Results 111 to 120 of about 696,396 (396)

Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery [PDF]

open access: yesarXiv, 2021
Generating a surgical report in robot-assisted surgery, in the form of natural language expression of surgical scene understanding, can play a significant role in document entry tasks, surgical training, and post-operative analysis. Despite the state-of-the-art accuracy of the deep learning algorithm, the deployment performance often drops when applied
arxiv  

A review of artificial intelligence in brachytherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen   +4 more
wiley   +1 more source

Autonomous Tissue Scanning under Free-Form Motion for Intraoperative Tissue Characterisation

open access: yes, 2020
In Minimally Invasive Surgery (MIS), tissue scanning with imaging probes is required for subsurface visualisation to characterise the state of the tissue. However, scanning of large tissue surfaces in the presence of deformation is a challenging task for
Cartucho, Joao   +2 more
core   +1 more source

In-depth critical analysis of complications following robot-assisted radical cystectomy with intracorporeal urinary diversion [PDF]

open access: yes, 2017
Background: Robot-assisted radical cystectomy with intracorporeal urinary diversion (iRARC) is an attractive option to open cystectomy, but the benefit in terms of improved outcomes is not established.
Ahmad, Imran   +9 more
core   +2 more sources

Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash   +3 more
wiley   +1 more source

Comparison of Intraoperative and Postoperative Bleeding Risks Between Robot-assisted and Laparoscopic Hysterectomy

open access: yesClinical and Experimental Obstetrics & Gynecology
Background: This study aimed to compare bleeding risks between robot-assisted and laparoscopic hysterectomy and to provide a guidance for selection of surgical methods to minimize intraoperative bleeding.
Tae Yeong Kim   +4 more
doaj   +1 more source

Radical Cystectomy with Elective Indication to Cutaneous Ureterostomy: Single-Center Comparative Analysis Between Open and Robotic Surgery in Frail Patients [PDF]

open access: yesInternational Brazilian Journal of Urology
Objectives: Radical cystectomy (RC) is a surgical procedure associated with high rates of morbidity. The aim of the study is to provide a comparison between robotic (RARC) and open RC (ORC) in patients elected to cutaneous ureterostomy (CUS).
Maria Chiara Sighinolfi   +14 more
doaj   +1 more source

Is robot-assisted laparoscopic myomectomy limited in multiple myomas?: a feasibility for ten or more myomas [PDF]

open access: yesObstetrics & Gynecology Science, 2018
ObjectiveTo evaluate the feasibility of robot-assisted laparoscopic myomectomy in multiple myomas over 10.MethodsA retrospective study was conducted for 662 patients who underwent robot-assisted laparoscopic myomectomy and open myomectomy by a single ...
Hyunkyung Kim   +7 more
doaj   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising   +11 more
wiley   +1 more source

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