven difficult to diagnose. In this retrospective obs...

AI-driven report-generation tools in mental healthcare: A review of commercial tools.

Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...

Oropharyngeal Cancer Staging Health Record Extraction Using Artificial Intelligence.

IMPORTANCE: Accurate, timely, and cost-effective methods for staging oropharyngeal cancers are cruci...

Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.

This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Gene...

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development-a systematic review.

During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-car...

Enhancing Outpatient Wound Care: Applying AI to Optimize Treatment of Patients with Diabetic Foot Syndrome - The EPWUF-KI Project.

Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individu...

A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study.

Generative AI models, such as ChatGPT, have significantly impacted healthcare through the strategic ...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.

Annotated language resources derived from clinical routine documentation form an intriguing asset fo...

Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.

With cancer being a leading cause of death globally, epidemiological and clinical cancer registratio...

Comparing Patient Perception and Physician's Records: Generative AI Performance Evaluation.

Patient perception involves a patient's thoughts and beliefs regarding their health status. It is al...

Machine Learning-Based Prediction Models of Mortality for Intensive Care Unit Patients Using Nursing Records.

This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing o...

Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.

PURPOSE: Stage in multiple myeloma (MM) is an essential measure of disease risk, but its measurement...

A review on legal issues of medical robots.

This paper examines the legal challenges associated with medical robots, including their legal statu...

[Artificial intelligence and large language models: challenges and prospects in research and medicine].

With the development and spread of artificial intelligence, technologies based on the neural network...

Generating Actionable Insights from Patient Medical Records and Structured Clinical Knowledge.

While adherence to clinical guidelines improves the quality and consistency of care, personalized he...

Technology in Medicine: Improving Clinical Documentation.

The association between electronic health record (EHR) documentation and physician burnout is well-k...

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