Latest AI and machine learning research in health policy for healthcare professionals.
In this article, the authors propose an ethical framework for using and sharing clinical data for th...
The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an accept...
AIMS: We conducted a systematic review assessing the reporting quality of studies validating models ...
Nowadays, the focus on the development of assistive devices just for people with mobility disorders ...
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore,...
The digital transformation in dental medicine, based on electronic health data information, is recog...
BACKGROUND: Robotic surgery is seen by many hospital administrators and surgeons as slower and more ...
Artificial intelligence (AI) describes systems capable of making decisions of high cognitive complex...
We propose three quality control (QC) techniques using machine learning that depend on the type of i...
BACKGROUND: Minimal access surgery (MAS) is well-established in urological surgery. However, MAS is ...
As an important factor affecting the mangrove wetland ecosystem, water quality has become the focus ...
Medical image segmentation is one of the most crucial issues in medical image processing and analysi...
To determine the influence of the weight of the economic effectiveness evaluation criteria of the ma...
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but ar...
Reconstructing a "forma mentis", a mindset, and its changes, means capturing how individuals perceiv...
The advancement of glass science has played a pivotal role in enhancing the quality and length of hu...
The ability to visualize and interpret high dimensional time-series data will be critical as wearabl...
OBJECTIVES: To assess the impact on image quality and dose reduction of a new deep learning image re...
Technological advances in big data (large amounts of highly varied data from many different sources ...
BACKGROUND: Next-generation sequencing enables massively parallel processing, allowing lower cost th...
BACKGROUND AND PURPOSE: Healthcare pathways define the execution sequence of clinical activities as ...