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 …

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 …

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 …

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 …

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 …

Artificial intelligence (AI) has significantly transformed the medical field, especially in the
diagnosis, treatment, and management of oncological diseases. It has had a profound …

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 …

Objective: This research aims to enhance genetic counselors' efficiency in analyzing genetic
data across diverse medical settings, spanning prenatal scans, tumor testing, carrier typing …

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 …

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 …