The association between COVID-19 related anxiety, stress, depression, temporomandibular disorders, and headaches from childhood to adulthood: a systematic …
G Minervini, R Franco, MM Marrapodi, V Mehta… - Brain Sciences, 2023 - mdpi.com
Objective: The coronavirus belongs to the family of Coronaviridae, which are not branched
single-stranded RNA viruses. COVID-19 creates respiratory problems and infections ranging …
single-stranded RNA viruses. COVID-19 creates respiratory problems and infections ranging …
Investigation on the application of artificial intelligence in prosthodontics
AAF Alshadidi, AA Alshahrani, LIN Aldosari… - Applied Sciences, 2023 - mdpi.com
Artificial intelligence (AI) is a contemporary, information-driven innovative technology.
Prosthetic dentistry, also known as prosthodontics, is the restoration and reconstruction of …
Prosthetic dentistry, also known as prosthodontics, is the restoration and reconstruction of …
[HTML][HTML] A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images
H Bhatt, M Shah - Healthcare Analytics, 2023 - Elsevier
Pneumonia is a respiratory infection caused by microbes and other environmental factors. It
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …
Analyzing the effect of filtering and feature-extraction techniques in a machine learning model for identification of infectious disease using radiography imaging
J Rasheed - Symmetry, 2022 - mdpi.com
The massive adaptation of reverse transcriptase-polymerase chain reaction (RT-PCR) has
facilitated efforts to battle against the COVID-19 pandemic that has inflicted millions of …
facilitated efforts to battle against the COVID-19 pandemic that has inflicted millions of …
The use of artificial intelligence in diagnostic medical imaging: systematic literature review
L Hafizović, A Čaušević, A Deumić… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
Diagnostic medical imaging and the interpretation of the imaging results pose a great
challenge for the medical profession as the final conclusions are highly susceptible to …
challenge for the medical profession as the final conclusions are highly susceptible to …
Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis
Background Since AI algorithms can analyze patient data, medical records, and imaging
results to suggest treatment plans and predict outcomes, they have the potential to support …
results to suggest treatment plans and predict outcomes, they have the potential to support …
Gaucher: a systematic review on oral and radiological aspects
G Minervini, R Franco, MM Marrapodi, V Mehta… - Medicina, 2023 - mdpi.com
Background and Objectives: Gaucher disease (GD) is a lysosomal storage disorder with the
genetic autosomal recessive transmission. Bone involvement is a prevalent finding in …
genetic autosomal recessive transmission. Bone involvement is a prevalent finding in …
Attention-guided multiple instance learning for COPD identification: To combine the intensity and morphology
Chronic obstructive pulmonary disease (COPD) is a complex and multi-component
respiratory disease. Computed tomography (CT) images can characterize lesions in COPD …
respiratory disease. Computed tomography (CT) images can characterize lesions in COPD …
Using artificial intelligence in diagnostics of meningitis
L Šeho, H Šutković, V Tabak, S Tahirović, A Smajović… - IFAC-PapersOnLine, 2022 - Elsevier
Meningitis is a serious condition caused by inflammation of meninges which are protective
layers of membranes for the brain and spinal cord. The aim of this study is to help diagnose …
layers of membranes for the brain and spinal cord. The aim of this study is to help diagnose …
Machine learning-assisted prediction of pneumonia based on non-invasive measures
Background Pneumonia is an infection of the lungs that is characterized by high morbidity
and mortality. The use of machine learning systems to detect respiratory diseases via non …
and mortality. The use of machine learning systems to detect respiratory diseases via non …