Machine learning and artificial intelligence in toxicological sciences
Abstract Machine learning and artificial intelligence approaches have revolutionized
multiple disciplines, including toxicology. This review summarizes representative recent …
multiple disciplines, including toxicology. This review summarizes representative recent …
Digital pathology in cardiac transplant diagnostics: from biopsies to algorithms
In the field of heart transplantation, the ability to accurately and promptly diagnose cardiac
allograft rejection is crucial. This comprehensive review explores the transformative role of …
allograft rejection is crucial. This comprehensive review explores the transformative role of …
Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students
X Lyu, L Dong, Z Fan, Y Sun, X Zhang, N Liu… - BMC Medical …, 2024 - Springer
Background To evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system
in the pulmonary nodule detection and diagnosis training of junior radiology residents and …
in the pulmonary nodule detection and diagnosis training of junior radiology residents and …
[HTML][HTML] The 2022 Banff Meeting Lung Report
Abstract The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology
Conference—held in Banff, Alberta—focused on non-rejection lung allograft pathology and …
Conference—held in Banff, Alberta—focused on non-rejection lung allograft pathology and …
[HTML][HTML] The lifelong impact of artificial intelligence and clinical prediction models on patients with tetralogy of Fallot
Medical advancements in the diagnosis, surgical techniques, perioperative care, and
continued care throughout childhood have transformed the outlook for individuals with …
continued care throughout childhood have transformed the outlook for individuals with …
Animal Disease Models and Patient-iPS-Cell-Derived In Vitro Disease Models for Cardiovascular Biology—How Close to Disease?
N Kawaguchi, T Nakanishi - Biology, 2023 - mdpi.com
Simple Summary Currently, rodents and pigs are the primary disease models used in
cardiovascular research. Generally, larger animals that are more closely related to humans …
cardiovascular research. Generally, larger animals that are more closely related to humans …
A review on machine learning approaches in cardiac tissue engineering
N Kalkunte, J Cisneros, E Castillo… - Frontiers in Biomaterials …, 2024 - frontiersin.org
Cardiac tissue engineering (CTE) holds promise in addressing the clinical challenges posed
by cardiovascular disease, the leading global cause of mortality. Human induced pluripotent …
by cardiovascular disease, the leading global cause of mortality. Human induced pluripotent …
A machine learning algorithm improves the diagnostic accuracy of the histologic component of antibody mediated rejection (AMR-H) in cardiac transplant …
M Glass, Z Ji, R Davis, EN Pavlisko, L DiBernardo… - Cardiovascular …, 2024 - Elsevier
Background Pathologic antibody mediated rejection (pAMR) remains a major driver of graft
failure in cardiac transplant patients. The endomyocardial biopsy remains the primary …
failure in cardiac transplant patients. The endomyocardial biopsy remains the primary …
Artificial intelligence in heart failure and transplant
Several artificial intelligence (AI) and machine learning (ML) algorithms have been
constructed for cardiovascular medicine applications. These models have the potential to …
constructed for cardiovascular medicine applications. These models have the potential to …
Artificial intelligence in cardiovascular medicine in China
Y Han - 2022 - academic.oup.com
Artificial intelligence (AI) and digital health technologies have become of increasing interest
in cardiovascular medicine due to their unique ability to improve the quality of patient care …
in cardiovascular medicine due to their unique ability to improve the quality of patient care …