Latest AI and machine learning research in refractive surgery for healthcare professionals.
Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular carcinoma (HCC) is an area of active investigation, and several staging systems have been proposed to optimize treatment strategies. However, as many as 70% of patients still experience tumor recurrence at 5 years post-surgery. We developed and validated a deep learning-based system (HCC-SurvNet) th...
COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of December 21, 2020. The primary cause of death due to COVID-19 is Acute Respiratory Distress Syndrome (ARDS). According to the World Health Organization (WHO), people who are at least 60 years old or have comorbidities that have primarily been targeted are at the highest risk from SARS-CoV-2. Medical ima...
Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain...
BACKGROUND AND OBJECTIVES: Pathological myopia (PM) is the seventh leading cause of blindness, with a reported global prevalence up to 3%. Early and a...
There has been substantial interest in developing techniques for synthesizing CT-like images from MRI inputs, with important applications in simultane...
BACKGROUND/AIMS: To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions i...
OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dre...
Artificial intelligence (AI) has huge potential to improve the health and well-being of people, but adoption in clinical practice is still limited. La...
BACKGROUND: Adhesive capsulitis (frozen shoulder) is characterised by pain and loss of range of motion of the glenohumeral joint. It can be present as...
This pilot study explores the possibility of predicting post-concussion symptom recovery at one week post-injury using only objective diffusion tensor...
We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the anatomical plausibility of arbitrary biomedical i...
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervention (PCI) is common and costly. Risk models for pr...
Recently, deep learning frameworks have rapidly become the main methodology for analyzing medical images. Due to their powerful learning ability and a...
Robotic seals have been studied in long-term care settings; though, no studies of patients with dementia in the acute care setting have been reported....
Understanding predator-prey interactions and food web dynamics is important for ecosystem-based management in aquatic environments, as they experience...
 The present paper aims to (1) verify the incidence and volume of blood transfusion among patients undergoing unilateral cemented total knee arthropl...
The objective of the study was to assess endoscopic coblation adenoidectomy and conventional cold curettage adenoidectomy in terms of safety and effic...
When performing structural inspection, the generation of three-dimensional (3D) point clouds is a common resource. Those are usually generated from ph...
Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, th...
BACKGROUND: Erector spinae plane (ESP) block is a recently described interfacial block, and since 2016, studies have shown that it is a safe technique...