Journal of neuroengineering and rehabilitation
Dec 18, 2021
INTRODUCTION: Conflicting results persist regarding the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in post-stroke survivors. We used several machine learning algorithms to construct prediction models for the f...
BMC medical informatics and decision making
Dec 18, 2021
BACKGROUND: Information retrieval (IR) help clinicians answer questions posed to large collections of electronic medical records (EMRs), such as how best to identify a patient's cancer stage. One of the more promising approaches to IR for EMRs is to ...
BMC medical informatics and decision making
Dec 18, 2021
BACKGROUND: Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of training and test data, especially in the biomedical domain. Despite the abundance of unstructured biomed...
Our artificial intelligence platform facilitated, evaluated, and provided real-time feedback on a standardized, simulated conversation. Learners evaluated the experience as equally effective to traditional education modalities and reported that it re...
SLAS discovery : advancing life sciences R & D
Dec 17, 2021
BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But the identification of immune attributes of genes is costly and time-consuming, which leads to an urgent demand to develop a prediction model.
Computer methods and programs in biomedicine
Dec 17, 2021
BACKGROUND AND OBJECTIVE: A novel research field in bioinformatics is pharmacogenomics and the corresponding applications of artificial intelligence tools. Pharmacogenomics is the study of the relationship between genotype and responses to medical me...
Cyberpsychology, behavior and social networking
Dec 17, 2021
A growing number of sectors are delivering customer services powered by artificial intelligence (AI) instead of humans, with evidence indicating labor cost reduction and efficiency improvement. However, it would be worthwhile to examine the extent to...
Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosis. However, the boundary shapes and area sizes of the target region tend to be diverse and flexible. And the frequent applications of pooling operatio...
Journal of cardiovascular computed tomography
Dec 17, 2021
BACKGROUND: Low-dose computed tomography (LDCT) are performed routinely for lung cancer screening. However, a large amount of nonpulmonary data from these scans remains unassessed. We aimed to validate a deep learning model to automatically segment a...
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