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Literature DB >> 36062217

Artificial Intelligence in Interventional Radiology.

Joseph R Kallini¹, John M Moriarty¹.

Abstract

Entities: Chemical

Year: 2022 PMID： 36062217 PMCID： PMC9433147 DOI： 10.1055/s-0042-1753524

Source DB: PubMed Journal: Semin Intervent Radiol ISSN： 0739-9529 Impact factor: 1.780

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34 in total

1. Treatment planning and volumetric response assessment for Yttrium-90 radioembolization: semiautomated determination of liver volume and volume of tumor necrosis in patients with hepatic malignancy.

Authors: Wayne L Monsky; Armando S Garza; Isaac Kim; Shaun Loh; Tzu-Chun Lin; Chin-Shang Li; Jerron Fisher; Parmbir Sandhu; Vishal Sidhar; Abhijit J Chaudhari; Frank Lin; Larry-Stuart Deutsch; Ramsey D Badawi
Journal: Cardiovasc Intervent Radiol Date: 2010-08-04 Impact factor: 2.740

2. The role of robotic endovascular catheters in fenestrated stent grafting.

Authors: Celia V Riga; Nicholas J W Cheshire; Mohamad S Hamady; Colin D Bicknell
Journal: J Vasc Surg Date: 2010-04 Impact factor: 4.268

3. Voice recognition interfaces (VRI) optimize the utilization of theatre staff and time during laparoscopic cholecystectomy.

Authors: G E H El-Shallaly; B Mohammed; M S Muhtaseb; A H Hamouda; A H M Nassar
Journal: Minim Invasive Ther Allied Technol Date: 2005 Impact factor: 2.442

4. Robot-assisted antegrade in-situ fenestrated stent grafting.

Authors: Celia V Riga; Colin D Bicknell; Daniel Wallace; Mohamad Hamady; Nicholas Cheshire
Journal: Cardiovasc Intervent Radiol Date: 2008-10-30 Impact factor: 2.740

5. Machine Learning for the Interventional Radiologist.

Authors: Ryan D Meek; Matthew P Lungren; Judy W Gichoya
Journal: AJR Am J Roentgenol Date: 2019-06-05 Impact factor: 3.959

Review 6. Zerobot®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Authors: Takao Hiraki; Tetsushi Kamegawa; Takayuki Matsuno; Toshiyuki Komaki; Jun Sakurai; Susumu Kanazawa
Journal: Acta Med Okayama Date: 2018-12 Impact factor: 0.892

Artificial Intelligence in Interventional Radiology.

1. Treatment planning and volumetric response assessment for Yttrium-90 radioembolization: semiautomated determination of liver volume and volume of tumor necrosis in patients with hepatic malignancy.

2. The role of robotic endovascular catheters in fenestrated stent grafting.

3. Voice recognition interfaces (VRI) optimize the utilization of theatre staff and time during laparoscopic cholecystectomy.

4. Robot-assisted antegrade in-situ fenestrated stent grafting.

5. Machine Learning for the Interventional Radiologist.

Review 6. Zerobot®: A Remote-controlled Robot for Needle Insertion in CT-guided Interventional Radiology Developed at Okayama University.

Review 7. Touchless interaction with software in interventional radiology and surgery: a systematic literature review.

8. 2016 New Horizons Lecture: Beyond Imaging-Radiology of Tomorrow.

9. Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

10. Artificial Intelligence Distinguishes Surgical Training Levels in a Virtual Reality Spinal Task.