AIMC Topic: Delivery of Health Care

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Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Cancer control : journal of the Moffitt Cancer Center
INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificia...

AI Tools Poised to Improve Patient Health Care.

IEEE pulse
Technologies to provide early predictions of breast cancer risk, to identify which hospital patients actually should have their vital signs monitored overnight and which should be left to their restorative sleep, and to swiftly identify rare infant d...

A method for machine learning generation of realistic synthetic datasets for validating healthcare applications.

Health informatics journal
Digital health applications can improve quality and effectiveness of healthcare, by offering a number of new tools to users, which are often considered a medical device. Assuring their safe operation requires, amongst others, clinical validation, nee...

[Development of Clinical Pharmaceutical Services via Artificial Intelligence Adaptation].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Recently, social implementations of artificial intelligence (AI) have been rapidly advancing. Many papers have investigated the use of AI in the field of healthcare. However, there have been few studies on the adaptation of AI to clinical pharmaceuti...

Assessing performance of artificial neural networks and re-sampling techniques for healthcare datasets.

Health informatics journal
Re-sampling methods to solve class imbalance problems have shown to improve classification accuracy by mitigating the bias introduced by differences in class size. However, it is possible that a model which uses a specific re-sampling technique prior...

Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.

Advances in biochemical engineering/biotechnology
Artificial intelligence represents a powerful computational tool to analyze large amounts of data with and without supervision. Such powerful techniques have significantly impacted the advancement of multiple sectors from social media to data securit...

Moving toward AI-assisted decision-making: Observation on clinicians' management of multimedia patient information in synchronous and asynchronous telehealth contexts.

Health informatics journal
BACKGROUND: Artificial intelligence (AI) intends to support clinicians' patient diagnosis decisions by processing and identifying insights from multimedia patient information.

The Impact of Cultural Dimensions of Clinicians on the Adoption of Artificial Intelligence in Healthcare.

The Journal of the Association of Physicians of India
INTRODUCTION: Healthcare is probably the last frontier that Artificial Intelligence (AI) has not conquered. Cultural factors significantly impact the way healthcare is accessed and delivered. Affordability, educational and social status, physician tr...

On Algorithmic Fairness in Medical Practice.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees
The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithm...

Digital Healthcare for Airway Diseases from Personal Environmental Exposure.

Yonsei medical journal
Digital technologies have emerged in various dimensions of human life, ranging from education to professional services to well-being. In particular, health products and services have expanded by the use and development of artificial intelligence, mob...