Ronan Cahill

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Professor of Surgery

Dublin City University

Ireland

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About

Ronan Cahill is a Professor of Surgery at University College Dublin, Ireland. His research interests focus on surgical education, innovative surgical techniques, and the application of artificial intelligence in surgery. Recent publications include studies on simulation training, intraoperative technologies, and patient perspectives on colorectal cancer surgery.

Recent Grants

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Protecting Operating Room Staff Against Aerosolised Viruses

Open Date: 2020-10-01

Close Date: 2022-04-01

Grant: Close

Future of Colorectal Cancer Diagnosis and Treatment: Combining Tissue Responsive Probes, AI and Machine Learning to Transform Medical Care

Open Date: 2019-10-01

Close Date: 2023-10-01

Grant: Close

IntAct: intra-operative fluorescence angiography to prevent anastomotic leak in rectal cancer surgery

Open Date: 2016-09-01

Close Date: 2022-12-01

Ronan Cahill

Research Interests

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Contact this professor

About

Recent Grants

Articles (30)

Impact of simulation training on communication skills and informed consent practices in medical students- a randomised controlled trial

Local excision of rectal neoplasia: a real-world survey of current practices and perspectives

Intraoperative fluorescence angiography with indocyanine green to prevent anastomotic leak in rectal cancer surgery (IntAct): an unblinded randomised controlled trial

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery

Development of an effective simulation model for evaluating smoke leakage during laparoscopic surgery

Patient public perspectives on digital colorectal cancer surgery (DALLAS)

Rise and fall of marginal gains revisited

AUGUR-AIM: Clinical validation of an artificial intelligence indocyanine green fluorescence angiography expert representer

New technologies for future of surgery in Ireland: An RCSI working Group report 2024

Quantification of indocyanine green fluorescence angiography in colorectal surgery: a systematic review of the literature

Surgeon assessment of significant rectal polyps using white light endoscopy alone and in comparison to fluorescence-augmented AI lesion classification

Advancing indocyanine green fluorescence flap perfusion assessment via near infrared signal quantification

Artificial intelligence for optimum tissue excision with indocyanine green fluorescence angiography for flap reconstructions: Proof of concept

Cognitive vision: AI automation of the surgical eye in fluorescence angiography - correspondence

Intraoperative near infrared functional imaging of rectal cancer using artificial intelligence methods - now and near future state of the art

Perceptions of surgeons on the efficacy of intraoperative indocyanine green fluorescence angiography for plastic and reconstructive procedures

Prophylactic negative pressure wound therapy (NPWT) in laparotomy wounds (PROPEL-2): protocol for a randomized clinical trial

Clinical validation of 3D virtual modelling for laparoscopic complete mesocolic excision with central vascular ligation for proximal colon cancer.

A feasibility study assessing quantitative indocyanine green angiographic predictors of reconstructive complications following nipple-sparing mastectomy

Clinical and computational development of a patient-calibrated ICGFA bowel transection recommender

Intra‐operative in‐line holographic display of patient‐specific anatomy via a three‐dimensional virtual model during laparoscopic right hemicolectomy for colon cancer: Video correspondence – A video vignette

Reusable cloth masks in operating theatre

Clinical application of machine learning and computer vision to indocyanine green quantification for dynamic intraoperative tissue characterisation: how to do it

Correction to: Implementation of an on‑site simulation programme during COVID‑19 and the assessment of its impact on medical students’ competence (Irish Journal of Medical Science (1971 -), (2023), 192, 3, (1009-1014), 10.1007/s11845-022-03057-z)

Implementation of an on-site simulation programme during COVID-19 and the assessment of its impact on medical students’ competence

Ethical perspectives on surgical video recording for patients, surgeons and society: systematic review

Fluorescence-guided surgery: comprehensive review

Evaluating clinical near-infrared surgical camera systems with a view to optimizing operator and computational signal analysis

Initial experience with the HandX device: training and initial laparoscopic case series – a video vignette

Real-time administration of indocyanine green in combination with computer vision and artificial intelligence for the identification and delineation of colorectal liver metastases

Collaborators (4)

Sara Gerke

Timo Minssen

Marcelo Corrales

Carlo Pulitano

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