Texas Oncology

Using Big Data and Predictive Analytics to Determine Patient Risk in Oncology

Ravi B. Parikh, Andrew Gdowski, Debra A. Patt et al.

2019 · 36 Zit.

Use of ambient AI scribing: Impact on physician administrative burden and patient care.

Gury K. Doshi, Terry Lynn Jensen, Anna Graziano et al.

2024 · 13 Zit.

Machine Learning and Real-World Data: More than Just Buzzwords

Ziad Bakouny, Debra A. Patt

2021 · 6 Zit.

Cancer Informatics in 2019: Deep Learning Takes Center Stage

Jeremy L. Warner, Debra A. Patt, Section Editors for the IMIA Yearbook Section on Cancer Informatics

2020 · 5 Zit.

Cancer Informatics in 2017: A New Beginning and a Bright Future

Jeremy L. Warner, Debra A. Patt, Section Editors for the IMIA Yearbook Section on Cancer Informatics

2018 · 1 Zit.

AI to Support Modern Cancer Care—The Augmented Oncologist

Samyukta Mullangi, Kanan Shah, Debra A. Patt

2025 · 1 Zit.

A Reinforcement Learning Framework for Real-Time Personalized Treatment Planning in Clinical Environments

Leela Prasad Gorrepati, Ravi Teja Potla

2025 · 1 Zit.

Abstract PS3-04-14: Artificial intelligence (AI) as a decision support tool for practicing oncologists: breast cancer cases

Mohammad Jahanzeb, Kayla Haines, Thomas A. Buchholz et al.

2026 · 0 Zit.

PROPOSAL FOR INTEGRATION OF SYNTHETIC AI GENERATED CONTROL ARM FOR CERVICAL CANCER CLINICAL TRIALS USING REAL WORLD DATA

Noelle Cloven, Leslie L. Randall, Sarper Toker et al.

2025 · 0 Zit.

Artificial intelligence (AI) as a decision support tool for practicing oncologists.

Mohammad Jahanzeb, Kayla Haines, David Ross Camidge et al.

2025 · 0 Zit.

Cancer Informatics in 2018: The Mysteries of the Cancer Genome Continue to Unravel, Deep Learning Approaches the Clinic, and Passive Data Collection Demonstrates Utility

Jeremy L. Warner, Debra A. Patt, Section Editors for the IMIA Yearbook Section on Cancer Informatics

2019 · 0 Zit.