Publications by authors named "M Ziyad Abubacker"
Article Synopsis
- The study explores how radiology staff perceives an AI tool designed to expedite lung cancer detection in chest X-rays, surveying staff before and after its implementation.
- Initial expectations of the AI being time-saving shifted post-implementation to focus on faster patient follow-ups and a recognition of benefits despite integration challenges.
- Ongoing staff feedback and support are crucial for a smooth AI integration in clinical settings, fostering a positive adaptation towards its usage in patient care.
Article Synopsis
- Some patients who were badly sick from COVID-19 had ongoing problems like trouble thinking, moving, and feeling sad or anxious after they got better.
- This study looked at 243 adults who went to a special rehab center in Qatar to see how much their health changed after getting help for these COVID-19 issues.
- The study found that most of the patients were men, and they used various tests to measure how well the patients were doing before and after their rehabilitation program.
Background And Purpose: A growing field of interest is exploration of the functional outcomes of post-coronavirus disease 2019 (COVID-19) patients with stroke after rehabilitation. The association between stroke and COVID-19 infection is still being studied. We had explored the functional gain in post-COVID-19 patients with stroke following active rehabilitation services in Qatar to understand the possible predictors of functional gain.
View Article and Find Full Text PDFBackground: New York City (NYC) has endured the greatest burden of COVID-19 infections in the US. Health inequities in South Bronx predisposed this community to a large number of infectious cases, hospitalizations, and mortality. Health care workers (HCWs) are at a high risk of exposure to the infection.
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