Latest AI and machine learning research in ethics for healthcare professionals.
Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it in all areas of life, as well as in the field of medicine. The article refers to medical ethics in two areas: One field is medicine based on Mega Data and the other is the chatbot or ChatGPT. These two fields basically operate in three stages: collecting data, building a logarithm and drawing conclus...
There is an ongoing debate on balancing the benefits and risks of artificial intelligence (AI) as AI is becoming critical to improving healthcare delivery and patient outcomes. Such improvements are essential in resource-constrained settings where millions lack access to adequate healthcare services, such as in Africa. AI in such a context can potentially improve the effectiveness, efficiency, a...
In the realm of healthcare where decentralized facilities are prevalent, machine learning faces two major challenges concerning the protection of da...
Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient data collection, access, and use raise ethical co...
The rapid advances in the Internet of Things (IoT) have promoted a revolution in communication technology and offered various customer services. Art...
In the fields of brain-computer interaction and cognitive neuroscience, effective decoding of auditory signals from task-based functional magnetic r...
The rapid progress in Large Language Models (LLMs) could transform many fields, but their fast development creates significant challenges for oversi...
THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. Artificial intelligence (AI) offers more and more a...
BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal aspects are often intertwined and subject to change ...
Virtually unknown to the greater public before November 2022, ChatGPT was made available in open access in Autumn 2022, driving the perspective of art...
The burden of research ethics review falls not just on researchers, but also on those who serve on research ethics committees (RECs). With the advent ...
Non-invasive diabetes detection refers to the utilization and development of technologies and methods that can monitor and diagnose diabetes without r...
On the occasion of the sixth AI international Summit (November 22-24, 2023), Professor Daniel Rueckert (Technical University of Munich) replies to our...
The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related organizational structure, has made it difficult to...
The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transformative era in healthcare, with promises of improv...
The rapid pace of development and application of digital technology and data science, including artificial intelligence (AI), is transforming our worl...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : Th...
The growing accessibility of large health datasets and AI's ability to analyze them offers significant potential to transform public health and epidem...