Kelnner Portela Luz

preprint 2026

Real-World Deployment of an Ethical AI-Assisted Tele-Ultrasound Platform for Endometriosis Diagnosis in the Brazilian Public Health System: The EndoConnect Alpha Case Study and Its Evolution into the NAM-Endora Framework (Preprint)

·doi:10.2196/preprints.89414

BACKGROUND Endometriosis affects 10 % of reproductive-age women globally, with diagnostic delays of 7–10 years in Brazil’s SUS. Digital platforms offer promise, but few are ethically designed with AI for low-resource settings. OBJECTIVE …

other 2026

Real-World Implementation of EndoConnect in Brazilian Primary Care: Formative Study of Usability, Engagement, and Equity in Digital Endometriosis Care

JMIR formative research ·doi:10.2196/89464

BACKGROUND: Endometriosis is a chronic gynecological condition affecting approximately 10% of women of reproductive age worldwide and is associated with chronic pelvic pain, infertility, and reduced quality of life. In Brazil's Unified Heal…

review 2025

Empowering women through intelligent care: a narrative review of AI-driven digital innovations for endometriosis diagnosis, education, and equity

·doi:10.1007/s44326-025-00061-2

Abstract Background Endometriosis is a chronic, inflammatory, and multifactorial gynecological disorder affecting approximately 10% of women of reproductive age worldwide. It is associated with debilitating pelvic pain, infertility, and sig…

article 2025

Real-World Pilot of EndoConnect: A Digital Health Platform for Endometriosis Education, Symptom Management, and Ethical AI-Assisted Triage in Brazilian Primary Care – A Formative Study and Proposal of the NAM-Endora Framework for Bias Mitigation and Health Equity in LMICs (Preprint)

·doi:10.2196/preprints.89464

BACKGROUND Endometriosis affects ≈10% of reproductive-age women worldwide (≈190 million) and is marked by debilitating chronic pain and infertility. In Brazil’s public health system (SUS), diagnostic delays average 7–10 years, disproportio…