Latest AI and machine learning research in us health policy for healthcare professionals.
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practic...
OBJECTIVES: We aimed to assess the performance of radiomics and machine learning (ML) for classifica...
OBJECTIVES: The purpose of this study was to explore the prognostic significance of PTT and PBVi usi...
Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the ...
PURPOSE: To explore the intrinsic functional connectivity (FC) alteration of the primary visual cort...
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We in...
The reliability of machine learning models can be compromised when trained on low quality data. Many...
This review captures some key lessons learned in the course of helping some of America's leading hea...
The combination of computing power, connectivity, and big data has been touted as the future of inno...
Social species rely on the ability to modulate feedback-monitoring in social contexts to adjust one'...
OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our obje...
The clinical application of neuroimaging for psychological complaints has so far been limited to the...
With the increasing legalization of medical and recreational use of cannabis, more research is neede...
Frying affects the nutritional quality of fish detrimentally. In this study, using Catla catla and m...
Health system data incompletely capture the social risk factors for drug overdose. This study aimed ...
We assessed the generalizability of deep learning models and how to improve it. Our exemplary use-ca...
Software defect prediction (SDP) in the initial period of the software development life cycle (SDLC)...
OBJECTIVES: To build and validate random forest (RF) models for the classification of bone tumors ba...
BACKGROUND: Robotic prostatectomy is a costly new technology, but the costs may be offset by changes...
BACKGROUND: Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. It...
PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/mi...