Transformative potential of AI in Healthcare: definitions, applications, and navigating the ethical Landscape and Public perspectives

M Bekbolatova, J Mayer, CW Ong, M Toma - Healthcare, 2024 - mdpi.com
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

S Khalighi, K Reddy, A Midya, KB Pandav… - NPJ Precision …, 2024 - nature.com
This review delves into the most recent advancements in applying artificial intelligence (AI)
within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors …

Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system

S Tabatabaei, K Rezaee, M Zhu - Biomedical Signal Processing and …, 2023 - Elsevier
Most primary brain malignancies are malignant tumors characterized by masses of
abnormal tissue that grow uncontrollably. Recently, deep transfer learning (DTL) has been …

[HTML][HTML] Role of precision medicine and personalized medicine in the treatment of diseases

M Farrokhi, F Taheri, PJ Khouzani, E Rahmani… - Kindle, 2023 - preferpub.org
Precision medicine and personalized medicine are two approaches to healthcare that aim to
tailor medical treatments and interventions to individual patients. These approaches are …

Ethical dilemmas, mental health, artificial intelligence, and llm-based chatbots

J Cabrera, MS Loyola, I Magaña, R Rojas - International Work-Conference …, 2023 - Springer
The present study analyzes the bioethical dilemmas related to the use of chatbots in the field
of mental health. A rapid review of scientific literature and media news was conducted …

Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review

JP Redlich, F Feuerhake, J Weis, NS Schaadt… - npj Imaging, 2024 - nature.com
In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of
glioma histopathology images using artificial intelligence (AI) offers new opportunities to …

Artificial intelligence solutions for health 4.0: overcoming challenges and surveying applications

AH Al-Mistarehi, MM Mijwil, Y Filali, M Bounabi, G Ali… - 2023 - dir.muni.ac.ug
In recent years, the term Health 4.0 has appeared in health services and is related to the
concept of Industry 4.0. The term Health 4.0 focuses on replacing traditional care in hospitals …

Brain-GCN-Net: Graph-Convolutional Neural Network for brain tumor identification

E Gürsoy, Y Kaya - Computers in Biology and Medicine, 2024 - Elsevier
Background: The intersection of artificial intelligence and medical image analysis has
ushered in a new era of innovation and changed the landscape of brain tumor detection and …

Deciphering Glioblastoma: Fundamental and Novel Insights into the Biology and Therapeutic Strategies of Gliomas

R Onciul, FM Brehar, C Toader… - Current Issues in …, 2024 - mdpi.com
Gliomas constitute a diverse and complex array of tumors within the central nervous system
(CNS), characterized by a wide range of prognostic outcomes and responses to therapeutic …

The Power of AI-Assisted Diagnosis

J Wang - EAI Endorsed Transactions on e-Learning, 2023 - eudl.eu
The rapid advancements in artificial intelligence (AI) have unleashed a wave of
transformative technologies, and one area that has witnessed significant progress is AI …