Publications by authors named "A M Husain"
Article Synopsis
- Artificial intelligence (AI) is increasingly being used in healthcare, particularly in neonatal intensive care units (NICUs), where large data sets can improve the diagnosis and treatment of conditions like sepsis and bronchopulmonary dysplasia.
- The article discusses various machine learning (ML) models, their development process, and the need for a standardized framework to evaluate their performance in clinical settings, emphasizing how this understanding is key for effective implementation.
- Challenges such as ensuring model generalizability, ethical issues, and the importance of regular performance monitoring are highlighted, along with future directions calling for collaboration and equitable access to AI technologies in healthcare.
Background: Predicting mortality risk in neonatal intensive care units (NICUs) is challenging due to complex, variable clinical and physiological data. Machine learning (ML) offers potential for more accurate risk stratification.
Objective: To compare the performance of various ML models in predicting NICU mortality using a team-based modeling competition.
Background: No data compare newer-generation transcatheter heart valves (THVs) in terms of next-day discharge (NDD) following transfemoral (TF) transcatheter aortic valve implantation (TAVI).
Aims: We aimed to evaluate the safety of NDD in unselected patients who received ACURATE (neo/neo2), Evolut (PRO/PRO+/FX) and the SAPIEN (3/Ultra) THVs.
Methods: This multicentre registry included patients who underwent TF-TAVI without a preprocedural permanent pacemaker implantation (PPI) and were discharged the next day without a new PPI.
Technical insights of clean and sustainable photocatalytic concrete: A scientometric analysis-aided review.
Environ Sci Pollut Res Int
November 2024
Air quality has deteriorated rapidly in recent decades due to exponential economic growth, necessitating effective solutions to mitigate pollution. One promising approach is the use of photocatalytic concrete containing TiO, which, when activated by sunlight, can degrade various contaminants. This study provides a comprehensive scientometric-based review of research on photocatalytic concrete, focusing on literature published between 1997 and 2024.
View Article and Find Full Text PDFWe report a method for generating uniform, artifact-free total internal reflection fluorescence (TIRF) excitation via a photonic lantern. Our tapered waveguide, consisting of a multimode input and nine few-mode outputs, enables single-shot TIRF illumination from nine azimuthal directions simultaneously without the introduction of nonstationary devices. Utilizing the photonic lantern for multi-beam excitation provides a low-loss mechanism that supports a wide range of light sources, including high-coherence lasers and various wavelengths in the visible spectrum.
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