Telemedicine and virtual respiratory care in the era of COVID-19

H Pinnock, P Murphie, I Vogiatzis… - ERJ open …, 2022 - Eur Respiratory Soc
The World Health Organization defines telemedicine as “an interaction between a
healthcare provider and a patient when the two are separated by distance”. The coronavirus …

Advances in diagnostic tools for respiratory tract infections: from tuberculosis to COVID-19–changing paradigms?

Z Stojanovic, F Gonçalves-Carvalho… - ERJ Open …, 2022 - Eur Respiratory Soc
Respiratory tract infections (RTIs) are one of the most common reasons for seeking
healthcare, but are amongst the most challenging diseases in terms of clinical decision …

COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images

HC Reis, V Turk - Artificial Intelligence in Medicine, 2022 - Elsevier
Abstract COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a
contagious and deadly disease that has devastating effects on society and human life …

Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics

PM Khaniabadi, Y Bouchareb, H Al-Dhuhli… - Computers in biology …, 2022 - Elsevier
Objective To develop a two-step machine learning (ML) based model to diagnose and
predict involvement of lungs in COVID-19 and non COVID-19 pneumonia patients using CT …

Direct capacity regeneration for spent Li-ion batteries

N Ogihara, K Nagaya, H Yamaguchi, Y Kondo… - Joule, 2024 - cell.com
With the rapid increase in lithium (Li)-ion battery applications, there is growing interest in the
circulation of large quantities of spent batteries. However, existing recycling systems require …

3D CT-inclusive deep-learning model to predict mortality, ICU admittance, and intubation in COVID-19 patients

A Di Napoli, E Tagliente, L Pasquini, E Cipriano… - Journal of Digital …, 2023 - Springer
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for
assessing lung damage. AI-powered predictive models could be useful to better allocate …

Atypical sites of lymphadenopathy after anti-COVID-19 vaccine: ultrasound features

G Cocco, A Delli Pizzi, AL Taraschi, A Boccatonda… - Medicina, 2022 - mdpi.com
Background and Objectives: Several authors have reported cervical and axillary
lymphadenopathies as known side effects following anti-COVID-19 vaccine administration …

Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review

AG Gillman, F Lunardo, J Prinable, G Belous… - … engineering sciences in …, 2021 - Springer
Objectives: To conduct a systematic survey of published techniques for automated diagnosis
and prognosis of COVID-19 diseases using medical imaging, assessing the validity of …

Multi-omics staging of locally advanced rectal cancer predicts treatment response: a pilot study

I Cicalini, AM Chiarelli, P Chiacchiaretta… - La radiologia …, 2024 - Springer
Abstract Treatment response assessment of rectal cancer patients is a critical component of
personalized cancer care and it allows to identify suitable candidates for organ-preserving …

Therapeutic Potentials of Black Seeds (Nigella sativa) in the Management of COVID-19-A Review of Clinical and In-silico Studies

NM Pakkir Maideen, R Balasubramanian… - Anti-Infective …, 2023 - ingentaconnect.com
Background: Coronavirus disease 2019 (COVID-19) is caused by the severe acute
respiratory syndrome coronavirus-2 (SARS-CoV-2), and patients with COVID-19 are …