Medicolegal

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 Japanese quail () breeder hens. The birds were submitted with an initial complaint of a drop in egg production and watery droppings. Initial PCR testing of the flock for avian influenza (AI) was negative; however, mortality started increasing drastically, prompting further examination and the submission o...

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

[Legal regulation of clinical application of artificial intelligence].

With the wide application of artificial intelligence (AI) technology in clinical practice, more and more legal problems need to be solved. At present,...

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

Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep learning techniques, have found application in numerou...

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, structured, standardised and interoperable genome-wide ass...

[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 artificial intelligence（AI） quality control syste...

3D Visualization of Microtubules in Epidermal Pavement Cells.

The plant cytoskeleton is instrumental in cellular processes such as cell growth, differentiation, and immune response. Microtubules, in particular, p...

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 veterinary medicine is practiced. Exactly how this change...

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. Machine Learning offers the potential to increase the ac...

Capturing and Improving Case Charge Accuracy in Robotic Surgery Programs.

The robotic platform offers many benefits to patients and surgeons; however, incorporating this new surgical tool has also introduced challenges in in...

Quantitative endoscopic photoacoustic tomography using a convolutional neural network.

Endoscopic photoacoustic tomography (EPAT) is a catheter-based hybrid imaging modality capable of providing structural and functional information of b...

Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.

Artificial intelligence (AI) can enhance the efficiency of medical imaging quality control and clinical documentation, provide clinical decision suppo...

Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy.

Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of benefits in nuclear medicine; however, the biggest hu...

Natural Language Processing: Practical Applications in Medicine and Investigation of Contextual Autocomplete.

Natural language processing (NLP) is the task of converting unstructured human language data into structured data that a machine can understand. While...

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 growing exponentially, and new developments are fast...

Editorial. Ethical nuances and medicolegal vulnerabilities in robotic neurosurgery.

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 to inhibit the function of peripheral nerves. Ultr...

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 documented in patients' electronic health records ...

Applying a Common Enterprise Theory of Liability to Clinical AI Systems.

The advent of artificial intelligence ("AI") holds great potential to improve clinical diagnostics. At the same time, there are important questions of...

The difficult role of Artificial Intelligence in Medical Liability: to err is not only human.

The entrance of Artificial Intelligence (AI) as a new actor in the doctor-patient relationship has encouraged important legal and ethi-cal considerati...