Latest AI and machine learning research in ethics for healthcare professionals.
Protein secretion has a pivotal role in many biological processes and is particularly important for ...
STUDY DESIGN: Retrospective single center propensity-matched observational cohort study that include...
Long non-coding RNAs (lncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growin...
LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by in...
The author presents his view of the start of clinical medical ethics and ideas on where the broader ...
BACKGROUND: Timely and accurate diagnosis of genetic diseases can lead to proper action and preventi...
The application of machine-learning technologies to medical practice promises to enhance the capabil...
As the last decade of human genomics research begins to bear the fruit of advancements in precision ...
Intramedullary lesions can be challenging to diagnose, given the wide range of possible pathologies....
OBJECTIVES: To describe a newly developed machine-learning (ML) algorithm for the automatic recognit...
BACKGROUND: In Japan, docetaxel, a cytotoxic monotherapy, is the standard drug administered to older...
It is difficult to effectively distinguish the key information of non-stationary dynamic signals in ...
Efficient management of hospitalized patients requires carefully planning each stay by taking into a...
INTRODUCTION: Immune cell functional assay (ImmuKnow®) is a non-invasive method that measures the st...
An Automatic deep learning semantic segmentation (ADLS) using DeepLab-v3-plus technique is proposed ...
Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this ...
Gastrointestinal (GI) diseases are amongst the most painful and dangerous clinical cases, due to ine...
Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to assess blo...
The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about ...
PURPOSE: Clinical TNM staging is a key prognostic factor for patients with lung cancer and is used t...
We sought to describe the incidence, risk factors, and survival outcomes associated with pathologic...