Internet of medical things (IoMT): Overview, emerging technologies, and case studies
S Razdan, S Sharma - IETE technical review, 2022 - Taylor & Francis
In the Internet of Medical Things (IoMT), the Internet of Things (IoT) is integrated with medical
devices, enabling improved patient comfort, cost-effective medical solutions, quick hospital …
devices, enabling improved patient comfort, cost-effective medical solutions, quick hospital …
Artificial intelligence in drug discovery and development
KK Mak, YH Wong, MR Pichika - Drug Discovery and Evaluation: Safety …, 2023 - Springer
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …
discovery and development, encapsulating its potentials, methodologies, real-world …
[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Improving the prediction of heart failure patients' survival using SMOTE and effective data mining techniques
Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver
impressive performance in many clinical tasks. Large training cohorts, however, are often …
impressive performance in many clinical tasks. Large training cohorts, however, are often …
[HTML][HTML] Artificial intelligence in health care: bibliometric analysis
Background As a critical driving power to promote health care, the health care–related
artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …
artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …
[HTML][HTML] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
H Siala, Y Wang - Social Science & Medicine, 2022 - Elsevier
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare
have emerged as AI becomes increasingly applicable and technologically advanced. The …
have emerged as AI becomes increasingly applicable and technologically advanced. The …
Multi-disease prediction based on deep learning: a survey
S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …
AI's research in the medical field have allowed people to see the excellent prospects of the …
A framework for AI-powered service innovation capability: Review and agenda for future research
S Akter, MA Hossain, S Sajib, S Sultana, M Rahman… - Technovation, 2023 - Elsevier
Artificial intelligence (AI)-powered service innovation (eg, OpenAI's ChatGPT, Google's Bard
and Microsoft's Sydney) has become one of the most significant determinants of firms' …
and Microsoft's Sydney) has become one of the most significant determinants of firms' …
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19
patients with pneumonia. However, the similarity between features of CXR images of COVID …
patients with pneumonia. However, the similarity between features of CXR images of COVID …