The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
ascopubs.org

Mitigating Algorithmic Bias in Cancer Site Classification Models

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
Science Daily

New computer algorithm supercharges climate models and could lead to better predictions of future climate change

A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate ...
JD Supra

Enforcers’ Intensifying Focus on Algorithmic Pricing Tools

Scrutiny of algorithmic pricing models – particularly in sectors that rely heavily on data – is accelerating across federal and state enforcers, with California now banning the use of “common pricing ...
ascopubs.org

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials

In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...
Harvard Medical School

Algorithmic Collusion by Large Language Models

Sara Fish’s research focuses on topics at the intersection of economics and artificial intelligence. Join her at BKC as she shares emerging research on Large Language Models (LLMs), and their promises ...