Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND/AIM: Systemic inflammation is tightly linked to lung cancer prognosis, yet widely used blood-based indices show only modest discrimination. We aimed to develop a simple, albumin-enhanced inflammatory index to improve risk stratification. PATIENTS AND METHODS: Using the Investigation on Nutrition Status and Clinical Outcome of Common Cancer database, 1,576 patients with lung cancer with ...
Cancer-related cognitive impairment (CRCI) has become a notable long-term consequence for cancer survivors, especially among those receiving chemotherapy, radiotherapy, or targeted treatments. Despite the advances in the treatment of cancer, CRCI still disrupts the quality of life of patients, daily activities, and work performance, as well as emotional well-being. This review provides a summary o...
BACKGROUND: Cervical cancer continues to be the second most prevalent type of cancer in women globally, especially in the less developed areas. Among ...
BACKGROUND: Radiomics-based modeling has shown promise for characterizing tumor heterogeneity, but its integration with causal machine learning for tr...
BACKGROUND: Many circulating biomarkers are assessed at different time intervals during clinical studies. Despite of the success of standard joint mod...
Drug synergy prediction holds great promise in accelerating combination therapy development and improving treatment efficacy in cancer and other compl...
BACKGROUND: Sleep disorders and anxiety-depression symptoms can significantly impair the quality of life and treatment adherence among breast cancer p...
Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...
INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...
Health-damaging surface ozone tends to be lower in populated urban areas than in the surroundings, yet this urban-rural difference is narrowing. While...
Accurate localization and counting of tiny electronic components in high-resolution X-ray images is a critical yet challenging task in nuclear science...
Early and accurate screening of cervical cancer (CC) is critical for improving patient prognosis and reducing mortality, and there is an urgent clinic...
BACKGROUND: Early detection and management are essential in hepatocellular carcinoma (HCC) care. Artificial intelligence (AI) is enhancing the precisi...
PURPOSE: Preoperative assessment of lymph node dissection (LND) difficulty in gastric cancer remains challenging. Conventional clinical indicators are...
Artificial intelligence (AI)-based decision support systems are increasingly explored in surgical oncology. However, their concordance with multidisci...
Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise gu...
BACKGROUND: Artificial intelligence tools such as ChatGPT are increasingly used by the public to seek health-related information. However, the accurac...
Protease activity mapping plays a vital role in understanding tumor microenvironments and developing diagnostic tools. However, simultaneous quantific...
BACKGROUND: ∼60%-70% of patients with metastatic non-small cell lung cancer (NSCLC) have relatively low tumor mutational burden (TMB), with limited bi...
Prostate-specific membrane antigen (PSMA) PET/CT is routinely used to restage prostate cancer (PCa) in patients with biochemical recurrence (BCR), yet...