This paper describes a collaborative surgical training prototype using haptics, which has been able to operate across the world. It allows two users to collaboratively manipulate a simulation of pliable human body organs, as well as guide each other's 'hands' over 22,000 km of internet connection. It uses a force impulse collection mechanism feeding haptics data to a single physics server program. The server runs a 'pseudo' physics model that is resilient to latency.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
A Proposed mHealth Intervention to Address Patient Barriers to Colposcopy Attendance: Qualitative Interview Study of Clinic Staff and Patient Perspectives.
JMIR Form Res
January 2025
Center for Cancer Health Equity, Rutgers Cancer Institute, New Brunswick, NJ, United States.
Background: Cervical cancer disparities persist among minoritized women due to infrequent screening and poor follow-up. Structural and psychosocial barriers to following up with colposcopy are problematic for minoritized women. Evidence-based interventions using patient navigation and tailored telephone counseling, including the Tailored Communication for Cervical Cancer Risk (TC3), have modestly improved colposcopy attendance.
View Article and Find Full Text PDFStandard: Human gastric organoids.
Cell Regen
January 2025
Guangzhou National Laboratory, Guangzhou, 510005, China.
Organoid technology provides a transformative approach to understand human physiology and pathology, offering valuable insights for scientific research and therapeutic development. Human gastric organoids, in particular, have gained significant interest for applications in disease modeling, drug discovery, and studies of tissue regeneration and homeostasis. However, the lack of standardized quality control has limited their extensive clinical applications.
View Article and Find Full Text PDFCharacterization of adrenal glands on computed tomography with a 3D V-Net-based model.
Insights Imaging
January 2025
Department of Radiology, Peking University First Hospital, Beijing, 100034, China.
Objectives: To evaluate the performance of a 3D V-Net-based segmentation model of adrenal lesions in characterizing adrenal glands as normal or abnormal.
Methods: A total of 1086 CT image series with focal adrenal lesions were retrospectively collected, annotated, and used for the training of the adrenal lesion segmentation model. The dice similarity coefficient (DSC) of the test set was used to evaluate the segmentation performance.
Development and validation of a preoperative nomogram for predicting gallbladder adenoma.
Surg Endosc
January 2025
Department of Hepatopancreatobiliary Surgery, The Second Affiliated Hospital of Kunming Medical University, 374 Dianmian Avenue, Wuhua District, Kunming, 650106, Yunnan, People's Republic of China.
Background: Gallbladder cholesterol polyp (GCP) and gallbladder adenoma (GA) are easily confused in clinical diagnosis. This study aims to establish a nomogram prediction model for preoperative prediction of the risk of GA patients.
Study Design: We retrospectively collected clinical data of GCP or GA patients who underwent laparoscopic cholecystectomy (LC) between January 2020 and April 2023.
Timing of Surgery and Postoperative Outcomes in Esophagectomy for Squamous Cell Carcinoma: A Prospective Study in North India.
J Gastrointest Cancer
January 2025
MM Medical College Sadopur, Haryana, India.
Purpose: Neoadjuvant chemotherapy followed by esophagectomy is the usual approach to manage esophageal squamous cell carcinoma (ESCC). The optimal interval to operate after completion of neoadjuvant chemoradiotherapy (NACRT) still remains controversial.
Methods: A prospective study was conducted to observe and compare postoperative complications and pathological outcomes in patients with squamous cell carcinoma of the esophagus who underwent NACRT followed by surgery within 8 weeks or after 8 weeks of NACRT completion.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!