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Liability, Legal

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Neurosurgery, Explainable AI, and Legal Liability.

Advances in experimental medicine and biology
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability and interpretability of these technologies. This chapter explores whether AI systems in healthcare generally, and in neurosurgery specifically, should b...

Liability of Health Professionals Using Sensors, Telemedicine and Artificial Intelligence for Remote Healthcare.

Sensors (Basel, Switzerland)
In the last few decades, there has been an ongoing transformation of our healthcare system with larger use of sensors for remote care and artificial intelligence (AI) tools. In particular, sensors improved by new algorithms with learning capabilities...

Legal implications of artificial intelligence in health care.

Clinics in dermatology
The last few years have seen a boom in the popularity of artificial intelligence (AI) around the world, and the health care sector has not been immune from what has been perceived by some as a revolutionary technology. Although AI has been around for...

Artificial intelligence in colorectal multidisciplinary team meetings. What are the medicolegal implications?

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: To give an insight into areas for future development and suggestions in the complexities of incorporation of AI into human colorectal cancer (CRC) care while bringing into focus the importance of clinicians' roles in patient care.

The legal regulation of artificial intelligence in the European Union: A practical guide for radiologists.

Radiologia
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI Act. The purpose of this article is to describe this regulation and examine three implications that w...

Generative artificial intelligence (GenAI) and decision-making: Legal & ethical hurdles for implementation in mental health.

International journal of law and psychiatry
This article argues that significant risks are being taken with using GenAI in mental health that should be assessed urgently. It recommends that guidelines for using generative artificial intelligence (GenAI) in mental health care must be establishe...

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

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
With the wide application of new technologies such as large language models and generative artificial intelligence (AI) in the health care sector, artificial intelligence-assisted health care is confronted with new forms of legal risks. The algorithm...

High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare.

BMC medical ethics
BACKGROUND: Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals' lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ...

Regulating algorithmic care in the European Union: evolving doctor-patient models through the Artificial Intelligence Act (AI-Act) and the liability directives.

Medical law review
This article argues that the integration of artificial intelligence (AI) into healthcare, particularly under the European Union's Artificial Intelligence Act (AI-Act), poses significant implications for the doctor-patient relationship. While historic...

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

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted pro...