AI Medical Compendium Topic:
Pandemics

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DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images.

Journal of X-ray science and technology
BACKGROUND: COVID-19 needs to be diagnosed and staged to be treated accurately. However, prior studies' diagnostic and staging abilities for COVID-19 infection needed to be improved. Therefore, new deep learning-based approaches are required to aid r...

From the Editors.

Healthcare quarterly (Toronto, Ont.)
There is no doubt that 2023 was a very difficult year for many Canadians, as well as people across the world. War caused massive upheaval globally, inflation continued to impose financial hardship on families and our health systems experienced anothe...

Preparation and Challenges in Developing a Big Data Analysis Framework in Occupational Medicine in Indonesia.

Journal of UOEH
This mini review explores the transformative potential of big data analysis and artificial intelligence (AI) in reforming occupational medicine in Indonesia. Emphasizing the preconditions, case studies, and benefits, it underscores the role of big da...

A Novel Approach to the Technique of Lung Region Segmentation Based on a Deep Learning Model to Diagnose COVID-19 X-ray Images.

Current medical imaging
BACKGROUND: The novel coronavirus pandemic has caused a global health crisis, placing immense strain on healthcare systems worldwide. Chest X-ray technology has emerged as a critical tool for the diagnosis and treatment of COVID-19. However, the manu...

Accelerating COVID-19 Drug Discovery with High-Performance Computing.

Methods in molecular biology (Clifton, N.J.)
The recent COVID-19 pandemic has served as a timely reminder that the existing drug discovery is a laborious, expensive, and slow process. Never has there been such global demand for a therapeutic treatment to be identified as a matter of such urgenc...

Machine learning models to predict surgical case duration compared to current industry standards: scoping review.

BJS open
BACKGROUND: Surgical waiting lists have risen dramatically across the UK as a result of the COVID-19 pandemic. The effective use of operating theatres by optimal scheduling could help mitigate this, but this requires accurate case duration prediction...