Background: The number of patient online reviews (PORs) has grown significantly, and
PORs have played an increasingly important role in patients' choice of health care providers …

Background: Crowdsourcing uses online platforms to collect large data from laypersons and
has been increasingly used over the past 5 years to answer questions about aesthetic and …

Objective To develop deep learning models to recognize ophthalmic examination
components from clinical notes in electronic health records (EHR) using a weak supervision …

Background Systematic reviews (SRs) are often cited as the highest level of evidence
available as they involve the identification and synthesis of published studies on a topic …

Background Robotic-assisted gynecologic surgery is common, but requires unique training.
A validated assessment tool for evaluating trainees' robotic surgery skills is Robotic …

Background Collective intelligence, facilitated by information technology or manual
techniques, refers to the collective insight of groups working on a task and has the potential …

Background: Multiple sclerosis has an extremely variable natural course. In most patients,
disease starts with a relapsing-remitting (RR) phase, which proceeds to a secondary …

X-ray computed tomography (CT) is a powerful technique for non-destructive volumetric
inspection of objects and is widely used for studying internal structures of a large variety of …

Ophthalmology is a suitable field for telehealth integration given technology's advancement
in capturing images and transmitting data. Since the 19th century, with the first photograph of …

In current Android architecture, users have to decide whether an app is safe to use or not.
Expert users can make savvy decisions to avoid unnecessary privacy breach. However, the …