Improta, Giovanni

Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa

Romeo, V., Ricciardi, C., Cuocolo, R., Stanzione, A., Verde, F., Sarno, L., Improta, G., Mainenti, P. P., D'Armiento, M., Brunetti, A., et al. (2019) · Magnetic Resonance Imaging

Radiomics and Machine Learning in Medical ImagingMaternal and fetal healthcare

Cited by 113

Improving performances of the knee replacement surgery process by applying DMAIC principles

Improta, G., Balato, G., Romano, M., Ponsiglione, A. M., Raiola, E., Russo, M. A., Cuccaro, P., Santillo, L. C., & Cesarelli, M. (2017) · Journal of Evaluation in Clinical Practice

Healthcare Quality and ManagementHealthcare Operations and Scheduling Optimization

Cited by 105

The application of Lean Six Sigma methodology to reduce the risk of healthcare–associated infections in surgery departments

Montella, E., Di Cicco, M. V., Ferraro, A., Centobelli, P., Raiola, E., Triassi, M., & Improta, G. (2017) · Journal of Evaluation in Clinical Practice

Infection Control in HealthcareHealthcare Quality and Management

Cited by 101

Reducing the risk of healthcare-associated infections through Lean Six Sigma: The case of the medicine areas at the Federico II University Hospital in Naples (Italy)

Improta, G., Cesarelli, M., Montuori, P., Santillo, L. C., & Triassi, M. (2018) · Journal of Evaluation in Clinical Practice

Infection Control in HealthcareHealthcare Quality and Management

Cited by 78