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Identificação

Identificação pessoal

Nome completo
Miguel Jose Da Quinta e Costa de Mascarenhas Saraiva

Nomes de citação

  • Saraiva, Miguel

Identificadores de autor

Ciência ID
FD17-C595-83E3
ORCID iD
0000-0002-0340-0830
Formação
Grau Classificação
2023/10
Concluído
 Medicina (Doutoramento)
Universidade do Porto Faculdade de Medicina, Portugal
"Artificial Intelligence and Gastroenterology: a brave new world" (TESE/DISSERTAÇÃO)
2023
Concluído
 AI in Healthcare (Postgraduate Certificate)
Massachusetts Institute of Technology, Estados Unidos
2021
Concluído
 AI Leadership (Postgraduate Certificate)
Massachusetts Institute of Technology, Estados Unidos
2014/06
Concluído
 Medicina (Mestrado integrado)
Universidade do Porto Faculdade de Medicina, Portugal
"Pelvic organ prolapse surgical management in Portugal and FDA safety communication impact on vaginal mesh" (TESE/DISSERTAÇÃO)
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2018 - Atual Assistente Convidado (Docente Universitário) Universidade do Porto Faculdade de Medicina, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2024/01 - Atual Consultant of Gastrenterology Centro Hospitalar Universitário de São João, Portugal
2022 - Atual Head of the Precision Medicine Unit of the Gastroenterology Centro Hospitalar Universitário de São João, Portugal
Produções

