Latest AI and machine learning research in pathology for healthcare professionals.
Atomic force microscopy (AFM) enables the nanoscale investigation of cellular mechanics, morphology, and molecular interactions under conditions that closely mimic physiological environments. This review synthesizes AFM analytical methodologies relevant to lung cancer, evaluating their applications in cell mechanics, early diagnosis, drug screening, and personalized therapy. Notable analytical adv...
OBJECTIVE: This cross-sectional study aimed to explore the application potential of artificial intelligence (AI) in screening and diagnosing cervical human papillomavirus (HPV) infection and lesions, and to assess patient satisfaction with the current diagnostic and therapeutic process as well as their unmet needs. METHODS: An online cross-sectional survey was conducted via the Questionnaire Star ...
The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for...
Osteocyte lacunae are ubiquitous microstructural cavities in bone that perturb local stress and strain fields, shaping the mechanical microenvironment...
Splenic diseases in dogs and cats present significant diagnostic challenges, particularly in differentiating benign from malignant lesions using conve...
Low-dose CT (LDCT) lung cancer screening significantly reduces mortality but has dramatically increased the detection of pulmonary nodules. Most of th...
Artificial intelligence (AI) tools for digital pathology have crossed the threshold from pilot project to clinical deployment, with regulatory approva...
PURPOSE: Developing a deep learning model to simultaneously evaluate lymph node status and distinguish between benign and malignant breast masses has ...
OBJECTIVES: To assess inter-rater agreement and diagnostic performance of six United States National Institute for Occupational Safety and Health-cert...
BACKGROUND: Incidental gallbladder cancer (IGBC) is often diagnosed only during or after cholecystectomy, and preoperative identification remains chal...
BACKGROUND: Colorectal cancer (CRC) is a prevalent malignant tumor of the digestive tract with high morbidity and mortality rates. Although doublecort...
BACKGROUND: Diabetic retinopathy (DR), a serious microvascular complication of diabetes, has a complex pathogenic mechanism that is intricately linked...
Understanding the tumor immune microenvironment, especially tumor-infiltrating lymphocytes (TILs), remains crucial in ovarian cancer. However, the dis...
The rapid growth of digital pathology and advances in self-supervised deep learning have enabled the development of foundational models for various pa...
INTRODUCTION: Ovarian cancer (OC) is a highly heterogeneous and lethal gynecological malignancy. Precision oncology has shifted the management paradig...
Breast cancer (BC) ranks among the most common malignant tumors affecting women globally. The essence of precision medicine (PM) lies in "delivering t...
Neurological diseases (NDs) continue to be a leading cause of disability and mortality worldwide, largely due to delayed diagnosis and limited access ...
OBJECTIVE: To investigate the clinical characteristics associated with recurrence in malignant ovarian germ cell tumors (MOGCT) patients who received ...
Background Suboptimal human - artificial intelligence (AI) interaction is a potential roadblock for implementation of AI in clinical practice. We aime...
Low-dose computed tomography (LDCT) reduces radiation dose but, introduces heterogeneous noise due to different photon attenuation based on anato...