AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Privacy

Showing 91 to 100 of 265 articles

Clear Filters

Managing Security of Healthcare Data for a Modern Healthcare System.

Sensors (Basel, Switzerland)
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting clinical and patient services, reducing costs and improving community health. Yet, a fundamental chal...

Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158.

Medical teacher
Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) and is set to benefit more in the future. Just as any technological advance opens discussions about ethics, so the implications of AI for HPE ethics n...

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) can transform health care processes with its increasing ability to translate complex structured and unstructured data into actionable clinical decisions. Although it has been established that AI is much more e...

A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction.

Sensors (Basel, Switzerland)
In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A furth...

An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.

International journal of surgery (London, England)
BACKGROUND: Although the surgical treatment strategy for rectal cancer (RC) is usually based on the preoperative diagnosis of lymph node metastasis (LNM), the accurate diagnosis of LNM has been a clinical challenge. In this study, we developed machin...

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer.

IEEE journal of biomedical and health informatics
Generative Adversarial Networks (GANs) are a revolutionary innovation in machine learning that enables the generation of artificial data. Artificial data synthesis is valuable especially in the medical field where it is difficult to collect and annot...

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey.

IEEE journal of biomedical and health informatics
Recent advances in electronic devices and communication infrastructure have revolutionized the traditional healthcare system into a smart healthcare system by using internet of medical things (IoMT) devices. However, due to the centralized training a...

SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.

Surgical endoscopy
BACKGROUND: Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for stand...

Ethics of Medical Archival Internet Research Data.

Journal of medical Internet research
Medical research based on internet archive data, which in some ways is quite different from other data-based studies, is becoming more and more common. Despite its uniqueness and the challenges that characterize it, clear ethical rules designed to gu...

An Extended Review Concerning the Relevance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors.

Sensors (Basel, Switzerland)
The continuously increasing number of mobile devices actively being used in the world amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial increase in the amount of personal data collected, transported, processed, a...