Publicações

Artigo em revista
  1. Marta Brandão; Francisco Mendes; Miguel Martins; Pedro Cardoso; Guilherme Macedo; Teresa Mascarenhas; Miguel Mascarenhas Saraiva. "Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology". Journal of Clinical Medicine (2024): https://doi.org/10.3390/jcm13041061.
    10.3390/jcm13041061
  2. Miguel Mascarenhas; Miguel Martins; João Afonso; Tiago Ribeiro; Pedro Cardoso; Franscisco Mendes; Patrícia Andrade; et al. "Deep Learning and Capsule Endoscopy: Automatic Multi-brand and Multi-device Panendoscopic Detection of Vascular Lesions". Endoscopy International Open (2024): https://doi.org/10.1055/a-2236-7849.
    10.1055/a-2236-7849
  3. Francisco Mendes; Miguel Mascarenhas; Tiago Ribeiro; João Afonso; Pedro Cardoso; Miguel Martins; Hélder Cardoso; et al. "Artificial Intelligence and Panendoscopy—Automatic Detection of Clinically Relevant Lesions in Multibrand Device-Assisted Enteroscopy". Cancers (2024): https://doi.org/10.3390/cancers16010208.
    10.3390/cancers16010208
  4. Joana Mota; Maria João Almeida; Francisco Mendes; Miguel Martins; Tiago Ribeiro; João Afonso; Helder Cardoso; et al. "From Data to Insights: How Is AI Revolutionizing Small-Bowel Endoscopy?". Diagnostics (2024): https://www.mdpi.com/2075-4418/14/3/291.
    10.3390/diagnostics14030291
  5. Miguel Mascarenhas; Miguel Martins; João Afonso; Tiago Ribeiro; Pedro Cardoso; Francisco Mendes; Patrícia Andrade; et al. "The Future of Minimally Invasive Capsule Panendoscopy: Robotic Precision, Wireless Imaging and AI-Driven Insights". Cancers (2023): https://doi.org/10.3390/cancers15245861.
    10.3390/cancers15245861
  6. Miguel Mascarenhas; Tiago Ribeiro; João Afonso; Francisco Mendes; Pedro Cardoso; Miguel Martins; João Ferreira; Guilherme Macedo. "Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care". Diagnostics (2023): https://doi.org/10.3390/diagnostics13243625.
    10.3390/diagnostics13243625
  7. Miguel José Mascarenhas Saraiva; João Afonso; Tiago Ribeiro; Pedro Cardoso; Francisco Mendes; Miguel Martins; Ana Patrícia Andrade; et al. "AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach". Diagnostics (2023): https://doi.org/10.3390/diagnostics13233494.
    10.3390/diagnostics13233494
  8. Tiago Ribeiro; Miguel Mascarenhas Saraiva; João Afonso; Lorenzo Brozzi; Guilherme Macedo. "Predicting Factors of Clinical Outcomes in Patients Hospitalized after Esophageal Foreign Body or Caustic Injuries: The Experience of a Tertiary Center". Diagnostics (2023): https://doi.org/10.3390/diagnostics13213304.
    10.3390/diagnostics13213304
  9. Miguel Mascarenhas Saraiva; Tiago Ribeiro; Mariano González-Haba; Belén Agudo Castillo; João P. S. Ferreira; Filipe Vilas Boas; João Afonso; et al. "Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study". Cancers (2023): https://doi.org/10.3390/cancers15194827.
    10.3390/cancers15194827
  10. Miguel Mascarenhas; Rui Morais; Regina Teixeira; Guilherme Macedo. "A case report of an unexpected colonic polyp: cavernous hemangioma". Annals of Coloproctology (2023): https://doi.org/10.3393/ac.2020.00535.0076.
    10.3393/ac.2020.00535.0076
  11. Tiago Ribeiro; Miguel José Mascarenhas Saraiva; João Afonso; Pedro Cardoso; Francisco Mendes; Miguel Martins; Ana Patrícia Andrade; et al. "Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy". Medicina (2023): https://doi.org/10.3390/medicina59040810.
    10.3390/medicina59040810
  12. Miguel Mascarenhas; João Afonso; Tiago Ribeiro; Patrícia Andrade; Hélder Cardoso; Guilherme Macedo. "The Promise of Artificial Intelligence in Digestive Healthcare and the Bioethics Challenges It Presents". Medicina (2023): https://doi.org/10.3390/medicina59040790.
    10.3390/medicina59040790
  13. Miguel Martins; Miguel Mascarenhas; João Afonso; Tiago Ribeiro; Pedro Cardoso; Francisco Mendes; Hélder Cardoso; et al. "Deep-Learning and Device-Assisted Enteroscopy: Automatic Panendoscopic Detection of Ulcers and Erosions". Medicina (2023): https://doi.org/10.3390/medicina59010172.
    10.3390/medicina59010172
  14. M. M. Saraiva; L. Spindler; N. Fathallah; H. Beaussier; C. Mamma; M. Quesnée; T. Ribeiro; et al. "Artificial intelligence and high-resolution anoscopy: automatic identification of anal squamous cell carcinoma precursors using a convolutional neural network". Techniques in Coloproctology (2022): https://doi.org/10.1007/s10151-022-02684-z.
    10.1007/s10151-022-02684-z
  15. Filipe Vilas-Boas; Tiago Ribeiro; João Afonso; Hélder Cardoso; Susana Lopes; Pedro Moutinho-Ribeiro; João Ferreira; Miguel Mascarenhas-Saraiva; Guilherme Macedo. "Deep Learning for Automatic Differentiation of Mucinous versus Non-Mucinous Pancreatic Cystic Lesions: A Pilot Study". Diagnostics (2022): https://doi.org/10.3390/diagnostics12092041.
    10.3390/diagnostics12092041
  16. Miguel Mascarenhas; João Afonso; Tiago Ribeiro; Hélder Cardoso; Patrícia Andrade; João P. S. Ferreira; Miguel Mascarenhas Saraiva; Guilherme Macedo. "Performance of a Deep Learning System for Automatic Diagnosis of Protruding Lesions in Colon Capsule Endoscopy". Diagnostics (2022): https://doi.org/10.3390/diagnostics12061445.
    10.3390/diagnostics12061445
  17. Emanuel Dias; Miguel Mascarenhas Saraiva; Francisco Moreira; Hélder Cardoso; Guilherme Macedo. "Small Bowel Adenocarcinoma in a Patient with Crohn’s Disease: The Role of Balloon-Assisted Enteroscopy". GE - Portuguese Journal of Gastroenterology (2022): 1-6. https://doi.org/10.1159/000520906.
    10.1159/000520906
  18. Miguel Mascarenhas Saraiva; Tiago Ribeiro; João Afonso; João P.S. Ferreira; Hélder Cardoso; Patrícia Andrade; Marco P.L. Parente; Renato N. Jorge; Guilherme Macedo. "Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network". GE - Portuguese Journal of Gastroenterology (2022): 331-338. https://doi.org/10.1159/000518901.
    10.1159/000518901
  19. Miguel Mascarenhas Saraiva; Tiago Ribeiro; Francisco Moreira; Joanne Lopes; Amadeu Corte Real; Guilherme Macedo. "A Gastric Lesion Revealing a Small-Cell Lung Cancer: A Rare Case". GE - Portuguese Journal of Gastroenterology 29 3 (2022): 220-222. https://doi.org/10.1159/000515654.
    10.1159/000515654
  20. Miguel Mascarenhas Saraiva; Tiago Ribeiro; João Afonso; Patrícia Andrade; Pedro Cardoso; João Ferreira; Hélder Cardoso; Guilherme Macedo. "Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia". Medicina (2021): https://doi.org/10.3390/medicina57121378.
    10.3390/medicina57121378
  21. M. M. Saraiva; J. P. S. Ferreira; H. Cardoso; J. Afonso; T. Ribeiro; P. Andrade; M. P. L. Parente; R. N. Jorge; G. Macedo. "Artificial intelligence and colon capsule endoscopy: development of an automated diagnostic system of protruding lesions in colon capsule endoscopy". Techniques in Coloproctology (2021): https://doi.org/10.1007/s10151-021-02517-5.
    10.1007/s10151-021-02517-5
  22. Miguel Mascarenhas Saraiva; Tiago Filipe Ribeiro; Guilherme Macedo. "Infectious Proctitis in Ulcerative Colitis: The Importance of an Accurate Differential Diagnosis". GE - Portuguese Journal of Gastroenterology (2021): 1-6. https://doi.org/10.1159/000510784.
    10.1159/000510784
  23. Miguel José Mascarenhas Saraiva; João Afonso; Tiago Ribeiro; João Ferreira; Helder Cardoso; Ana Patricia Andrade; Marco Parente; et al. "Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network". BMJ Open Gastroenterology (2021): https://doi.org/10.1136/bmjgast-2021-000753.
    10.1136/bmjgast-2021-000753
  24. Miguel Mascarenhas Saraiva; Tiago Ribeiro; Emanuel Dias; Joanne Lopes Lopes; Hélder Cardoso; Guilherme Macedo. "Vedolizumab-Induced Liver Injury". GE - Portuguese Journal of Gastroenterology 28 6 (2021): 410-415. https://doi.org/10.1159/000511644.
    10.1159/000511644
  25. João Afonso; Miguel José Mascarenhas Saraiva; João P.S. Ferreira; Hélder Cardoso; Tiago Ribeiro; Patrícia Andrade; Marco Parente; et al. "Development of a Convolutional Neural Network for Detection of Erosions and Ulcers With Distinct Bleeding Potential in Capsule Endoscopy". Techniques and Innovations in Gastrointestinal Endoscopy (2021): https://doi.org/10.1016/j.tige.2021.06.003.
    10.1016/j.tige.2021.06.003