Cough sound detection and diagnosis using artificial intelligence techniques: challenges and opportunities
Coughing is a common symptom of several respiratory diseases. The sound and type of
cough are useful features to consider when diagnosing a disease. Respiratory infections …
cough are useful features to consider when diagnosing a disease. Respiratory infections …
[HTML][HTML] Unleashing the power of artificial intelligence for diagnosing and treating infectious diseases: A comprehensive review
AA Rabaan, MA Bakhrebah, J Alotaibi, ZS Natto… - Journal of Infection and …, 2023 - Elsevier
Infectious diseases present a global challenge, requiring accurate diagnosis, effective
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …
treatments, and preventive measures. Artificial intelligence (AI) has emerged as a promising …
[HTML][HTML] Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
Chest X-ray images are used in deep convolutional neural networks for the detection of
COVID-19, the greatest human challenge of the 21st century. Robustness to noise and …
COVID-19, the greatest human challenge of the 21st century. Robustness to noise and …
Meet ML. NET
S Mukherjee, S Mukherjee - ML. NET Revealed: Simple Tools for Applying …, 2021 - Springer
Abstract Machine learning is nothing but a means of enabling the computer to have a
sophisticated sense of proximity between several things. Let me elaborate that point for you …
sophisticated sense of proximity between several things. Let me elaborate that point for you …
Ai for COVID-19 detection from radiographs: Incisive analysis of state of the art techniques, key challenges and future directions
Background and objective In recent years, Artificial Intelligence has had an evident impact
on the way research addresses challenges in different domains. It has proven to be a huge …
on the way research addresses challenges in different domains. It has proven to be a huge …
More unique, more accepting? Integrating sense of uniqueness, perceived knowledge, and perceived empathy with acceptance of medical artificial intelligence
Z Cai, H He, W Huo, X Xu - International Journal of Human …, 2024 - Taylor & Francis
Artificial intelligence (AI) has had a profound impact on the medical industry. As the ultimate
consumers, patients' acceptance of medical AI plays an important role in realizing its …
consumers, patients' acceptance of medical AI plays an important role in realizing its …
WITHDRAWN: Recurrent neural network based prediction of number of COVID-19 cases in India
KSS Reddy, YCAP Reddy, CM Rao - 2020 - Elsevier
Withdrawal Notice WITHDRAWN: Recurrent neural network based prediction of number of
COVID-19 cases in IndiaK. Shyam Sunder Reddy a, â‡', YCA Padmanabha Reddy b, Ch …
COVID-19 cases in IndiaK. Shyam Sunder Reddy a, â‡', YCA Padmanabha Reddy b, Ch …
Internet of things enabled convolutional neural networks: applications, techniques, challenges, and prospects
The Internet of Things (IoT) has been proven useful for the interconnection of computing
devices embedded in objects to enable objects to send and receive data through the …
devices embedded in objects to enable objects to send and receive data through the …
Improving and externally validating mortality prediction models for COVID-19 using publicly available data
We conducted a systematic survey of COVID-19 endpoint prediction literature to:(a) identify
publications that include data that adhere to FAIR (findability, accessibility, interoperability …
publications that include data that adhere to FAIR (findability, accessibility, interoperability …