Latest AI and machine learning research in preventive care for healthcare professionals.
Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss of lives. Clinical tria...
Machine-learning (ML)-based scoring functions (MLSFs) have gradually emerged as a promising alternat...
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19 patien...
BACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may hel...
Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk in...
AIMS: Early detection of aortic stenosis (AS) is becoming increasingly important with a better outco...
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...
BACKGROUND: Medical artificial intelligence (AI) has entered the clinical implementation phase, alth...
OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important t...
Vaccination is one of the most significant inventions in medicine. Reverse vaccinology (RV) is a sta...
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...
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...
OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in UK. Symptomatic patients are ...
Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized...
MOTIVATION: Identification of blood-brain barrier (BBB) permeability of a compound is a major challe...
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 ...