Ana Ribeiro

ORCID: 0000-0003-0345-3569
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Cervical Cancer and HPV Research
  • AI in cancer detection
  • Global Cancer Incidence and Screening
  • Healthcare during COVID-19 Pandemic
  • Women's cancer prevention and management
  • Workplace Violence and Bullying
  • Herpesvirus Infections and Treatments
  • Healthcare Regulation
  • Burkholderia infections and melioidosis
  • Medical Malpractice and Liability Issues
  • Cytomegalovirus and herpesvirus research
  • Long-Term Effects of COVID-19
  • Medical Imaging and Analysis
  • Respiratory Support and Mechanisms
  • Fungal Infections and Studies
  • Antifungal resistance and susceptibility
  • Prostate Cancer Diagnosis and Treatment
  • COVID-19 and healthcare impacts
  • Occupational Health and Safety Research
  • COVID-19 Pandemic Impacts
  • COVID-19 and Mental Health
  • Prostate Cancer Treatment and Research
  • Toxoplasma gondii Research Studies

Fundação Oswaldo Cruz
2021-2025

Royal Marsden NHS Foundation Trust
2024

Centro Hospitalar de Lisboa Ocidental
2021-2022

Universidade de Brasília
2021

Universidade de Fortaleza
2021

Hospitais da Universidade de Coimbra
2020

A number of challenges hinder artificial intelligence (AI) models from effective clinical translation. Foremost among these is the lack generalizability, which defined as ability a model to perform well on datasets that have different characteristics training data. We recently investigated development an AI pipeline digital images cervix, utilizing multi-heterogeneous dataset 9,462 women (17,013 images) and multi-stage selection optimization approach, generate diagnostic classifier able...

10.1371/journal.pdig.0000364 article EN public-domain PLOS Digital Health 2024-10-02

The HPV-Automated Visual Evaluation (PAVE) Consortium is validating a cervical screening strategy enabling accurate in resource-limited settings. A rapid, low-cost HPV assay permits sensitive testing of self-collected vaginal specimens; HPV-negative women are reassured. Triage positives combines genotyping (four groups order cancer risk) and visual inspection assisted by automated evaluation (AVE) that classifies appearance as severe, indeterminate, or normal. Together, the combination...

10.1093/jnci/djaf054 article EN PubMed 2025-03-18

Abstract Objective: o analyze the temporal trend of human papillomavirus (HPV) vaccination access, coverage and dropout Federal District, Brazil, from 2013 to 2023. Methods: This is a time series study using data made available by Brazilian National Immunization Program District Health Department. Vaccination abandonment indicators were calculated. The segmented linear regression method was applied trends. Results: A total 705,823 doses administered, 484,386 (68.6%) in females 221,437...

10.1590/s2237-96222024v33e20240006.en article EN cc-by Epidemiologia e Serviços de Saúde 2025-01-01

ABSTRACT A number of challenges hinder artificial intelligence (AI) models from effective clinical translation. Foremost among these are: (1) reproducibility or repeatability, which is defined as the ability a model to make consistent predictions on repeat images same patient taken under identical conditions; (2) presence uncertainty equivocal nature certain pathologies, needs be acknowledged in order effectively, accurately and meaningfully separate true normal disease cases; (3) lack...

10.1101/2023.09.26.23295263 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2023-09-27

B. pseudomallei causes significant morbidity and mortality, but its geographic prevalence genetic diversity are not well characterized, especially in the Western Hemisphere. A better understanding of relationships among clinical environmental isolates will improve knowledge population structure this bacterium as ability to conduct epidemiological investigations cases melioidosis.

10.1128/msphere.01259-20 article EN cc-by mSphere 2021-02-02
Eugenia Mylona Dimitrios I. Zaridis Charalampos Kalantzopoulos Nikolaos S. Tachos Daniele Regge and 81 more Nick Papanikolaou Manolis Tsiknakis Kostas Marias Eugenia Mylona Dimitrios I. Zaridis Charalampos Kalantzopoulos Nikolaos S. Tachos Daniele Regge Nick Papanikolaou Manolis Tsiknakis Kostas Marias Dimitrios I. Fotiadis Stelios Sfakianakis Varvara Kalokyri Eleftherios Trivizakis Grigorios Kalliatakis Avtantil Dimitriadis José Guilherme de Almeida Ana Sofia Castro Verde Ana Carolina Rodrigues Nuno M. Rodrigues Miguel Chambel Henkjan Huisman Maarten de Rooij Anindo Saha Jasper Jonathan Twilt Jurgen J. Fütterer Luis Martí‐Bonmatí Leonor Cerdá-Alberich Gloria Ribas Silvia Navarro Manuel Marfil Emanuele Neri Giacomo Aringhieri Lorenzo Tumminello Vincenzo Mendola Nan Nan Deniz Akata Mustafa Özmen Ali Devrim Karaosmanoğlu Fırat Atak Muşturay Karçaaltıncaba Joan C. Vilanova Jurgita Ušinskienė Rūta Briedienė Audrius Untanas Kristina Slidevska Katsaros Vasilis Georgiou Georgios Dow‐Mu Koh Robby Emsley Sharon Vit Ana Ribeiro Simon Doran Tiaan Jacobs Gracián García‐Martí Valentina Giannini Simone Mazzetti Giovanni Cappello Giovanni Maimone Vincenzo Napolitano Sara Colantonio Maria Antonietta Pascali Eva Pachetti Giulio Del Corso Danila Germanese Andrea Berti Gianluca Carloni Jayashree Kalpathy–Cramer Christopher P. Bridge J. Correia Walter Hernández Zoi Giavri Christos Pollalis Dimitrios Agraniotis Ana Jiménez Pastor Jerónimo Mora-Pascual C Saillant Theresa Henne Rodolfo Márquez Dimitrios I. Fotiadis

