Nikolas Pontikos

Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study

2019 · 312 Zit. · The Lancet Digital Health

Code-free deep learning for multi-modality medical image classification

2021 · 169 Zit. · Nature Machine Intelligence

Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review

2025 · 15 Zit. · Journal of Medical Internet Research

Towards mitigating health inequity via machine learning: a nationwide cohort study to develop and validate ethnicity-specific models for prediction of cardiovascular disease risk in COVID-19 patients

2023 · 1 Zit. · medRxiv

Exploring Multimodal Large Language Models for Radiology Report Error-checking

2023 · 1 Zit. · arXiv (Cornell University)

Advancing Question-Answering in Ophthalmology With Retrieval-Augmented Generation: Benchmarking Open-Source and Proprietary Large Language Models

2025 · 0 Zit. · Translational Vision Science & Technology