AI Medical Compendium Topic:
COVID-19

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Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.

Medical & biological engineering & computing
Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential factor in refractive errors and is associated with several pathological corneal conditions. As FP-based examination systems have already been widely distr...

Using artificial intelligence to improve public health: a narrative review.

Frontiers in public health
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of healthcare. AI has been predominantly employed in medicine and healthcare administration. However, in public health, the widespread employment of AI only began re...

Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study.

Scientific reports
The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than six million lives to date and therefore, needs a robust screening technique ...

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting.

Scientific reports
COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pand...

From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

European urology oncology
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...

Blue-emitting SiO-coated Si-doped ZnSeS quantum dots conjugated aptamer-molecular beacon as an electrochemical and metal-enhanced fluorescence biosensor for SARS-CoV-2 spike protein.

Analytica chimica acta
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first reported in early January 2020, continues to devastate the worlds public health system. Herein, we report on the development of a novel metal-enhanced fluore...

Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study.

Journal of medical Internet research
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surveillance systems and simple algorithms often struggle to predict influenza outbreaks in an accurate and timely manner. Big data and modern technology h...

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Scientific reports
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and investigate whether the diagnostic performance of radiologists was improved by referring to our model. Our datasets contained chest X-rays (CXRs) for the following...

A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration.

IEEE journal of biomedical and health informatics
Automatic generation of medical reports can provide diagnostic assistance to doctors and reduce their workload. To improve the quality of the generated medical reports, injecting auxiliary information through knowledge graphs or templates into the mo...

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis.

Sensors (Basel, Switzerland)
Computer vision and deep learning have the potential to improve medical artificial intelligence (AI) by assisting in diagnosis, prediction, and prognosis. However, the application of deep learning to medical image analysis is challenging due to limit...