Practice Management

Medicolegal

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

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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...

Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use.

Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medi...

Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.

BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinica...

Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.

IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-be...

Machine Learning Analysis of Single-Voxel Proton MR Spectroscopy for Differentiating Solitary Fibrous Tumors and Meningiomas.

Solitary fibrous tumor (SFT), formerly known as hemangiopericytoma, is an uncommon brain tumor often...

Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism.

OBJECTIVES: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the...

Enhancing Malignancy Detection and Tumor Classification in Pathology Reports: A Comparative Evaluation of Large Language Models.

BACKGROUND: Cancer registries require accurate and efficient documentation of malignancies, yet curr...

Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.

BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-t...

The Role of Artificial Intelligence in Nursing Care: An Umbrella Review.

Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monito...

Clinical Applications of Artificial Intelligence in Neurology Practice.

As artificial intelligence (AI) tools become increasingly mainstream, they can potentially transform...

The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

Empowering Health: Model for Sustainable AI Implementation.

OntarioMD (OMD), a leader in digital health, focuses on harnessing artificial intelligence (AI) tech...

AI Applications for Thoracic Imaging: Considerations for Best Practice.

Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice...

Ambient artificial intelligence scribes: utilization and impact on documentation time.

OBJECTIVES: To quantify utilization and impact on documentation time of a large language model-power...

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess p...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

With the wide application of new technologies such as large language models and generative artificia...

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