Latest AI and machine learning research in exercise & fitness for healthcare professionals.
Carcinogenicity assessment of any compound is a laborious and expensive exercise with several associated ethical and practical concerns. While artificial intelligence (AI) offers promising solutions, unfortunately, it is contingent on several challenges concerning the inadequacy of available experimentally validated (non)carcinogen datasets and variabilities within bioassays, which contribute to t...
As governments and industry turn to increased use of automated decision systems, it becomes essential to consider how closely such systems can reproduce human judgment. We identify a core potential failure, finding that annotators label objects differently depending on whether they are being asked a factual question or a normative question. This challenges a natural assumption maintained in many s...
While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not ...
Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technolo...
Physical rehabilitation techniques during the treatment of clinical pathology are one of the most challenging areas for the medical structure, patient...
Wearable assistive robotics has emerged as a promising technology to supplement or replace motor functions and to retrain people recovering from an in...
Robot-assisted radical prostatectomy (RARP) in men with body mass index (BMI) ≥ 35 kg/m is considered technically challenging. We conducted a retrospe...
Although retroperitoneal surgery has demonstrated a better quality of recovery compared to transperitoneal routes, Retroperitoneal Robot Assisted Part...
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perh...
Most pedestrian detection methods focus on bounding boxes based on fusing RGB with lidar. These methods do not relate to how the human eye perceives o...
Machine learning (ML) models have long overlooked innateness: how strong pressures for survival lead to the encoding of complex behaviors in the nasce...
Building a reliable and precise model for disease classification and identifying abnormal sites can provide physicians assistance in their decision-ma...
BACKGROUND: The aging of the population and the progressive increase in life expectancy in developed countries is leading to a high incidence of cereb...
High resolution poverty mapping supports evidence-based policy and research, yet about half of all countries lack the survey data needed to generate u...
Performing prescribed physical exercises during home-based rehabilitation programs plays an important role in regaining muscle strength and improving ...
Challenging balance training that targets age-related neuromuscular and motor coordination deficits is needed for effective fall prevention therapy. G...
The advent of Artificial Intelligence (AI) and the Internet of Things (IoT) have recently created previously unimaginable opportunities for boosting c...
The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due to its association with morbidity and mortality in ...
Mobile health (mHealth) utilizes mobile devices, mobile communication techniques, and the Internet of Things (IoT) to improve not only traditional tel...
BACKGROUND: This article presents the system architecture and validation of the NeuroSuitUp body-machine interface (BMI). The platform consists of wea...