Medicolegal

[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...

Advanced Care Planning Content Encoding with Natural Language Processing.

While advanced care planning (ACP) is an essential practice for ensuring patient-centered care, its ...

Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management.

This study evaluated the usability and effectiveness of an artificial intelligence application for w...

Understanding Liability Risk from Using Health Care Artificial Intelligence Tools.

Generative AI Demonstrated Difficulty Reasoning on Nursing Flowsheet Data.

Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce bur...

Secondary Use of Clinical Problem List Descriptions for Bi-Encoder Based ICD-10 Classification.

Annotated language resources are essential for supervised machine learning methods. In the clinical ...

Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.

BACKGROUND: There are various molecular hypotheses regarding Alzheimer's disease (AD) like amyloid d...

hdWGCNA and Cellular Communication Identify Active NK Cell Subtypes in Alzheimer's Disease and Screen for Diagnostic Markers through Machine Learning.

BACKGROUND: Alzheimer's disease (AD) is a recognized complex and severe neurodegenerative disorder, ...

Artificial intelligence in forensic medicine and related sciences - selected issues.

AIM: The aim of the work is to provide an overview of the potential application of artificial intell...

Machine Intelligence in Cerebrovascular and Endovascular Neurosurgery.

The advent of different realms of computational neurosurgery-including not only machine intelligence...

Neurosurgery, Explainable AI, and Legal Liability.

One of the challenges of AI technologies is its "black box" nature, or the lack of explainability an...

Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structu...

Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!

Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a ...

Ethical implications of AI and robotics in healthcare: A review.

Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical inn...

Artificial Intelligence in Medicine: Issues When Determining Negligence.

The introduction of novel medical technology, such as artificial intelligence (AI), into traditional...

Artificial intelligence and clinical decision support: clinicians' perspectives on trust, trustworthiness, and liability.

Artificial intelligence (AI) could revolutionise health care, potentially improving clinician decisi...

[Application of Medical Record Quality Control System Based on Artificial Intelligence].

OBJECTIVE: In this study, we used artificial intelligence (AI) technology to explore for automated m...

Social Determinants of Health in EMS Records: A Mixed-methods Analysis Using Natural Language Processing and Qualitative Content Analysis.

Social determinants of health (SDoH) are known to impact the health and well-being of patients. How...

Diagnostic Detection of H7N3 Low Pathogenicity Avian Influenza in a Commercial Game Bird Flock.

Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japane...