Publications by authors named "S Aman"
Article Synopsis
- Acute arboviral infections, especially dengue, affect millions in tropical regions, with Asia being the most impacted; Bangladesh faced a major outbreak in 2019, prompting an extensive study in Dhaka.
- The study, conducted across three medical centers, involved nearly 2000 participants to explore clinical variations in severe dengue and to identify serotypes, enhancing understanding of the virus's behavior.
- Results indicated that severe cases were predominantly in younger males, with digestive symptoms more common in severe cases, while a small percentage of patients experienced fatal outcomes, highlighting the serious health and socioeconomic burden of dengue.
In the past few decades, there has been a gradual increase in breast reconstruction post mastectomy; however, there exists a conflict about whether race has an influence on reconstruction rates. We conducted an electronic search from MEDLINE and Cochrane CENTRAL from their inception to September 2022. Primary outcome was disparity in rates of Immediate Breast Reconstruction (IBR) in racial minorities.
View Article and Find Full Text PDFThe recent high-energy density sodium (Na) metal batteries (SMBs) are restricted by their processability, lifetime, and safety. These issues can be addressed by controlling the reactions at the Na metal by modifying the Na metal anode (SMA) with the sodiophilic hosts. Herein, a multifunctional NaSe/Zn-Mn skeleton is introduced for SMA and fabricate a processable Na@NaSe/Zn-Mn composite using repeated cold rolling/folding approach through the spontaneous reaction between Na metal and ZnMnSe alloy.
View Article and Find Full Text PDFArtificial intelligence in corneal diseases: A narrative review.
Cont Lens Anterior Eye
December 2024
Article Synopsis
- Corneal diseases are increasingly problematic, especially in areas with limited eye care resources, but AI can help automate their diagnosis and management.
- This review highlights AI’s effectiveness in diagnosing various corneal conditions, showing it often surpasses human accuracy by using combined imaging and clinical data.
- Although there are challenges like diverse patient populations and the complexity of AI models, advancements in explainable AI and better data handling can improve the situation.