With the rapid rise of artificial intelligence, smart senior care has become a new trend for future development. The collection of "Typical Cases of Chinese Elderly Service Industry Development" is selected by the script materials. The main purpose o...
BACKGROUND: Caroli's syndrome is a rare disease characterised by non-obstructive dilation of intrahepatic bile ducts, hepatic fibrosis, and an increased risk of developing cholangiocarcinoma. Minimally invasive liver resection has recently been incre...
The three horizons model is a framework that helps manage an organization's innovation strategy. This model considers three aspects (horizons) that should be present in the institution and guide the development of new systems. Applied to medical scie...
Efficient, adaptive, locomotor function is critically important for maintaining our health and independence, but falls-related injuries when walking are a significant risk factor, particularly for more vulnerable populations such as older people and ...
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purpose To develop and to validate a deep learning (DL)-based tool able to detect pancreatic cancer at CT. Materials and Methods Retrospectively collected...
Robot-assisted simple prostatectomy (RASP) has demonstrated better peri-operative outcomes as compared to open simple prostatectomy. However, RASP is still limited by platform availability and cost-effectiveness issues. The new surgical robots increa...
BACKGROUND: Postoperative major adverse cardiovascular events (MACEs) account for more than one-third of perioperative deaths. Geriatric patients are more vulnerable to postoperative MACEs than younger patients. Identifying high-risk patients in adva...
Journal of environmental and public health
Sep 10, 2022
This perceptual study focuses on developing artificial intelligence for elderly care design. It analyses and discusses the role of artificial intelligence in elderly care and its application to physiotherapy care. Artificial intelligence, as an emerg...
Clinical orthopaedics and related research
Sep 9, 2022
BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractur...
OBJECTIVE: Spinal robotics for thoracolumbar procedures, predominantly employed for the insertion of pedicle screws, is currently an emerging topic in the literature. The use of robotics in instrumentation of the cervical spine has not been broadly e...
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