Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

A survey on formal verification and validation techniques for internet of things

M Krichen - Applied Sciences, 2023 - mdpi.com
The Internet of Things (IoT) has brought about a new era of connected devices and systems,
with applications ranging from healthcare to transportation. However, the reliability and …

Olive disease classification based on vision transformer and CNN models

H Alshammari, K Gasmi, I Ben Ltaifa… - Computational …, 2022 - Wiley Online Library
It has been noted that disease detection approaches based on deep learning are becoming
increasingly important in artificial intelligence‐based research in the field of agriculture …

Deep and hybrid learning technique for early detection of tuberculosis based on X-ray images using feature fusion

SM Fati, EM Senan, N ElHakim - Applied Sciences, 2022 - mdpi.com
Tuberculosis (TB) is a fatal disease in developing countries, with the infection spreading
through direct contact or the air. Despite its seriousness, the early detection of tuberculosis …

From immunology to artificial intelligence: revolutionizing latent tuberculosis infection diagnosis with machine learning

LS Li, L Yang, L Zhuang, ZY Ye, WG Zhao… - Military Medical …, 2023 - Springer
Latent tuberculosis infection (LTBI) has become a major source of active tuberculosis (ATB).
Although the tuberculin skin test and interferon-gamma release assay can be used to …

Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features

IA Ahmed, EM Senan, HSA Shatnawi, ZM Alkhraisha… - Diagnostics, 2023 - mdpi.com
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …

Privacy preserved cervical cancer detection using convolutional neural networks applied to pap smear images

S Alsubai, A Alqahtani, M Sha… - … Methods in Medicine, 2023 - Wiley Online Library
Image processing has enabled faster and more accurate image classification. It has been of
great benefit to the health industry. Manually examining medical images like MRI and X‐rays …

Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images

I Haq, T Mazhar, Q Nasir, S Razzaq, SAH Mohsan… - Symmetry, 2022 - mdpi.com
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …

Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework

DO Alebiosu, A Dharmaratne, CH Lim - Expert Systems with Applications, 2023 - Elsevier
Tuberculosis is a bacterial infection that usually affects the lungs; however, it can be treated
if diagnosed earlier. Effective analysis of computed tomography images of lungs captured …

Optical biosensor based on surface plasmon resonance nanostructure for the detection of mycobacterium tuberculosis bacteria with ultra-high efficiency and detection …

MG Daher, SA Taya, AHM Almawgani, AT Hindi… - Plasmonics, 2023 - Springer
Mycobacterium tuberculosis bacteria is an illness that affects many people worldwide. Early
diagnosis is crucial for patient care and can lower the death rate. As a result, sensitive and …