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Medicine

D-Index
84
Citations
31083
World Ranking
14953
National Ranking
493

Overview

Nehmat Houssami is a researcher affiliated with the University of Sydney in Australia, specializing primarily in Medicine with a focused concentration on Oncology. Their work spans numerous subfields including Artificial Intelligence, Pulmonary and Respiratory Medicine, Cancer Research, and Radiology, Nuclear Medicine, and Imaging.

The core topics of their research encompass Global Cancer Incidence and Screening, AI in cancer detection, Digital Radiography and Breast Imaging, Breast Cancer Treatment Studies, Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, as well as Cancer Risks and Factors.

Among recent published works involving their research interests are:

  • Global patterns and trends in breast cancer incidence and mortality across 185 countries, 2025, Nature Medicine
  • Recommendations for triage, prioritization and treatment of breast cancer patients during the COVID-19 pandemic, 2020, The Breast
  • Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills, 2022, International Journal of Medical Informatics
  • A systematic review of the impact of the COVID-19 pandemic on breast cancer screening and diagnosis, 2023, The Breast
  • Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection, 2023, EBioMedicine

Their frequent collaborators include Brooke Nickel, M. Luke Marinovich, Kirsten McCaffery, Meagan Brennan, and Tong Li. This network reflects interdisciplinary engagement in oncology and AI-driven medical research.

Publications are commonly featured in venues such as The Breast, European Radiology, Patient Education and Counseling, The Medical Journal of Australia, and SSRN Electronic Journal. These reflect areas of clinical practice, radiologic imaging, and broader medical education and communication.

Best Publications

  • Society of surgical oncology-American Society for Radiation Oncology consensus guideline on margins for breast-conserving surgery with whole-breast irradiation in stages i and II invasive breast cancer

    Meena S. Moran;Stuart J. Schnitt;Armando E. Giuliano;Jay R. Harris

  • Accuracy and surgical impact of magnetic resonance imaging in breast cancer staging: systematic review and meta-analysis in detection of multifocal and multicentric cancer.

    Nehmat Houssami;Stefano Ciatto;Petra Macaskill;Sarah J. Lord

  • Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.

    Stefano Ciatto;Nehmat Houssami;Daniela Bernardi;Francesca Caumo

  • ESO-ESMO 2nd international consensus guidelines for advanced breast cancer (ABC2)

    F. Cardoso;A. Costa;L. Norton;E. Senkus

  • Society of Surgical Oncology–American Society for Radiation Oncology–American Society of Clinical Oncology Consensus Guideline on Margins for Breast-Conserving Surgery with Whole-Breast Irradiation in Ductal Carcinoma In Situ

    Monica Morrow;Kimberly J. Van Zee;Lawrence J. Solin;Nehmat Houssami

  • Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy☆

    Nehmat Houssami;Petra Macaskill;Gunter von Minckwitz;Michael L. Marinovich

  • The association of surgical margins and local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy: a meta-analysis.

    Nehmat Houssami;Petra Macaskill;M. Luke Marinovich;Monica Morrow

  • Meta-analysis of the impact of surgical margins on local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy

    Nehmat Houssami;Petra Macaskill;M. Luke Marinovich;J. Michael Dixon

  • Ductal Carcinoma in Situ at Core-Needle Biopsy: Meta-Analysis of Underestimation and Predictors of Invasive Breast Cancer

    Meagan E. Brennan;Robin M. Turner;Stefano Ciatto;M. Luke Marinovich

  • 1st International consensus guidelines for advanced breast cancer (ABC 1)

    F. Cardoso;A. Costa;L. Norton;D. Cameron

  • Meta-Analysis of Magnetic Resonance Imaging in Detecting Residual Breast Cancer After Neoadjuvant Therapy

    Michael L. Marinovich;Nehmat Houssami;Petra Macaskill;Francesco Sardanelli

  • Preoperative ultrasound-guided needle biopsy of axillary nodes in invasive breast cancer: meta-analysis of its accuracy and utility in staging the axilla.

    Nehmat Houssami;Stefano Ciatto;Robin M. Turner;Hiram S. Cody

  • Magnetic Resonance Imaging Screening of the Contralateral Breast in Women With Newly Diagnosed Breast Cancer: Systematic Review and Meta-Analysis of Incremental Cancer Detection and Impact on Surgical Management

    Meagan Elizabeth Brennan;Nehmat Houssami;Sarah Lord;Petra Macaskill

  • A systematic review of the effectiveness of magnetic resonance imaging (MRI) as an addition to mammography and ultrasound in screening young women at high risk of breast cancer.

    S.J. Lord;W. Lei;P. Craft;P. Craft;J.N. Cawson

  • Preoperative magnetic resonance imaging in breast cancer: meta-analysis of surgical outcomes.

    Nehmat Houssami;Robin Turner;Monica Morrow

  • Review of preoperative magnetic resonance imaging (MRI) in breast cancer: should MRI be performed on all women with newly diagnosed, early stage breast cancer?

    Nehmat Houssami;Daniel F. Hayes

  • Use of a decision aid including information on overdetection to support informed choice about breast cancer screening: a randomised controlled trial

    Jolyn Hersch;Alexandra Barratt;Jesse Jansen;Les Irwig

  • Correcting for Lead Time and Length Bias in Estimating the Effect of Screen Detection on Cancer Survival

    Stephen W. Duffy;Iris D. Nagtegaal;Matthew Wallis;Fay H. Cafferty

  • Breast cancer screening with tomosynthesis (3D mammography) with acquired or synthetic 2D mammography compared with 2D mammography alone (STORM-2): a population-based prospective study

    Daniela Bernardi;Petra Macaskill;Marco Pellegrini;Marvi Valentini

  • Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories.

    S. Ciatto;N. Houssami;A. Apruzzese;E. Bassetti

Frequent Co-Authors

Les Irwig
Les Irwig University of Sydney
Monica Morrow
Monica Morrow Memorial Sloan Kettering Cancer Center
Kirsten McCaffery
Kirsten McCaffery University of Sydney
Diana L. Miglioretti
Diana L. Miglioretti University of California, Davis
Stacy M Carter
Stacy M Carter University of Wollongong
Diana S. M. Buist
Diana S. M. Buist Kaiser Permanente
Stuart J. Schnitt
Stuart J. Schnitt Brigham and Women's Hospital
Anna Sapino
Anna Sapino University of Turin
Karla Kerlikowske
Karla Kerlikowske University of California, San Francisco
Thomas H. Helbich
Thomas H. Helbich Medical University of Vienna

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