Avishek Choudhury

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Avishek Choudhury trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Joon-Myoung Kwon
  2. Eric J. Topol
  3. John McCarthy
  4. J. James
  5. Joseph F. Hair
  6. Youngnam Lee
  7. Pearse A. Keane
  8. Takaya Saito
  9. Andre Esteva

Papers from Avishek Choudhury's perspective

Ordered by how strongly the researchers Avishek Choudhury trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High-performance medicine: the convergence of human and artificial intelligence
  2. Explaining and Harnessing Adversarial Examples
  3. Potential Liability for Physicians Using Artificial Intelligence.
  4. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
  5. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. (The Lancet Digital Health)
  6. Fairness through awareness
  7. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (JAMA Internal Medicine)
  8. Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (IEEE Access)
  9. Certifying and Removing Disparate Impact
  10. The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Their papers