What is he best known for?
The fields of study he is best known for:
- Surgery
- Artificial intelligence
- Statistics
His scientific interests lie mostly in Finite element method, Biomedical engineering, Femur, Structural engineering and Cortical bone.
The various areas that Marco Viceconti examines in his Finite element method study include Mean squared error, Algorithm, Stress and Material properties.
His work deals with themes such as Modulus, Osseointegration, Implant and Biomechanics, which intersect with Biomedical engineering.
Marco Viceconti has researched Femur in several fields, including Bone density, Osteoporosis, Orthodontics and Cadaveric spasm.
His Cadaveric spasm research incorporates elements of Composite number, Bending, Composite material and Human femur.
His research in Structural engineering intersects with topics in Cadaver and Strain.
His most cited work include:
- Mechanical validation of whole bone composite femur models (515 citations)
- Mathematical relationships between bone density and mechanical properties: A literature review (378 citations)
- Technical noteMechanical validation of whole bone composite femur models (375 citations)
What are the main themes of his work throughout his whole career to date?
Marco Viceconti mainly focuses on Biomedical engineering, Finite element method, Femur, Biomechanics and Surgery.
His Biomedical engineering research includes elements of Cortical bone, Implant, Bone density, Tomography and Prosthesis.
His Finite element method research entails a greater understanding of Structural engineering.
Surgery and Orthodontics are commonly linked in his work.
His Orthodontics research incorporates themes from Fracture and Femoral neck.
His research on Femoral neck focuses in particular on Femoral Neck Fractures.
He most often published in these fields:
- Biomedical engineering (20.90%)
- Finite element method (17.42%)
- Femur (11.89%)
What were the highlights of his more recent work (between 2015-2021)?
- Finite element method (17.42%)
- Biomedical engineering (20.90%)
- Clinical trial (2.66%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Finite element method, Biomedical engineering, Clinical trial, Artificial intelligence and Orthodontics.
To a larger extent, Marco Viceconti studies Structural engineering with the aim of understanding Finite element method.
His Biomedical engineering research is multidisciplinary, relying on both Image resolution, Tomography and Bone mineral.
His Tomography study integrates concerns from other disciplines, such as Voxel, Tibia and X-ray microtomography.
The concepts of his Clinical trial study are interwoven with issues in Disease, Tuberculosis and Intensive care medicine.
His work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Identification, Mission critical and Stochastic modelling.
Between 2015 and 2021, his most popular works were:
- In silico clinical trials: how computer simulation will transform the biomedical industry (79 citations)
- Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants (54 citations)
- Micro-CT based finite element models of cancellous bone predict accurately displacement once the boundary condition is well replicated: A validation study (49 citations)
In his most recent research, the most cited papers focused on:
- Surgery
- Artificial intelligence
- Radiology
Marco Viceconti focuses on Finite element method, Biomedical engineering, In silico clinical trials, Clinical trial and In silico medicine.
His Finite element method research is multidisciplinary, incorporating perspectives in Orthopedic surgery, Orthodontics, Hip fracture and Femur.
His biological study spans a wide range of topics, including Standard deviation, Deformation, Bone mineral, Bone density and Tomography.
His Bone density research is multidisciplinary, incorporating elements of Anatomy, Intraclass correlation, Scanner, Reproducibility and Bone growth.
His work carried out in the field of Tomography brings together such families of science as Tibia, Volume and Mineralogy.
Marco Viceconti has included themes like Use case, Predictive medicine and Engineering management in his Clinical trial study.
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