Artificial intelligence and lymphedema: State of the art

• DOI: 10.18053/jctres.08.202203.010
• Publication Date: 2022-06-01T20:02:47Z
• Authors: Abdullah S. Eldaly; Francisco R. Ávila; Ricardo A. Torres...; Karla C. Maita; John P. Garcia; Luiza Palmieri Se...; Antonio J. Forte
• Keywords: Modalities

Lymphedema practice is facing many challenges. Some of these challenges include eradication tropical lymphedema, preclinical diagnosis cancer-related and delivery appropriate individualized care. The past two decades have witnessed an increasing implementation artificial intelligence (AI) in health-care services. nature the lymphedema suitable for AI applications.The aim this study was to explore current applications prevention, diagnosis, management investigate potential future applications.Four databases were searched: PubMed, Scopus, Web Science, EMBASE. We used Preferred Reporting Items Systematic Reviews Meta-Analysis as our basis organization. Our analysis showed that several domains AI, including machine learning (ML), fuzzy models, deep learning, robotics, successfully implemented practice. ML can guide campaigns by estimating disease prevalence mapping risk areas. Robotic-assisted surgery gynecological cancer associated with a lower limb lymphedema. Several feasible models described early detection proposed are more accurate, sensitive, specific than methods also monitor patients during rehabilitation exercises.AI offers variety solutions most challenging problems Further, into revolutionize aspects management.Lymphedema chronic debilitating affecting millions patients. Developing new modalities treatment critical improve outcomes. some complexities management. In systematic review, we summarize discuss latest advances