Latest AI and machine learning research in us health policy for healthcare professionals.
Minimally invasive surgery (MIS) has improved surgical access to the foregut. While the benefits of MIS versus open surgery are well accepted, the relative benefits of laparoscopic versus robotic approaches continue to be debated. Procedure-specific comparisons are difficult to obtain for Heller myotomy, due to the relative rarity of the procedure in most practices. A retrospective review of prosp...
Robotic Inguinal Hernia repair has been associated with higher costs but shorter length of stay. Robotic surgery is an appealing option for patients undergoing elective hernia surgery however given the high startup, maintenance and operating costs, the adoption of robotic technology may not guarantee increased profitability. Our hypothesis is that the introduction of robotic technology increases t...
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...
Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admi...
This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, studies its ability to distinguish benign and maligna...
The fuzzy C -means (FCM) clustering procedure is an unsupervised form of grouping the homogenous pixels of an image in the feature space into clusters...
The human-in-the-loop cyber-physical system provides numerous solutions for the challenges faced by the doctors or medical practitioners. There is a l...
Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for eth...
This research introduces a polymeric nanosphere as a new dispersive solid phase extraction (DSPE) adsorbent for the extraction of methylphenidate (MP...
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specif...
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for materia...
There are various lignocellulosic biomass pretreatments that act as attractive strategies to improve anaerobic digestion for methane (CH) generation. ...
(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs ...
Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the similarity of disease manifestations to more preva...
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We included 304 cognitively normal individuals from the...
The reliability of machine learning models can be compromised when trained on low quality data. Many large-scale medical imaging datasets contain low ...
Social species rely on the ability to modulate feedback-monitoring in social contexts to adjust one's actions and obtain desired outcomes. When being ...
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression...
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algo...
We assessed the generalizability of deep learning models and how to improve it. Our exemplary use-case was the detection of apical lesions on panorami...