Latest AI and machine learning research in ethics for healthcare professionals.
BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...
Twelve to 66% of patients with clinically non-functioning pituitary adenoma (NFPA) experience tumor ...
PURPOSE: This study aimed to investigate the deep learning model (DLM) combining computed tomography...
BACKGROUND: Sarcopenia has been confirmed as a poor prognostic indicator of lung cancer. However, th...
BACKGROUND: Textual corpora are extremely important for various NLP applications as they provide inf...
Cerebral computed tomography angiography is a widely available imaging technique that helps in the d...
The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, acad...
Long non-coding RNAs (lncRNAs) play crucial roles in diverse biological processes and human complex ...
At present, the traditional scoring methods generally utilize laboratory measurements to predict mor...
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. ...
This article presents a mapping review of the literature concerning the ethics of artificial intelli...
The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produc...
Scar tissues have been important factors in determining the progression of myocardial diseases and t...
Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. Howeve...
Maps of disease burden are a core tool needed for the control and elimination of malaria. Reliable r...
Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathet...
Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of s...
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall surv...
PURPOSE OF REVIEW: There is conflicting data on the effectiveness of the currently recommended endos...
The study investigates bipartite synchronization of inertial coupled delayed neural networks (ICDNNs...
This systematic review sought to evaluate the effectiveness of non-facilitated meaningful activities...