A
Ara Darzi
Researcher at Imperial College London
Publications - 1741
Citations - 76980
Ara Darzi is an academic researcher from Imperial College London. The author has contributed to research in topics: Health care & Medicine. The author has an hindex of 123, co-authored 1613 publications receiving 64907 citations. Previous affiliations of Ara Darzi include St Mary's Hospital & Trinity College, Dublin.
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Journal ArticleDOI
A National Study on Lymph Node Retrieval in Resectional Surgery for Colorectal Cancer
Paris P. Tekkis,J. J. Smith,Alexander G. Heriot,Ara Darzi,M. R. Thompson,J. D. Stamatakis,Ireland +6 more
TL;DR: It is suggested that the minimum number of lymph nodes harvested in colorectal cancer surgery cannot be set at a fixed value and the lymph node harvest model provides a simple tool to the frontline clinician for comparing standards between multidisciplinary bowel cancer teams.
Journal ArticleDOI
Is Basic Emergency Ultrasound Training Feasible as Part of Standard Undergraduate Medical Education
Petrut Gogalniceanu,Yezen Sheena,Elika Kashef,Sanjay Purkayastha,Ara Darzi,Paraskevas Paraskeva +5 more
TL;DR: Undergraduate ultrasound tuition is an achievable educational goal which is well received by medical students and doctors need to consider the formal introduction of ultrasound teaching in their curricula to equip future doctors with relevant skill sets.
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The effect of stress-inducing conditions on the performance of a laparoscopic task.
TL;DR: All three stressors led to impaired dexterity and an increase in the incidence of errors inRight-handed surgeons with varying levels of laparoscopic experience.
Journal ArticleDOI
Rapid evaporative ionisation mass spectrometry of electrosurgical vapours for the identification of breast pathology: towards an intelligent knife for breast cancer surgery
Edward St John,Julia Balog,James S. McKenzie,Merja Rossi,April Covington,Laura J. Muirhead,Zsolt Bodai,Francesca Rosini,Abigail Speller,Sami Shousha,Rathi Ramakrishnan,Ara Darzi,Zoltan Takats,Daniel R. Leff,Daniel R. Leff +14 more
TL;DR: The REIMS method has been optimised for real-time iKnife analysis of heterogeneous breast tissues based on subtle changes in lipid metabolism, and the results suggest spectral analysis is both accurate and rapid.
Journal ArticleDOI
Quality control and assurance in functional near infrared spectroscopy (fNIRS) experimentation.
TL;DR: A taxonomy of factors influencing fNirS data have been established and a series of evidence-based recommendations are made with the aim of improving consistency and quality of fNIRS research.