Publications by authors named "Haneya Qureshi"
Article Synopsis
- Wireless connectivity issues can harm the effectiveness of medical devices, posing risks to patient safety.
- 5G technology in healthcare, especially with moving patients (like in ambulances), faces unique connectivity challenges.
- The article discusses practical solutions, trade-offs, and suggests areas for future research to improve reliable 5G communication in healthcare.
An AI-Enabled Bias-Free Respiratory Disease Diagnosis Model Using Cough Audio.
Bioengineering (Basel)
January 2024
Article Synopsis
- Researchers are developing a new AI model called RBF-Net to improve cough-based diagnosis for respiratory diseases (RDs) by addressing confounding variables that can skew results.
- RBF-Net combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to counteract the effects of confounders like gender, age, and smoking status while predicting RDs.
- In tests, RBF-Net demonstrated superior accuracy over existing models, showcasing its effectiveness even in biased training scenarios using diverse COVID-19 datasets.
The fifth generation of cellular network (5G) can facilitate in-ambulance patient monitoring, diagnosis, and treatment by a remote specialist. However, 5G coverage and link quality can vary in time and location. The ambulance route selection can help meet the communication requirements of the in-ambulance applications.
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- 5G and Beyond 5G (B5G) networks have the potential to revolutionize healthcare by enhancing speed, connectivity, reliability, and capacity while reducing latency, enabling new applications.
- Service Level Agreements (SLAs) are essential for outlining communication needs and performance expectations among stakeholders in 5G healthcare, but there are specific challenges related to 5G implementations that need addressing.
- The article emphasizes the necessity of tackling these challenges and developing effective SLAs to ensure a safe and efficient integration of 5G technology into the healthcare sector.
5G and beyond networks will transform the healthcare sector by opening possibilities for novel use cases and applications. Service level agreements (SLAs) can enable 5G-enabled medical device use cases by documenting how a medical device communication requirements are met by the unique characteristics of 5G networks and the roles and responsibilities of the stakeholders involved in offering safe and effective 5G-enabled healthcare to patients. However, there are gaps in this space that should be addressed to facilitate the efficient implementation of 5G technology in healthcare.
View Article and Find Full Text PDFFifth generation (5G) mobile communication technology can enable novel healthcare applications and augment existing ones. However, 5G-enabled healthcare applications demand diverse technical requirements for radio communication. Knowledge of these requirements is important for developers, network providers, and regulatory authorities in the healthcare sector to facilitate safe and effective healthcare.
View Article and Find Full Text PDFBackground: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on cough-based diagnosis of respiratory diseases, we propose, develop and test an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app.
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