Latest AI and machine learning research in health policy for healthcare professionals.
With the development of the field of survival analysis, statistical inference of right-censored data is of great importance for the study of medical diagnosis. In this study, a right-censored data survival prediction model based on an improved composite quantile regression neural network framework, called rcICQRNN, is proposed. It incorporates composite quantile regression with the loss function o...
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies. For a long-term and reliable healthcare system, high energy efficiency...
BACKGROUND: Cost and quality are important, complex, and intertwined surgical outcomes. Evidence suggests that major cost drivers include operating ro...
Digital health applications can improve quality and effectiveness of healthcare, by offering a number of new tools to users, which are often considere...
Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of benefits in nuclear medicine; however, the biggest hu...
The applications of artificial intelligence (AI) and machine learning (ML) in modern medicine are growing exponentially, and new developments are fast...
The continued generation of large amounts of data within healthcare-from imaging to electronic medical health records to genomics and multi-omics -nec...
BACKGROUND: Originally, digital healthcare was created to support underserved and rural patients gain access to health services. Phones, devices, and ...
High-quality data are fundamental to healthcare research, future applications of artificial intelligence and advancing healthcare delivery and outcome...
OBJECTIVE: Patients living in many rural and remote areas do not have readily available access to ultrasound services because of a lack of sonographer...
Aging is a universal feature of life and a complex process at all levels from the biological to the societal. What constitutes older age is subjective...
Patient safety event (PSE) reports are a useful lens to understand hazards and patient safety risks in healthcare systems. However, patient safety off...
Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at patho...
The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about the increasing use in relevant and critical areas ...
Photoplethysmography (PPG) is an important signal which contains much physiological information like heart rate and cardiovascular health etc. However...
Ultrasound (US) imaging is a widely used clinical technique that requires extensive training to use correctly. Good quality US images are essential fo...
With the increasing awareness of high-quality life, there is a growing need for health monitoring devices running robust algorithms in home environmen...
BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event data, the Agency for Healthcare Research and Qualit...
Catheters used for endovascular navigation in interventional procedures lack dexterity at the distal tip. Neurointerventionists, in particular, encoun...
Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solut...