Latest AI and machine learning research in health policy for healthcare professionals.
Oocyte cryopreservation is a boon for women undergoing assisted reproductive technology. With the evolution in the technique of cryopreservation over the last three decades, there has been an exponential rise in the number of oocyte cryopreservation cycles for diverse indications. Apart from cancer patients, it has also been promoted as a mode of fertility insurance to overcome the age-related dec...
Social and health care equity and justice should be prioritized by the mantra of medicine, first do no harm. Despite highly motivated national and global health strategies, there remains significant health care inequity. Intrinsic and extrinsic factors, including a number of biases, are key drivers of ongoing health inequity including equity of access and opportunity for nuclear medicine and radio...
This paper presents the construction of a new objective method for estimation of visual perceiving quality. The proposal provides an assessment of ima...
The quality of boxing video is affected by many factors. For example, it needs to be compressed and encoded before transmission. In the process of tra...
In the last two decades, cochlear implant surgery has evolved into a minimally invasive, hearing preservation surgical technique. The devices used dur...
Patient similarity research is one of the most fundamental tasks in healthcare, helping to make decisions without incurring additional time and costs ...
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy...
We hypothesize that artificial intelligence (AI) applied to relevant clinical testing in glaucoma has the potential to enhance the ability to detect g...
Single-cell isolation is a truly transformative tool for the understanding of biological systems. It allows single-cell molecular analyses and conside...
OBJECTIVES: This study aimed to systematically review recent health economic evaluations (HEEs) of artificial intelligence (AI) applications in health...
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing seaso...
BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domai...
Cleaning is one of the fundamental tasks with prime importance given in our day-to-day life. Moreover, the importance of cleaning drives the research ...
As the dynamicity of the traffic increases, the need for self-network operation becomes more evident. One of the solutions that might bring cost savin...
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical imaging applications. However, there is growing co...
OBJECTIVE: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design....
Global competition among businesses imposes a more effective and low-cost supply chain allowing firms to provide products at a desired quality, quanti...
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. The phenomenal growt...
In recent years, as human life expectancy increases, birth rate decreases and health management concerns; the traditional Healthcare imaging system, w...
Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness li...