Amol A. Verma

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models

2025 · 21 Zit. · JAMA Network Open

From compute to care: Lessons learned from deploying an early warning system into clinical practice

2022 · 20 Zit. · Frontiers in Digital Health

Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms

2024 · 18 Zit. · Journal of Clinical Epidemiology

Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration

2023 · 13 Zit. · Critical Care Explorations

Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives

2023 · 11 Zit. · BMJ Quality & Safety

CyclOps: Cyclical development towards operationalizing ML models for health

2022 · 8 Zit.

Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI models

2023 · 8 Zit.

Labelling chest x-ray reports using an open-source NLP and ML tool for text data binary classification

2019 · 6 Zit.

Perspectives of family medicine residents on artificial intelligence for survival estimation in patients with serious illness

2025 · 0 Zit. · PLOS Digital Health

Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions

2025 · 0 Zit. · Frontiers in Digital Health