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This is a "connection" page, showing publications co-authored by Alexander Pearson and Frederick Howard.
Alexander Pearson
Connection Strength
7.578
Frederick Howard
  1. Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023. JCO Clin Cancer Inform. 2024 May; 8:e2400077.
    View in: PubMed
    Score: 0.965
  2. Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ Breast Cancer. 2023 Apr 14; 9(1):25.
    View in: PubMed
    Score: 0.897
  3. Multimodal deep learning: An improvement in prognostication or a reflection of batch effect? Cancer Cell. 2023 01 09; 41(1):5-6.
    View in: PubMed
    Score: 0.871
  4. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
    View in: PubMed
    Score: 0.796
  5. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.757
  6. Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning. JAMA Netw Open. 2020 06 01; 3(6):e206368.
    View in: PubMed
    Score: 0.736
  7. Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
    View in: PubMed
    Score: 0.247
  8. Evaluation of large language models as a diagnostic aid for complex medical cases. Front Med (Lausanne). 2024; 11:1380148.
    View in: PubMed
    Score: 0.244
  9. Development and validation of a clinical breast cancer tool for accurate prediction of recurrence. NPJ Breast Cancer. 2024 Jun 15; 10(1):46.
    View in: PubMed
    Score: 0.243
  10. Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 2024 Mar 27; 25(1):134.
    View in: PubMed
    Score: 0.240
  11. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 Apr 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.235
  12. Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29; 7(1):49.
    View in: PubMed
    Score: 0.226
  13. Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. NPJ Digit Med. 2023 Apr 26; 6(1):75.
    View in: PubMed
    Score: 0.225
  14. Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
    View in: PubMed
    Score: 0.215
  15. Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
    View in: PubMed
    Score: 0.213
  16. Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma. JAMA Netw Open. 2022 04 01; 5(4):e227240.
    View in: PubMed
    Score: 0.209
  17. The emerging role of immune checkpoint inhibitors for the treatment of breast cancer. Expert Opin Investig Drugs. 2022 Jun; 31(6):531-548.
    View in: PubMed
    Score: 0.202
  18. External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population. Radiol Artif Intell. 2023 Nov; 5(6):e220299.
    View in: PubMed
    Score: 0.057
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.