Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Cervical cancer is a major cause of mortality among women, particularly in low-income countries with insufficient screening programs. Manual cytological examination is time-consuming, error-prone and subject to inter-observer variability. Automated and robust classification of the whole slide cytology images for cervical cancer is essential for detecting precancerous and malignant lesions. We prop...
Generative Pretrained Transformer (GPT) is one of the most ubiquitous large language models (LLMs), employing artificial intelligence (AI) to generate human-like language. Although the use of ChatGPT has been evaluated in different medical specialties, sufficient evidence in the field of obstetrics and gynecology is still lacking. The aim of our study was to analyze the knowledge of the two latest...
BACKGROUND: The rapid advancement of artificial intelligence, driven by Generative Pre-trained Transformers (GPT), has transformed natural language pr...
BACKGROUND: Detecting liver tumors via computed tomography (CT) scans is a critical but labor-intensive task. Extensive expert annotations are needed ...
Additive manufacturing (AM) is a powerful approach in healthcare to augment the functionalities of patient-specific medical products and surgical tool...
() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, adverse pregnancy outcomes, and colorectal cancer ...
Over 95% of cashew apples are left to waste and rot on the ground. However, both cashew nuts and the often overlooked cashew apples possess significan...
RATIONALE AND OBJECTIVE: This study compared the capabilities of two-dimensional (2D) and three-dimensional (3D) deep learning (DL), radiomics, and fu...
BACKGROUND AND PURPOSE: Neurosteroids (NS) modulate neuronal function and are promising therapeutic agents for neuropsychiatric disorders. NS analogue...
This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscale ultrasound (US) images alongside readily availab...
Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a significant global threat to women's health. Accu...
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translationa...
To facilitate implementation of plan-of-the-day (POTD) selection for treating locally advanced cervical cancer (LACC), we developed a POTD assessment ...
BACKGROUND: Integrating artificial intelligence (AI) prospected in the practical clinical management of polycystic ovary syndrome (PCOS) promised sign...
Recent assessments of ChatGPT in relation to a variety of pregnancy-related questions have shown mixed results. Rapidly evolving rules and regulations...
ProblemClinical vignette-based multiple-choice questions (MCQs) have been used to assess postgraduate medical trainees but require substantial time an...
Even though non-invasive prediction of endometriosis may seem technically feasible using sophisticated machine learning algorithms, a standard clinica...
Self-assembled peptide hydrogels have emerged as a research frontier in biomedical engineering due to their exceptional water-retention capacity and s...
In recent years, nanomedicine has emerged as a promising approach to deliver therapeutic agents directly to tumors. However, despite its potential, ca...
BACKGROUND: Endometrial cancer (EC) is a common gynecologic malignancy; accurate assessment of key prognostic factors is important for treatment plann...