Obstetrics & Gynecology

Multimodal Deep Fusion of Ultrasound Images and Clinical Factors for Pre-operative Prediction of Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.

OBJECTIVE: Lateral cervical lymph node metastasis (LLNM) is missed in up to 30% of papillary thyroid carcinoma (PTC) patients pre-operatively, leading to incomplete surgery or unnecessary two-stage lateral neck dissection. Here we aimed to develop and externally validate a multimodal deep learning network (M-DLN) that fuses ultrasound images with clinical factors for the pre-operative prediction o...

Correlation between artificial intelligence-based IDAScore and embryo morphokinetic parameters: a retrospective cohort study.

PURPOSE: The rapid advancement of artificial intelligence (AI) has brought new opportunities for embryo evaluation. The integration of AI with time-lapse (TL) imaging technology has significantly enhanced the pregnancy rates in assisted reproductive technologies (ART). However, the fully automated AI-based embryo screening model, IDAScore lacks transparency and specific justifications in assessing...

Predicting placenta accreta spectrum antenatally: a deep learning-radiomics dual-model based on intraoperative clinical and histopathologic criteria.

PURPOSE: Definitive diagnosis of placenta accreta spectrum (PAS) disorders occurs at delivery by using combined intraoperative clinical and histopatho...

Follicle Identification in Primate Ovaries Via Machine Learning†.

Studies of ovarian health and aging rely on estimates of the ovarian reserve, i.e. the number of healthy ovarian follicles. We present a machine learn...

Machine Learning-Guided Near-Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED-Triggered Photothermal Functionality.

Transdermal drug delivery and sensing provide non-invasive routes for localized therapy and biomarker detection. Microneedles (MNs) enable pain-free a...

Guideline-anchored retrieval-augmented generation outperforms baseline and literature-only configurations in gynecologic oncology decision support: A pre-integration benchmark.

INTRODUCTION: Large language models (LLMs) are being studied as oncology decision-support tools but can produce inaccurate outputs. We compared LLM pe...

A study on the influencing factors of perceived artificial intelligence substitution risk.

Artificial intelligence technologies are rapidly penetrating and reshaping the labor market. As a result, perceived AI substitution risk among workers...

BASG-Net: a background-aware spatial gating network for cervical cell segmentation in pap smear images.

The precise segmentation of cervical cell images is regarded as a fundamental prerequisite for the implementation of computer-aided cervical cancer sc...

Multistage microrobots with pH-responsive release of platelet membrane-coated nanoparticles.

Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must overcome multiple hierarchical barriers before reac...

Personalized machine learning prediction of next-day migraine persistence using digital headache diary data.

OBJECTIVES/BACKGROUND: Migraine is a disabling neurological disorder with substantial interindividual variability. Predicting whether an ongoing migra...

Noninvasive pre-transfer identification of women with recurrent implantation failure using a plasma microRNA-based machine learning model†.

Recurrent implantation failure (RIF) refers to patients who have undergone at least three implantation failures with several high-quality embryos. Ide...

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiotherapy planning for cervical cancer. Deep learning (...

Determinants of modern family planning use among married adolescents in Bangladesh: evidence from a machine learning approach.

BACKGROUND: Modern family planning (FP) is essential for improving the reproductive health of adolescent women, especially in Bangladesh, where early ...

Deep learning reconstruction-applied PROPELLER diffusion-weighted imaging in uterine malignancies: a comparison study with MUSE.

PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reconstruction (DLR)-applied Periodically Rotated Over...

Endometriosis Unveiled: Innovations in Diagnosis and Management of Endometriosis.

Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. ...

Embracing Digital as a Paradigm Shift in Medical Affairs.

Digital transformation is increasingly shaping how the Medical Affairs (MA) function generates insights, engages stakeholders, and demonstrates value ...

Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promotion and use of human papillomavirus (HPV) vaccinati...

Frontline Health Workers' Perspectives of the World Health Organization Skin Neglected Tropical Diseases App in Kenya: Qualitative Study on AI-Embedded mHealth Implementation.

BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management challenges in resource-limited settings due to constrai...

Multi-omics fusion with machine learning enables robust prediction of treatment response in ovarian cancer for precision population health.

Inter-patient heterogeneity complicates predicting treatment response in ovarian cancer (OC). We developed OMICS-FUSE, an early-fusion multi-omics pre...

A Socioeconomic Vulnerability Index for Persons with Disabilities via Machine Learning Approach.

Employment is a key social determinant of health, yet people with disabilities (PWDs) face persistent disparities in vocational rehabilitation (VR) se...