The goal of oncology is to provide the longest possible survival outcomes with the
therapeutics that are currently available without sacrificing patients' quality of life. In lung …

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the
greatest threat to world health, with early identification being crucial to patient outcomes and …

Anomaly detection in medical imaging, particularly within the realm of magnetic resonance
imaging (MRI), stands as a vital area of research with far‐reaching implications across …

Mechanistic learning refers to the synergistic combination of mechanistic mathematical
modeling and data-driven machine or deep learning. This emerging field finds increasing …

Blockchain (BC) is believed to be the cancer that occurs most frequently in women
worldwide, taking the lives of it's the victims. In early diagnosis aids the patients to survive …

Abstract Background In Diffuse Large B-Cell Lymphoma (DLBCL), several methodologies
are emerging to derive novel biomarkers to be incorporated in the risk assessment. We …

Simple Summary Graph Neural Networks are emerging as a powerful tool for structured data
analysis, and predictive modeling in massive multimodal datasets. In this review, we survey …

(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness
of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays …

Over the past two decades, advances in computational power and data availability
combined with increased accessibility to pre-trained models have led to an exponential rise …

Recently, machine learning has revolutionized medical diagnosis and prediction, rivaling
human experts in accuracy. However, the limited interpretability poses challenges in …