Application of artificial intelligence in the diagnosis, treatment, and prognostic evaluation of mediastinal malignant tumors

J Pang, W Xiu, X Ma - Journal of clinical medicine, 2023 - mdpi.com
Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the
medical field, promoting medical advances. Malignant tumors are the critical focus of …

[HTML][HTML] Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

D Yim, J Khuntia, V Parameswaran… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

[HTML][HTML] AI-Enhanced Virtual Clinics and Telemedicine for Cancer Treatment

H Amiri, M Ghaneiyan, P Farjami, H Mehran… - Kindle, 2024 - preferpub.org
AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …

Data integration challenges for machine learning in precision medicine

M Martínez-García, E Hernández-Lemus - Frontiers in medicine, 2022 - frontiersin.org
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences

M Jacobs, A Remus, C Gaillard… - Journal of Animal …, 2022 - academic.oup.com
The field of animal science, and especially animal nutrition, relies heavily on modeling to
accomplish its day-to-day objectives. New data streams (“big data”) and the exponential …

Precision oncology beyond genomics: The future is here—it is just not evenly distributed

U Pfohl, A Pflaume, M Regenbrecht, S Finkler… - Cells, 2021 - mdpi.com
Cancer is a multifactorial disease with increasing incidence. There are more than 100
different cancer types, defined by location, cell of origin, and genomic alterations that …

[HTML][HTML] Long-term AI prediction of ammonium levels in rivers using transformer and ensemble models

AJ Ali, AA Ahmed - Cleaner Water, 2024 - Elsevier
This study provides a cutting-edge machine learning approach to forecast ammonium (NH
4+) levels in River Lee London. Ammonium concentrations were predicted over several time …

[HTML][HTML] Liquid biopsy for gastric cancer: Techniques, applications, and future directions

CD Del Arco, MJF Aceñero… - World Journal of …, 2024 - ncbi.nlm.nih.gov
After the study of circulating tumor cells in blood through liquid biopsy (LB), this technique
has evolved to encompass the analysis of multiple materials originating from the tumor, such …

Artificial Intelligence Applications in Healthcare

UA Usmani, A Happonen, J Watada… - International Congress on …, 2023 - Springer
The demand of healthcare services is rising, for eg, Europe and the US are experiencing
shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist …

The role of Hospital-Based Cancer Registries (HBCRs) as information systems in the delivery of evidence-based integrated cancer care: a scoping review

S Tripathee, SJ MacLennan, A Poobalan, MI Omar… - Health …, 2024 - Taylor & Francis
Cancer is a leading cause of mortality, with 10 million deaths in 2020. With the number of
people impacted by cancer projected to increase, a better-integrated cancer care is needed …