Machine learning (ML) in medicine: Review, applications, and challenges
AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …
various industries, especially medicine. AI describes computational programs that mimic and …
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
EH Houssein, Z Abohashima… - Journal of …, 2022 - academic.oup.com
Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19)
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images
ME Sahin - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
One of the most important problems in orthopedics is undiagnosed or misdiagnosed bone
fractures. This can lead to patients receiving an incorrect diagnosis or treatment, which can …
fractures. This can lead to patients receiving an incorrect diagnosis or treatment, which can …
Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques
L Venkataramana, DVV Prasad, S Saraswathi… - Medical & Biological …, 2022 - Springer
Deep learning provides the healthcare industry with the ability to analyse data at exceptional
speeds without compromising on accuracy. These techniques are applicable to healthcare …
speeds without compromising on accuracy. These techniques are applicable to healthcare …
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
The COVID-19 pandemic has created a demand for rapid and accurate testing to detect the
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …
coronavirus, tuberculosis (TB), and pneumonia. Chest X-ray (CXR) images have been used …
Viral pneumonia images classification by Multiple Instance Learning: preliminary results
At the end of 2019, the World Health Organization (WHO) referred that the Public Health
Commission of Hubei Province, China, reported cases of severe and unknown pneumonia …
Commission of Hubei Province, China, reported cases of severe and unknown pneumonia …
Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality
As portable chest X-rays are an efficient means of triaging emergent cases, their use has
raised the question as to whether imaging carries additional prognostic utility for survival …
raised the question as to whether imaging carries additional prognostic utility for survival …
Machine Learning–Based Diagnosis of Covid-19 using Clinical Data
MN Gowda, D Singh, M Rakhra - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Coronavirus (COVID-19) is a worldwide pandemic caused by SARS Coronavirus 2.(SARS-
CoV-2). The COVID-19 epidemic has put global healthcare systems in jeopardy. This study's …
CoV-2). The COVID-19 epidemic has put global healthcare systems in jeopardy. This study's …
Machine learning-based ensemble approach in prediction of lung cancer predisposition using XRCC1 gene polymorphism
A Choudhary, A Anand, A Singh, P Roy… - Journal of …, 2024 - Taylor & Francis
The employment of machine learning approaches has shown promising results in predicting
cancer. In the current study, polymorphisms data of five single nucleotide polymorphisms …
cancer. In the current study, polymorphisms data of five single nucleotide polymorphisms …