Educational content on VJHemOnc is intended for healthcare professionals only. By visiting this website and accessing this information you confirm that you are a healthcare professional.

Share this video  

SOHO 2022 | Considerations for building AI models in healthcare

Aziz Nazha • 28 Sep 2022
SOHO 2022
General

Aziz Nazha, MD, Thomas Jefferson University, Philadelphia, PA, outlines some of the important considerations when building and implementing artificial intelligence (AI) models in healthcare, including reproducibility, explainability, and bias. This interview took place at the Tenth Annual Meeting of the Society of Hematologic Oncology (SOHO) held in Houston, TX.

These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.

More from Aziz Nazha

3:39
Applications of AI in hemonc: improving diagnosis & predicting outcomes and response to therapy
Aziz Nazha • 28 Sep 2022
1:52
The need to train HCPs and researches to use AI & machine learning in healthcare
Aziz Nazha • 28 Sep 2022
1:13
The application of AI in healthcare and in clinical practice
Aziz Nazha • 28 Sep 2022
1:24
An insight into artificial intelligence and types of machine learning
Aziz Nazha • 28 Sep 2022

Related Videos

4:33
The EBMT Patient Advocacy Committee: Patient, Family and Donor Day at EBMT 2024
Natacha Bolaños • 16 Apr 2024
2:55
Distinguishing late-onset neutropenia from classical primary neutropenia
Carlo Dufour • 15 Apr 2024
2:39
The MAGIC algorithm probability to predict outcomes of GvHD in the GI tract
James Ferrara • 16 Apr 2024
2:25
The EBMT Trainee Committee: in-person trainee day at EBMT 2024 and upcoming initiatives
Claire Horgan • 15 Apr 2024
The content of VJHemOnc is intended for healthcare professionals