Medicolegal

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...

Generative AI in Health Care and Liability Risks for Physicians and Safety Concerns for Patients.

Towards an Action Recognition Framework for Endovascular Surgery.

Objective knowledge about instrument manoeuvres in endovascular surgery is essential for evaluating ...

[Legal regulation of clinical application of artificial intelligence].

With the wide application of artificial intelligence (AI) technology in clinical practice, more and ...

Supporting the Capture of Social Needs Through Natural Language Processing.

Social factors impact morbidity and mortality among patients. Documenting social needs in the clinic...

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes.

PURPOSE: There is an unmet need to empirically explore and understand drivers of cancer disparities,...

[Artificial intelligence in medicine: are we ready?].

Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep lear...

The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource.

The NHGRI-EBI GWAS Catalog (www.ebi.ac.uk/gwas) is a FAIR knowledgebase providing detailed, structur...

3D Visualization of Microtubules in Epidermal Pavement Cells.

The plant cytoskeleton is instrumental in cellular processes such as cell growth, differentiation, a...

[Automatic anatomical site recognition of laryngoscopic images using convolutional neural network].

To explore the automatic recognition and classification of 20 anatomical sites in laryngoscopy by an...

First, do no harm. Ethical and legal issues of artificial intelligence and machine learning in veterinary radiology and radiation oncology.

Artificial Intelligence and machine learning are novel technologies that will change the way veterin...

The Prediction of Fall Circumstances Among Patients in Clinical Care - A Retrospective Observational Study.

Standardized fall risk scores have not proven to reliably predict falls in clinical settings. Machin...

Capturing and Improving Case Charge Accuracy in Robotic Surgery Programs.

The robotic platform offers many benefits to patients and surgeons; however, incorporating this new ...

Quantitative endoscopic photoacoustic tomography using a convolutional neural network.

Endoscopic photoacoustic tomography (EPAT) is a catheter-based hybrid imaging modality capable of pr...

Automated Extraction of Pain Symptoms: A Natural Language Approach using Electronic Health Records.

BACKGROUND: Pain costs more than $600 billion annually and affects more than 100 million Americans, ...

Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls.

Ontologies promise more benefits than terminologies in terms of data annotation and computer-assiste...

The Human Disease Ontology 2022 update.

The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the ...

Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods.

Most states have legalized medical cannabis, yet little is known about how medical cannabis use is ...

Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia ...

Editorial. Ethical nuances and medicolegal vulnerabilities in robotic neurosurgery.

The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.

The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are gr...