Latest AI and machine learning research in health policy for healthcare professionals.
Stream waters play a crucial role in catering to the world's needs with the required quality of water. Due to the discharges of wastewater from the various point and nonpoint sources, most of the watersheds are contaminated easily. The Upper Green River watershed in Kentucky, USA, is one such watershed that is contaminated over the years due to the runoff from rural areas and agricultural lands an...
The combination of machine learning (ML) and electronic health records (EHR) data may be able to improve outcomes of hospitalized COVID-19 patients through improved risk stratification and patient outcome prediction. However, in resource constrained environments the clinical utility of such data-driven predictive tools may be limited by the cost or unavailability of certain laboratory tests. We le...
This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato tubers for plant cell analysis in deep learning (DL...
Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims...
Road traffic accidents have been listed in the top 10 global causes of death for many decades. Traditional measures such as education and legislation ...
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatme...
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who...
Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predic...
Robotic Inguinal Hernia repair has been associated with higher costs but shorter length of stay. Robotic surgery is an appealing option for patients u...
The unprecedented development of Artificial Intelligence has revolutionised the healthcare industry. In the next generation of healthcare systems, se...
Value-based reimbursement arrangements tie financial incentives to achieving quality measures to ensure savings are not from withholding care. For pat...
Technologies such as machine learning and artificial intelligence have brought about a tremendous change to biomedical computing and intelligence heal...
Artificial intelligence (AI) is making computer systems capable of executing human brain tasks in many fields in all aspects of daily life. The enhanc...
The effectiveness of machine learning models to provide accurate and consistent results in drug discovery and clinical decision support is strongly de...
A mental healthcare system in which the scarce resources are equitably and efficiently allocated, benefits from a predictive model about expected serv...
The proportion of robotic procedures continues to rise. The literature reinforces that robotic procedures take longer and are often more costly. We c...
Innovations in health care are growing exponentially, resulting in improved quality of and access to care, as well as rising societal costs of care an...
The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students...
Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors can affect the composition and levels (concentrat...
U.S. cities contain unknown numbers of undocumented "manufactured gas" sites, legacies of an industry that dominated energy production during the late...