Latest AI and machine learning research in pregnancy for healthcare professionals.
Accurate identification of benign and malignant thyroid nodules is a core link in clinical diagnosis and treatment decision-making, which directly affects the selection of subsequent treatment plans for patients. Aiming at the problems such as the strong subjectivity of traditional ultrasound diagnosis and the insufficient generalization ability of a single artificial intelligence model in small-s...
BACKGROUND: Although thyroid nodules are detected in up to 60% of adults on ultrasound, the vast majority are benign, creating a substantial decision-making burden compounded by heterogeneous practice guidelines. Large language models (LLMs) show promise in processing unstructured medical text and are emerging as tools for report interpretation among both clinicians and patients. However, their re...
Cervical cancer pharmacotherapy is significantly limited by physiological and cellular barriers that restrict drug access to therapeutic targets, resu...
Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...
Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associated with distinct carotid ultrasound phenotypes, i...
BACKGROUND: The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (G...
Ultrafast ultrasound blood flow imaging is a state-of-the-art technique for depiction of complex blood flow dynamics in vivo through thousands of full...
BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...
BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects o...
3D printing is reshaping ophthalmic biomaterials, tissue models, implants, biosensors, and drug-delivery systems, but its clinical value depends on ma...
OBJECTIVE: To compare diagnostic performance and fine-needle aspiration (FNA) decision-making for thyroid nodules classified as "Intermediate Suspicio...
RATIONALE AND OBJECTIVES: Follicular neoplasms are difficult to classify by ultrasound, as they often present as thyroid adenomatoid nodules (TANU). F...
DNA methylation (DNAm) episignatures are stable disorder-specific epigenetic patterns that serve as valuable biomarkers for assessing variant pathogen...
Ultrasound elastography measures tissue stiffness and has demonstrated clinical utility across multiple medical specialties. In respiratory medicine, ...
Current diagnostic methods for Gestational Diabetes Mellitus (GDM) inadequately reflect early placental pathophysiology. Accelerated cellular senescen...
Innovations like teleophthalmology have made great strides in improving access to care for patients with retinal disease by enabling prompt screening ...
OBJECTIVE: To construct a hybrid artificial intelligence (AI) pipeline that combines a convolutional neural network (CNN) for image recognition with a...
OBJECTIVE: Automating administrative tasks, such as compiling a patient's medical history, could help general practitioners in their daily work. AI pe...
We thank Liu et al. for their constructive comments on our article reporting the internal and external validation of a reduced-feature machine learnin...
OBJECTIVE: To evaluate the feasibility of using large language model (LLM) for automated quality control (QC) of breast ultrasound (US) reports. METHO...