Andrea Moglia

ORCID: 0000-0002-3365-580X
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About
Contact & Profiles
Research Areas
  • Surgical Simulation and Training
  • Anatomy and Medical Technology
  • Cardiac, Anesthesia and Surgical Outcomes
  • Colorectal Cancer Surgical Treatments
  • Artificial Intelligence in Healthcare and Education
  • Simulation-Based Education in Healthcare
  • Gastrointestinal Bleeding Diagnosis and Treatment
  • Gastrointestinal disorders and treatments
  • Gastric Cancer Management and Outcomes
  • Gastrointestinal Tumor Research and Treatment
  • Minimally Invasive Surgical Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • Aortic aneurysm repair treatments
  • Advanced X-ray and CT Imaging
  • COVID-19 diagnosis using AI
  • Augmented Reality Applications
  • Soft Robotics and Applications
  • Congenital gastrointestinal and neural anomalies
  • Dental Radiography and Imaging
  • Medical Imaging and Analysis
  • Diversity and Career in Medicine
  • Orthopaedic implants and arthroplasty
  • Esophageal and GI Pathology
  • Abdominal vascular conditions and treatments
  • Abdominal Surgery and Complications

Politecnico di Milano
2023-2025

Eni (Italy)
2024

University of Pisa
2009-2022

GTx (United States)
2021

Hartford Hospital
2020

National and Kapodistrian University of Athens
2020

University of Central Florida
2020

Florida College
2020

Penn Center for AIDS Research
2020

University of Pennsylvania Health System
2020

Objective: To demonstrate the noninferiority of fundamentals robotic surgery (FRS) skills curriculum over current training paradigms and identify an ideal platform. Summary Background Data: There is currently no validated, uniformly accepted for in skills. Methods: Single-blinded parallel-group randomized trial at 12 international American College Surgeons (ACS) Accredited Education Institutes (AEI). Thirty-three experts 123 inexperienced surgical trainees were enrolled between April 2015...

10.1097/sla.0000000000003220 article EN Annals of Surgery 2019-02-01

Abstract Background Artificial intelligence (AI) has the potential to enhance patient safety in surgery, and all its aspects, including education training, will derive considerable benefit from AI. In present study, deep-learning models were used predict rates of proficiency acquisition robot-assisted surgery (RAS), thereby providing surgical programs directors information on levels innate ability trainees facilitate implementation flexible personalized training. Methods 176 medical...

10.1007/s00464-021-08999-6 article EN cc-by Surgical Endoscopy 2022-01-12

Wireless capsule endoscopy is a medical procedure which has revolutionized as it enabled for the first time painless inspection of small intestine. The was unveiled in 2000 and based on vitaminsize pill captures images digestive tract while transported passively by peristalsis. device consists an image sensor, illumination module, radio-frequency transmitter battery. novel breakthrough biomedical industry future progresses key technologies are expected to drive development next generation...

10.2174/1874764710801010024 article EN Recent Patents on Biomedical Engineering 2008-01-01

Goal: Effective preoperative planning for shoulder joint replacement requires accurate glenohumeral (GH) digital surfaces and reliable clinical staging. Methods: xCELUNet was designed as a dual-task deep network humerus scapula bone reconstruction in CT scans, assessment of three GH conditions, namely osteophyte size (OS), space reduction (JS), humeroscapular alignment (HSA). Results: Trained on dataset 571 patients, the model optimized segmentation classification through transfer learning....

10.1109/ojemb.2025.3527877 article EN cc-by IEEE Open Journal of Engineering in Medicine and Biology 2025-01-01

10.1016/0933-3657(92)90049-u article EN Artificial Intelligence in Medicine 1992-03-01

This paper describes the development of an active clamping mechanism to be integrated into a swallowable pill for diagnosis gastrointestinal (GI) tract. The system allows us stop at desired sites GI tract long monitoring purposes. After discussing major technical constraints, design core component, i.e. gripper, based on FEA (finite element analysis), is illustrated as well its fabrication process. Symmetric and asymmetric gripper designs are described. actuation provided by shape memory...

10.1088/0960-1317/15/11/008 article EN Journal of Micromechanics and Microengineering 2005-09-20

Objective: To assess if exposure to videogames, musical instrument playing, or both influence the psychomotor skills level, assessed by a virtual reality simulator for robot-assisted surgery (RAS).Materials and methods: A cohort of 57 medical students were recruited: playing instruments (group 1), videogames 2), 3), no activity 4); all executed four exercises on RAS.Results: Subjects from group 3 achieved best performances overall score: 527.09 ± 130.54 vs. 493.73 108.88 472.72 85.31 403.13...

10.1080/13645706.2016.1267018 article EN Minimally Invasive Therapy & Allied Technologies 2016-12-16

The da Vinci Xi has been developed to overcome some of the limitations previous platform, thereby increasing acceptance its use in robotic multiorgan surgery.Between January 2015 and October 2015, 10 patients with synchronous tumors colorectum others abdominal organs underwent combined resections Xi. Trocar positions respected Universal Port Placement Guidelines provided by Intuitive Surgical for "left lower quadrant," trocars centered on umbilical area, or shifted 2 3 cm right left,...

10.1177/1553350617697183 article EN Surgical Innovation 2017-03-21
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