Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Deep learning (DL) prediction models hold great promise in the triage of COVID-19.
PD-L1 is a key immunotarget involved in binding to its receptor PD-1. PD-L1/PD-1 interface blocking ...
Event-based visual, a new visual paradigm with bio-inspired dynamic perception and ÎĽs level temporal...
UNLABELLED: Hepatic hemangioma (HH) and hepatoblastoma (HBL) are common pediatric liver tumors and p...
Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure tha...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...
INTRODUCTION: Acute poisoning is a significant global health burden, and the causative agent is ofte...
The latest variant of coronavirus is omicron. The World Health Organization (WHO) designated variati...
PURPOSE: As of March 2023, the number of patients with COVID-19 worldwide is declining, but the earl...
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as arti...
The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for th...
BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) has demonstrated ...
Covid-19 has swept the world since 2020, taking millions of lives. In order to seek a rapid diagnosi...
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency D...
The primary aim of this research was to investigate potential differences of breast tumor morphologi...
The vulnerability of coastal regions to climate change is a growing global concern, particularly in ...
This review discusses the use of artificial intelligence (AI) algorithms in noninvasive prediction o...
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the devel...
Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomogra...
BACKGROUND: Social assistant robots (SARs) are an important part of providing high quality health an...
Machine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and ...