Abstract Objectives Radiomics-based analyses encompass multiple steps, leading to ambiguity regarding the optimal approaches for enhancing model performance. This study compares effect of several feature selection methods, machine learning (ML) classifiers, and sources radiomic features, on models’ performance diagnosis clinically significant prostate cancer (csPCa) from bi-parametric MRI. Methods Two multi-centric datasets, with 465 204 patients each, were used extract 1246 features per...

10.1186/s13244-024-01783-9 article EN cc-by Insights into Imaging 2024-11-04

Abstract The World Health Organization global call to eliminate cervical cancer encourages countries consider introducing or improving screening programs. Brazil's Unified System (SUS) is among the world's largest public health systems offering free cytology testing, follow-up colposcopy, and treatment. Yet, care networks across country have unequal infrastructure, human resources, equipment, supplies resulting in uneven program performance large disparities incidence mortality. An effective...

10.1158/1940-6207.capr-21-0110 article EN cc-by-nc-sa Cancer Prevention Research 2021-09-21

Invasive pulmonary aspergillosis (IPA) has become a recognizable complication in coronavirus disease 2019 (COVID-19) patients admitted to intensive care units (ICUs). Alveolar damage the context of acute respiratory distress syndrome (ARDS) appears be culprit facilitating fungal invasion COVID-19 patients, leading COVID-19-associated (CAPA) phenomenon. From November 2020 15 February 2021, 248 were our ICUs, whom ten (4% incidence) classified as either probable (six) or possible (four) CAPA...

10.3390/jof7100881 article EN cc-by Journal of Fungi 2021-10-19

The World Health Organization Call to Eliminate Cervical Cancer resonates in cities like Manaus, Brazil, where the burden is among world’s highest. Manaus has offered free cytology-based screening since 1990 and HPV immunization 2013, but public system constrained by many challenges performance not well-defined. We obtained cervical cancer prevention activities within health records for 2019 evaluate coverage, region neighborhood, annual Pink October campaign. estimated that girls boys age...

10.1371/journal.pone.0258539 article EN public-domain PLoS ONE 2021-10-18

Introduction Healthcare professionals are exposed to a multitude of occupational risks that can lead work-related injuries, resulting in implications both at the hospital management level and community level. For development preventive safety culture, it is essential analyze causes their occurrence. This study descriptive analytical analysis injuries occurred unit, characterizing them relating risks. The target population consists healthcare workers from tertiary north Portugal. Aims...

10.31252/rpso.24.06.2023 article EN Revista Portuguesa de Saúde Ocupacional 2023-06-30

Background: In Portugal, there have been more than 30,000 COVID-19 cases. Anaesthesiologists played a major role in the pandemic context, due to its transversality several areas, namely Intensive Care, Emergency Pain Therapy and Perioperative Medicine operating room, outside room Obstetrics. The main goals of this study were characterize Anaesthesiology during measure organization hospital institutions Portugal. Methods: A cross-sectional, observational, descriptive analytical study,...

10.25751/rspa.20183 article EN Revista da Sociedade Portuguesa de Anestesiologia 2020-08-23

Introdução: Desde o primeiro caso do novo coronavírus ocorrido em Wuhan, China, 2019, tem-se observado inúmeros pacientes infectados apresentando maiores riscos de adquirir injúria miocárdica. Tendo vista a fisiopatologia COVID-19, que envolve mecanismos hipertensivos e possível acometimento órgãos alvo, como coração, complicações nesses casos podem estabelecer um prognóstico desfavorável. Objetivos: 1) Estabelecer relação entre COVID-19 miocárdica; 2) Identificar os principais fatores risco...

10.51161/rems/2960 article PT cc-by Anais do I Congresso Brasileiro de Saúde Pública On-line: Uma abordagem Multiprofissional 2021-12-21
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