Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Breast cancer requires non-invasive biomarkers for accurate detection and risk stratification. We co...
INTRODUCTION: Dyspnoea is one of the most distressing symptoms in patients with advanced lung cancer...
Biliary tract cancers (BTCs) are associated with poor outcomes despite recent incorporation of immun...
The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) de...
PURPOSE: Deep learning reconstruction may enable substantial radiation dose reduction in ultra-high-...
Pressure ulcers remain a persistent challenge in clinical care, particularly for patients with limit...
To further standardize the prevention and management of lung cancer in China, improve the level of d...
STUDY DESIGN: Narrative review. OBJECTIVE: To provide an overview of outcomes, cost-effectiveness, l...
OBJECTIVE: To evaluate the real-world diagnostic performance of a multimodal large language model (L...
Colorectal cancers (CRC) with microsatellite stability (MSS) and instability (MSI) differ in tumor m...
BACKGROUND: Ovarian cancer remains one of the most lethal gynecologic malignancies, largely due to p...
BACKGROUND: Vision language models (VLMs) show promise in medical imaging, yet their performance on ...
Breast cancer continues to be the most commonly diagnosed cancer among women globally and is a prima...
Peritoneal metastasis is the most lethal manifestation of gastric cancer (GC), as conventional diagn...
Genome-wide cell-free DNA (cfDNA) methylation profiling of 491 pre-diagnosis breast and prostate can...
Radiation therapy (RT) is critical in head and neck cancer (HNC) treatment but often causes radiatio...
INTRODUCTION: Peripheral pulmonary lesions (PPLs) are difficult to access bronchoscopically due to t...
Over four decades, translational hepatology has evolved from empirical observations into an evidence...
OBJECTIVE: To develop and empirically characterize a domain-specific, block-structured annotation sc...
INTRODUCTION: Intraductal papillary mucinous neoplasms (IPMNs) are established precursor lesions of ...
OBJECTIVE: Eating disorders are highly heterogeneous, challenging diagnostic classification and trea...