Practice Management

Medicolegal

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

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Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care...

Changes in psychiatric documentation and treatment in primary care with artificial intelligence scribe use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence-driven ambient scribes in...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and ...

Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However,...

Enhancing Trust by a Keycloak-Flower Integration for Federated Machine Learning.

Since its introduction, federated learning (FL) has attracted a lot of attention in the medical fiel...

N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.

Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...

Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.

Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthc...

An Integrated AI Cloud Sharing Framework for Predictive AI and Generative AI in Healthcare.

In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface we...

Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms.

The choice of the optimal printing setup for Fused Deposition Modeling (FDM) 3D-printing technology ...

Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions.

BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize clinical decision-making...

Single-cell and spatial transcriptomics reveals an anti-tumor neutrophil subgroup in microwave thermochemotherapy-treated lip cancer.

Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but...

Lightweight and universal deep learning model for fast proton spot dose calculation at arbitrary energies.

To better integrate into processes like rapid adaptive planning and quality assurance, this study ai...

Deep Learning Based Surface Classification of Functionalized Polymer Coatings.

Low-technology characterization of material surfaces poses a challenge of significant importance for...

Improving Healthcare Cost, Quality, and Access Through Artificial Intelligence and Machine Learning Applications.

Since the early 1970s, technology has increasingly become integrated into the healthcare field. Toda...

A Justice-First Approach to Ambient Intelligence in Healthcare.

Ambient intelligence systems (AIS) are increasingly deployed to provide persistent, artificially int...

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology.

The integration of machine-learning technologies into radiology practice has the potential to signif...

AI-Enhanced Speech Recognition in Triage.

Triage is used in emergency departments to ensure timely patient care according to urgency of treatm...

Cross language transformation of free text into structured lobectomy surgical records from a multi center study.

In a recent study, the effectiveness of GPT-4 Omni in transforming lobectomy surgical records into s...

Artificial intelligence in healthcare: A call for strategic implementation to maximize impact and minimize costs.

Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, decision-making, a...

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