Banca de QUALIFICAÇÃO: CATIANE RAQUEL SOUSA FERNANDES

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : CATIANE RAQUEL SOUSA FERNANDES
DATE: 12/01/2026
TIME: 15:00
LOCAL: Google Meet
TITLE:

Artificial intelligence for recognizing foot disease in people with diabetes.

KEY WORDS:

Keywords: Podiatric Nursing; Diabetes Mellitus; Diabetes-related foot disease; Artificial Intelligence; Digital Health Technologies.

PAGES: 17
BIG AREA: Ciências da Saúde
AREA: Enfermagem
SUMMARY:

ARTIFICIAL INTELLIGENCE FOR THE RECOGNITION OF DIABETES-RELATED FOOT DISEASE

Foot complications in people with Diabetes Mellitus represent a significant cause of morbidity, recurrent hospitalizations, and potentially preventable amputations, especially in contexts marked by social vulnerability and limited access to specialized care. The scarcity of accessible, standardized, and evidence-based clinical instruments for the early recognition of diabetes-related foot disease reinforces the need for technological solutions that support healthcare professionals in clinical decision-making.

This doctoral research project aims to develop and validate a digital health technology for the early recognition of diabetes-related foot disease. This is a methodological study conducted in two phases. The first phase involves the development of the technology, including a scoping review, conceptual modeling, screen organization, mobile application development, and initial training of the artificial intelligence system. The second phase corresponds to content and face validation by podiatry specialists, as well as usability evaluation with nurses working in Primary Health Care (PHC).

Content validation will be carried out by ten podiatry specialists, who will assess the relevance, clarity, and representativeness of the items and images included in the application, with analysis based on the Content Validity Index. Usability will be evaluated by fifty nurses working in Family Health Units in municipalities in the state of Maranhão, Brazil, using the System Usability Scale, which will allow the application to be classified as having excellent, good, acceptable, or poor usability.

The study will be submitted for review by the Research Ethics Committee of the Federal University of Rio Grande do Norte and is awaiting approval to begin data collection. It is expected that the developed technology will contribute to early risk recognition, the qualification of podiatric nursing practice, and the prevention of complications, consolidating an innovation in health aligned with the principles of Health Promotion and complex thinking applied to care.

COMMITTEE MEMBERS:
Externa à Instituição - ARIANE DA SILVA PIRES
Externa à Instituição - SANDRA MARINA GONÇALVES BEZERRA
Interno - 1247872 - CARLOS JORDAO DE ASSIS SILVA
Presidente - 1054749 - MARIA ISABEL DA CONCEICAO DIAS FERNANDES
Externa ao Programa - 347635 - REJANE MARIA PAIVA DE MENEZES - null