Search Results - "Foote, Davis"
-
1
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Published in NPJ digital medicine (07-06-2019)“…For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage…”
Get full text
Journal Article -
2
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens
Published in JAMA oncology (01-09-2020)“…For prostate cancer, Gleason grading of the biopsy specimen plays a pivotal role in determining case management. However, Gleason grading is associated with…”
Get more information
Journal Article -
3
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies
Published in JAMA Network Open (02-11-2020)“…Expert-level artificial intelligence (AI) algorithms for prostate biopsy grading have recently been developed. However, the potential impact of integrating…”
Get full text
Journal Article Book Review -
4
Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Published in NPJ digital medicine (19-11-2019)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
Get full text
Journal Article -
5
AI Alignment with Changing and Influenceable Reward Functions
Published 27-05-2024“…Existing AI alignment approaches assume that preferences are static, which is unrealistic: our preferences change, and may even be influenced by our…”
Get full text
Journal Article -
6
Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
Published in NPJ digital medicine (01-01-2019)Get full text
Journal Article -
7
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
Published 27-02-2024“…Past analyses of reinforcement learning from human feedback (RLHF) assume that the human evaluators fully observe the environment. What happens when human…”
Get full text
Journal Article -
8
Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Published 15-11-2016“…Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving…”
Get full text
Journal Article -
9
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer
Published 15-11-2018“…Nature Partner Journal Digital Medicine (2019) For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially…”
Get full text
Journal Article