Latest AI and machine learning research in medicare for healthcare professionals.
Artificial intelligence (AI) is a hot topic in digital health, as automated systems are being adopte...
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using ...
To conduct a survey on the research and development of cable-driven rehabilitation devices (CDRDs)....
A central challenge in human genomics is to understand the cellular, evolutionary, and clinical sign...
An accurate prediction of achievable dose distribution on a patient specific basis would greatly imp...
Geolocators are a well-established technology to reconstruct migration routes of animals that are to...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objecti...
. Effective treatment methods are needed for moderate/severely impairment chronic stroke. . The ques...
There have been many attempts to identify relationships among concepts corresponding to terms from b...
Disabled people are often the anticipated users of scientific and technological products and process...
We consider causal inference in observational studies with choice-based sampling, in which subject e...
BACKGROUND: Large tertiary hospitals usually face long waiting lines; patients who want to receive h...
With the rapid development of high-throughput sequencing technology, a large number of transcript se...
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on h...
This study reviews the technique of convolutional neural network (CNN) applied in a specific field o...
Biometric authentication is the process of recognizing a person by means of his\her psychological or...
In this paper, we introduce a scalable machine learning approach accompanied by open-source software...
The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of th...
The interactive adjustment of the optimization objectives during the treatment planning process has ...
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...