Usefulness of smartphone use among surgeons in clinical practice during the pandemic of COVID-19: a cross-sectional study

Application of smartphone-based infrared thermography devices for ocular surface thermal imaging

Infrared thermography (IRT) is a well-known imaging technique that provides a non-invasive displaying of the ocular surface temperature distribution. Currently, compact smartphone-based IRT devices, as well as special software for processing thermal images, have become available. The study aimed to determine the possible use of smartphone-based IRT devices for real-time ocular surface thermal imaging. This study involved 32 healthy individuals (64 eyes); 10 patients (10 eyes) with proliferative diabetic retinopathy (PDR) and absolute glaucoma; 10 patients (10 eyes) with PDR, who underwent vitreoretinal surgery. In all cases, simultaneous ocular surface IRT of both eyes was performed. In healthy individuals, the ocular surface temperature (OST) averaged 34.6 ± 0.8 °C and did not differ substantially between the paired eyes, in different age groups, and after pupil dilation. In our study, high intraocular pressure was accompanied by a decrease in OST in all cases. After vitreoretinal surgery in cases with confirmed subclinical inflammation, the OST was higher than the baseline and differed from that of the paired eye by more than 1.0 °C. These results highlight that smartphone-based IRT imaging could be useful for the non-invasive detection of OST asymmetry between paired eyes due to increased intraocular pressure or subclinical inflammation.

Software-driven secure framework for mobile healthcare applications in IoMT

The traditional healthcare systems require more data storage and not a quick responsive mode. The new era of intelligent healthcare systems uses advanced frameworks and devices to work with Internet of things (IoT), Cloud Computing, edge computing devices, and the Internet of Medical Things (IoMT). These technology adoptions may drastically increase healthcare systems performance and are available anytime and anywhere to replace traditional medical methods – the organizations in the network exchange the patient data that has been gathered. The healthcare systems are therefore susceptible to a variety of threats. The attacker may exploit many attacks during the transmission. This paper introduces a novel mechanism of A Secure Robust Privacy-Preserving Authentication and Key Agreement Framework for Mobile Healthcare Applications. The proposed framework collects the patient’s data using wearable devices called sensors, and the collected data is shared with various entities using a secure mechanism. The proposed framework uses Elliptic Curve Cryptography (ECC). Digital sign is created and validated through the Elliptic Curve Digital Signature Algorithm (ECDSA). Security properties of the proposed framework are analyzed through standard model checking tool Automated Validation of Internet Security Protocols (AVISPA). The suggested protocol is simple to develop and can withstand network-related threats.