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This paper introduces the smart tissue anastomosis robot (STAR). Currently, the STAR is a proof-of-concept for a vision-guided robotic system featuring an actuated laparoscopic suturing tool capable of executing running sutures from image-based commands. The STAR tool is designed around a commercially available laparoscopic suturing tool that is attached to a custom-made motor stage and the STAR supervisory control architecture that enables a surgeon to select and track incisions and the placement of stitches. The STAR supervisory-control interface provides two modes: A manual mode that enables a surgeon to specify the placement of each stitch and an automatic mode that automatically computes equally-spaced stitches based on an incision contour. Our experiments on planar phantoms demonstrate that the STAR in either mode is more accurate, up to four times more consistent and five times faster than surgeons using state-of-the-art robotic surgical system, four times faster than surgeons using manual Endo360 ^\circ^\textregistered, and nine times faster than surgeons using manual laparoscopic tools. [ABSTRACT FROM PUBLISHER]

Reports of improved survival rates for cases of congenital diaphragmatic hernia (CDH) patients have prevailed in the literature over the past 10 years. These improvements have been attributed to advances in medical management in the postnatal period. However, further inquiries into the true survival of CDH patients through population-based studies have revealed that the reported increase in survival outcomes, which are often single institution-based reports, are confounded by case selection bias which fails to consider those CDH patients who do not reach the referral centers. This apparent discrepancy between population-based and institution-based statistics raises the question of 'hidden mortality' and the role it plays in both research and clinical medicine. In this review we will examine the reported survival outcomes of CDH from both institution- and population-based perspectives and explore the presence and implications of hidden mortality on research methodology and clinical practice. Copyright © 2010 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]