Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
The functionalization of microrobots is essential for realizing their biomedical application in targeted cargo delivery, but the multifunctional integration of microrobots and controllable cargo delivery remains an enormous challenge at present. This work reports a kind of multi-functionalized micro-helical robot with superior loading capabilities for the controlled release of encapsulants. The ma...
Single-cell delivery platforms like microinjection and nanoprobe electroporation enable unparalleled control over cell manipulation tasks but are generally limited in throughput. Here, we present an automated single-cell electroporation system capable of automatically detecting cells with artificial intelligence (AI) software and delivering exogenous cargoes of different sizes with uniform dosage....
In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will h...
Machine learning has been suggested as a means of identifying individuals at greatest risk for hospital readmission, including psychiatric readmission...
OBJECTIVE: To evaluate the utility of a society-based robotic surgery training program for fellows in gynecologic oncology.
Polycystic ovary syndrome (PCOS) is the main cause of anovulatory infertility and affects women throughout their lives. The specific diagnostic method...
Small intestine-targeted drug delivery by oral administration has aroused the growing interest of researchers. In this work, the child-parent microrob...
The linings of the oral cavity are excellent needle-free vaccination sites, able to induce immune responses at distal sites and confer systemic protec...
BACKGROUND: Current commercially available transcatheter aortic valves are stored separately in a glutaraldehyde solution and mounted onto the deliver...
OBJECTIVE: To evaluate a rare case of a postmenopausal woman with hirsutism and virilization due to Leydig cell tumors (LCTs) of both ovaries.
Cervical cancer is the fourth most common cancer in the world. Whole-slide images (WSIs) are an important standard for the diagnosis of cervical cance...
BACKGROUND: Periprosthetic joint infection (PJI) is a devastating complication following total knee arthroplasty (TKA), and perioperative antibiotics ...
BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limit...
While forced labor in the world's fishing fleet has been widely documented, its extent remains unknown. No methods previously existed for remotely ide...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment deliver...
Chronic pelvic pain affects one in seven women worldwide, and there is an urgent need to reduce its associated significant costs and to improve women'...
The active cervical range of motion (aROM) is assessed by clinicians to inform their decision-making. Even with the ability of neck motion to discrimi...
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual inspection is time consuming, making it challengin...
In order to automate the counting of ovarian follicles required in multigeneration reproductive studies performed in the rat according to Organization...
PURPOSE: To compare deep learning with radiologists when diagnosing uterine cervical cancer on a single T2-weighted image.