Latest AI and machine learning research in primary care for healthcare professionals.
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. W...
PURPOSE: Fundus images are typically used as the sole training input for automated diabetic retinopa...
General practitioners (GPs) are playing a key role in skin cancer screening. Non-melanoma skin cance...
BACKGROUND: Medical artificial intelligence (AI) has entered the clinical implementation phase, alth...
In a pineapple exporting factory, manual lines are usually built to screen fruits of non-ripen hitti...
Advances in new technologies, when incorporated into routine health screening, have tremendous promi...
OBJECTIVES: This study aimed to develop and validate a deep learning algorithm to screen digitized a...
Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in t...
The landscape of gastrointestinal endoscopy continues to evolve as new technologies and techniques b...
BACKGROUND: Artificial intelligence (AI) is increasingly being proposed for use in medicine, includi...
The early identification of pathogenic mechanisms is essential to predict the incidence and progress...
Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...
Automated acquisition of plant eco-phenotypic information can serve as a decision-making basis for p...
Larger training datasets have been shown to improve the accuracy of machine learning (ML)-based scor...
Scoring functions (SFs) based on complex machine learning (ML) algorithms have gradually emerged as ...
Machine learning-based scoring functions (MLSFs) have attracted extensive attention recently and are...
Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and...
IMPORTANCE: Long QT syndrome (LQTS) is characterized by prolongation of the QT interval and is assoc...
In order to solve the current problems in medical equipment maintenance, this study proposed an inte...
PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accuratel...
Systems medicine (SM) has emerged as a powerful tool for studying the human body at the systems leve...