The use of artificial intelligence in the treatment of rare diseases: A scoping review
D He, R Wang, Z Xu, J Wang, P Song… - Intractable & Rare …, 2024 - jstage.jst.go.jp
With the increasing application of artificial intelligence (AI) in medicine and healthcare, AI
technologies have the potential to improve the diagnosis, treatment, and prognosis of rare …
technologies have the potential to improve the diagnosis, treatment, and prognosis of rare …
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Y Li, RA Frederick, D George, S Cogan… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The safe delivery of electrical current to neural tissue depends on many factors,
yet previous methods for predicting tissue damage rely on only a few stimulation …
yet previous methods for predicting tissue damage rely on only a few stimulation …
[HTML][HTML] Identication and validation of cell senescence biomarkers in idiopathic pulmonary hypertension via integrated transcriptome analyses and machine learning
W Lu, J Xu, Y Chen, J Huang, Q Shen, F Sun… - Experimental …, 2023 - Elsevier
Background Idiopathic pulmonary hypertension (IPAH) is a rare and severe disease that
affects the pulmonary vasculature. As the diagnosis of IPAH requires invasive right heart …
affects the pulmonary vasculature. As the diagnosis of IPAH requires invasive right heart …
[HTML][HTML] Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study
Background The delay in diagnosis for rare disease (RD) patients is often longer than for
patients with common diseases. Machine learning (ML) technologies have the potential to …
patients with common diseases. Machine learning (ML) technologies have the potential to …
The Role of Artificial Intelligence in the Diagnosis of Neoplastic Diseases: A Systematic and Bibliometric Review.
H Espinoza Villavicencio… - … Journal of Online & …, 2024 - search.ebscohost.com
Artificial intelligence (AI) has significantly transformed the medical field, especially in the
diagnosis, treatment, and management of oncological diseases. It has had a profound …
diagnosis, treatment, and management of oncological diseases. It has had a profound …
[PDF][PDF] Would Artificial Intelligence Improve the Quality of Care of Patients With Rare Diseases?
HJ Abukhadijah, AJ Nashwan - Global Journal on …, 2024 - meridian.allenpress.com
Rare diseases are characterized by low prevalence, they affect 4–5 patients per 10,000
people,[1] which results in a lack of knowledge, guidelines, training, and diagnostic …
people,[1] which results in a lack of knowledge, guidelines, training, and diagnostic …
[PDF][PDF] Prediction of Disease-Gene Associations by an Ensemble of Knowledge Graph Completion
R Karani, J Mehta, J Mistry… - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objective: This research aims to enhance genetic counselors' efficiency in analyzing genetic
data across diverse medical settings, spanning prenatal scans, tumor testing, carrier typing …
data across diverse medical settings, spanning prenatal scans, tumor testing, carrier typing …
Applications of AI in Drug Discovery: Its Challenges, Opportunities, and Strategies
KP Rahate, R Mondal - Approaches to Human-Centered AI in …, 2024 - igi-global.com
This study conducts a critical analysis of the state of artificial intelligence uses for drug
discovery, highlighting important obstacles, unrealized potential, and tactical routes for …
discovery, highlighting important obstacles, unrealized potential, and tactical routes for …
The Use of Artificial Intelligence in Disease Diagnosis: A Systematic Literature Review
IS Mangkunegara - Journal of Advanced Health Informatics …, 2023 - ejournal.ptti.web.id
This paper discusses the crucial role of Artificial Intelligence in improving disease diagnosis
and the use of medical data in the era of big data. Through the Systematic Literature Review …
and the use of medical data in the era of big data. Through the Systematic Literature Review …