McKesson (United States)

Clinical Implications and Challenges of Artificial Intelligence and Deep Learning

William W. Stead

2018 · 253 Zit.

Evaluating Hierarchical Medical Workflows using Feature Importance

Urja Pawar, Christopher T Culbert, Ruairi O’Reilly

2021 · 1 Zit.

Person-Centric Healthcare: A Deep Survey on the Integration of Machine Intelligence Technology

Jigar Sarda, Milind Shah, Hemang Thakar et al.

2025 · 1 Zit.

Appendix D: Ethical Considerations and Today's Data Scientist

Ron S. Kenett, Thomas C. Redman

2019 · 0 Zit.

A natural language processing tool for automatic identification of new disease and disease progression: Parsing text in multi-institutional radiology reports to facilitate clinical trial eligibility screening.

Eric Clayton, Imon Banerjee, Patrick J. Ward et al.

2021 · 0 Zit.

Advancing cancer care through AI and interoperability to improve enhancing oncology model data submission: Results from a Cancer Moonshot initiative.

Vera Macon, Lisa Deister, Dilma Perez et al.

2025 · 0 Zit.

Correction to: HealthTech Horizons: AI-Infused Metaverse Solutions for Smart Healthcare Systems

Paolo Barsocchi, Joseph Bamidele Awotunde, Biswajit Brahma et al.

2026 · 0 Zit.

A Hybrid Machine Learning–Driven, Explainable Framework for Competition-Aware and Risk-Sensitive Athlete Nutrition

Sasikanth Yangalasetty, Sai Vamsi Chennupati

2026 · 0 Zit.

Analytics-Enhanced Specialty Drug Distribution: Optimizing Patient Outcomes Through Data-Driven Approaches

Vishal Kumar Sharma

2025 · 0 Zit.