Trishan Panch
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #31,651 of 35,345 by trust here, #17,412 by citations
- Health Informatics — 11 citations into it; #101 of 240 by trust here, #92 by citations
- Health Information Management — 6 citations into it; #277 of 344 by trust here, #112 by citations
Whom Trishan Panch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sandra Wachter
- Peter Szolovits
- Nicholas A. Diakopoulos
- M. Trajtenberg
- Brent Daniel Mittelstadt
- Alvin Rajkomar
- Rifat A. Atun
- Daron Acemoglu
Who trusts Trishan Panch overall
Papers from Trishan Panch's perspective
Ordered by how strongly the researchers Trishan Panch trusts endorse each paper. Same corpus, a different order for every researcher.
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
- Artificial Intelligence, Automation, and Work
- AI as the next GPT: a Political-Economy Perspective
- Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
- A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury
- Applications of continual learning machine learning in clinical practice
- Continual Lifelong Learning with Neural Networks: A Review (Neural Networks)
- Ensuring Fairness in Machine Learning to Advance Health Equity (Annals of Internal Medicine)
- Ethics Guidelines for Trustworthy AI
- Algorithmic Accountability
Their papers
- The myth of generalisability in clinical research and machine learning in health care (2020) — 366 citations
- Artificial intelligence and algorithmic bias: implications for health systems (2019) — 429 citations
- The “inconvenient truth” about AI in healthcare (2019) — 378 citations
- Artificial intelligence, machine learning and health systems (2018) — 460 citations