Accuracy of Disclosed Financial Relationships between Radiologists and Industry at the 2018 RSNA Annual Meeting.

Online supplemental material is available for this article. See also the editorial by Grant in this issue.

Correlation Between Traumatic Skin and Subcutaneous Injuries and the Severity of Polytrauma Injury.

PURPOSE: To examine the relationship between superficial lesions (such as bruises, hematomas, deep abrasions, and soft tissue emphysema) and internal post-traumatic injuries, assessed using whole-body computed tomography (WBCT), and to determine if these are valid markers for internal injuries. METHODS AND MATERIALS: 250 patients who underwent WBCT emergency scans for suspected polytrauma were retrospectively analyzed after institutional review board approval of the study. The scans were carried out on patients who met the criteria for standard operating procedures for WBCT emergency scans. WBCT covering the entire head, neck, chest, and abdomen (including pelvis and proximal lower extremities) and at least one phase with intravenous contrast agent were included in the study. Initial analyses of immediate WBCT scans was carried out by a consultant radiologist and a radiological resident. The first reading focused on internal damage that needed immediate therapy. The second reading focused on a detailed analysis of the skin and subcutaneous tissue and their relation to internal injuries without the time pressure of an emergency setting, carried out by another experienced radiologist. All skin lesions and the degree of penetration and a comparison between the two readings were reported in tables. RESULTS: Superficial lesion of the chest was detected in 19 patients, 17 of them had an internal injury of the thorax while only two patients, with hematoma of the chest wall, had no internal injuries. Skin and subcutaneous lesions of the chest had the strongest association with an internal injury. Skin lesions of the abdominal wall were observed in 30 patients. In only 11 cases, these lesions were correlated with internal injuries, such as fractures or active bleeding. 52 skin and subgaleal lesions of the scalp were observed. In 20 of these patients, an intracranial or internal injury was detected. In 3 patients, skin abrasions of the neck were present and in only one of them, this finding was associated with an internal injury. CONCLUSION: Trauma patients whose history and clinical presentation meet the standard operating procedures for WBCT emergency scans and who present with a cutaneous lesion, especially at the neurocranium or chest wall, should be observed for internal injuries by WBCT. KEY POINTS: · Presence or lack of a superficial injury of the abdominal wall is not a reliable predictive indication of any internal abdominal injury.. · Superficial lesions of the chest and the neurocranium require a CT scan.. · Superficial injuries of the chest wall had the strongest association with internal injuries.. CITATION FORMAT: · Klempka A, Fischer C, Kauczor H et al. Correlation Between Traumatic Skin and Subcutaneous Injuries and the Severity of Trauma. Fortschr Röntgenstr 2021; 193: 177 - 185.

Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to prevent inadvertent access to and transfer of identifiable information. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI Ethical and Legal standing committee with the mandate to guide the medical imaging community in terms of best practices in data management, access to health care data, de-identification, and accountability practices. Part 1 of this article will inform CAR members on principles of de-identification, pseudonymization, encryption, direct and indirect identifiers, k-anonymization, risks of reidentification, implementations, data set release models, and validation of AI algorithms, with a view to developing appropriate standards to safeguard patient information effectively.

Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithms in radiology requires access to large data sets containing personal health information. Because machine learning projects often require collaboration between different sites or data transfer to a third party, precautions are required to safeguard patient privacy. Safety measures are required to prevent inadvertent access to and transfer of identifiable information. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI Ethical and Legal standing committee with the mandate to guide the medical imaging community in terms of best practices in data management, access to health care data, de-identification, and accountability practices. Part 2 of this article will inform CAR members on the practical aspects of medical imaging de-identification, strengths and limitations of de-identification approaches, list of de-identification software and tools available, and perspectives on future directions.

Ethical considerations in artificial intelligence.

With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but it also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI that promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and American Association of Physicists in Medicine. AI has great potential to increase efficiency and accuracy throughout radiology, but it also carries inherent pitfalls and biases. Widespread use of AI-based intelligent and autonomous systems in radiology can increase the risk of systemic errors with high consequence and highlights complex ethical and societal issues. Currently, there is little experience using AI for patient care in diverse clinical settings. Extensive research is needed to understand how to best deploy AI in clinical practice. This statement highlights our consensus that ethical use of AI in radiology should promote well-being, minimize harm, and ensure that the benefits and harms are distributed among stakeholders in a just manner. We believe AI should respect human rights and freedoms, including dignity and privacy. It should be designed for maximum transparency and dependability. Ultimate responsibility and accountability for AI remains with its human designers and operators for the foreseeable future. The radiology community should start now to develop codes of ethics and practice for AI that promote any use that helps patients and the common good and should block use of radiology data and algorithms for financial gain without those two attributes. This article is a simultaneous joint publication in Radiology, Journal of the American College of Radiology, Canadian Association of Radiologists Journal, and Insights into Imaging. Published under a CC BY-NC-ND 4.0 license. Online supplemental material is available for this article.

Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically learn to recognize these features. However, the promise of accurate personalized medicine can only be fulfilled with access to large quantities of medical data from patients. This data could be used for purposes such as predicting disease, diagnosis, treatment optimization, and prognostication. Radiology is positioned to lead development and implementation of AI algorithms and to manage the associated ethical and legal challenges. This white paper from the Canadian Association of Radiologists provides a framework for study of the legal and ethical issues related to AI in medical imaging, related to patient data (privacy, confidentiality, ownership, and sharing); algorithms (levels of autonomy, liability, and jurisprudence); practice (best practices and current legal framework); and finally, opportunities in AI from the perspective of a universal health care system.

Deber ético del radiólogo: confidencialidad y secreto médico, respeto a la intimidad y dignidad del paciente / Radiologists' duties: confidentiality and professional secrecy, respect for patients' dignity and intimacy

La práctica médica debe estar siempre enmarcada en un ejercicio profesional moralmente aceptable, que procure la promoción y respeto de los principios éticos fundamentales de la medicina, manteniendo el beneficio del paciente como objetivo principal. Al igual que otras especialidades, en el ejercicio de la radiología, se debe cuidar el marco ético profesional que obliga a velar por el respeto de la dignidad e intimidad de las personas y todo lo relacionado con la confidencialidad del acto médico. En el ejercicio de la radiología, al igual en que otros actos médicos, se tiene acceso a información sensible y privada de los pacientes, lo que obliga a hacer un correcto uso de ella, resguardando las normas de privacidad y secreto profesional. Se debe enseñar y sensibilizar a los alumnos y al personal que asiste en el cuidado de los pacientes, para asegurar un comportamiento acorde a las normas éticas que rigen la práctica radiológica.

An ethical and professional medical behavior, which promotes and respects the ethical principles of medicine, is a goal that should always be pursued in medical practice. In radiology, as in other medical specialties, this includes respect for patients' dignity, intimacy and confidentiality. The possibility of accessing patients' private information compels radiologists to make a correct usage of this information, in order to respect professional secrecy and privacy codes that rule medical practice. Radiologists must teach and raise awareness among their students and co-workers in health care institutions of the importance of ethical behavior in their daily practice.

Radiología médico-legal: un dilema ético para el técnico en radiología / Medical-legal radiology: an ethical dilemma for radiology technician / Radiologia médico-legal: um dilema ético para o técnico de Radiologia

Resumen: Las exploraciones radiológicas médico-legales incluyen exposiciones médicas a radiaciones que se realizan por orden judicial a una persona que no está enferma. El técnico o tecnólogo médico en radiología tiene el deber de minimizar las dosis a pacientes y a la población en su conjunto; por ello, realizar este tipo de exploraciones entra en conflicto con las máximas de la protección radiológica y de su código ético. Presentamos un estudio de revisión donde se analiza si estas prácticas médicas son contrarias a la ética profesional del técnico en radiología.

Abstract: The medico-legal, radiological examinations include those medical exposures to radiation conducted by court order a person who is not sick. The radiologic technologist has a duty to minimize the dose to patients and the population as a whole, therefore, make this type of exploration conflicts with the maximum of Radiation Protection and its ethical code. We present a review study where we analyze whether these medical practices are contrary to professional ethics of the Radiologic technologist.

Resumo: As explorações radiológicas médico-legais incluem aquelas exposições médicas a radiações que se realizam por ordem judicial a uma pessoa que não está doente. O técnico ou tecnólogo médico em radiologia tem o dever de minimizar a dose para os pacientes e a população como um todo; portanto, realizar este tipo de exploração entra em conflito com os princípios da proteção radiológica e de seu código de ética. Apresentamos um estudo de revisão no qual analisamos se estas práticas médicas são contrárias à ética profissional do técnico em radiologia.