Abdul-Warith O Akinshipo
Biographic Data
| ID | 910052 |
|---|---|
| NAME | Abdul-Warith O Akinshipo |
| GIVEN NAMES | Abdul-Warith |
| FAMILY NAME | O Akinshipo |
| SIGNATURE | AKINSHIPO A O |
| AFFILIATIONS | University of Lagos |
| ORCID | 0000-0002-1182-107X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Race is a Contributing Factor to Clinico-Pathological Characteristics of Ameloblastoma at a Multi-Network Academic Hospital System
Ameloblastoma is an odontogenic tumor with an aggressive growth pattern and high recurrence rate. Impact of race and geographic location on clinico-pathological characteristics of ameloblastoma is unclear. The study objective was to assess race-dependent clinico-pathological characteristics and treatment approaches for ameloblastoma at a hospital network of an academic institution located in a racially diverse metropolitan city. Retrospective ana…
Time to Recurrence of Ameloblastoma and Associated Factors in a Multi-institutional Black Patient Cohort
Differential Profile of Primary and Recurrent Ameloblastomas Among Afro-descendants and Non-Afro-descendants—a Systematic Review
Artificial intelligence-based prediction for cancer-related outcomes in Africa
Globally, cancer ranks among the most common causes of death, especially among people under 70 years of age [1]. With this burden rapidly increasing globally, utilizing prediction tools to assist decision-making and encourage individualized treatment planning is gradually becoming paramount in cancer diagnosis and management. Notably, many tools constructed on the backend of artificial intelligence [...]
No prominent works on this page.
Artificial intelligence-based prediction for cancer-related outcomes in Africa
Globally, cancer ranks among the most common causes of death, especially among people under 70 years of age [1]. With this burden rapidly increasing globally, utilizing prediction tools to assist decision-making and encourage individualized treatment planning is gradually becoming paramount in cancer diagnosis and management. Notably, many tools constructed on the backend of artificial intelligence [...]
Time to Recurrence of Ameloblastoma and Associated Factors in a Multi-institutional Black Patient Cohort
Differential Profile of Primary and Recurrent Ameloblastomas Among Afro-descendants and Non-Afro-descendants—a Systematic Review
Race is a Contributing Factor to Clinico-Pathological Characteristics of Ameloblastoma at a Multi-Network Academic Hospital System
Ameloblastoma is an odontogenic tumor with an aggressive growth pattern and high recurrence rate. Impact of race and geographic location on clinico-pathological characteristics of ameloblastoma is unclear. The study objective was to assess race-dependent clinico-pathological characteristics and treatment approaches for ameloblastoma at a hospital network of an academic institution located in a racially diverse metropolitan city. Retrospective ana…
Adamantinoma (2 works) · Ameloblastoma (2 works) · Epidemiology (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Oral and Maxillofacial Pathology (2 works) · Retrospective cohort study (2 works) · AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work)