![VJHemOnc Podcast](https://pbcdn1.podbean.com/imglogo/image-logo/8189927/VJH_Thumbnail_1400b48w2.jpg)
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The Video Journal of Hematology and Hematological Oncology (VJHemOnc) podcast covers the latest hematological oncology and hematology news from international experts – from leukemias, lymphomas, MDS and MPNs, to sickle cell, aplastic anemia and rare diseases. Made for healthcare professionals and researchers, we are a global, independent, open-access platform. Listen to the latest news, including cutting-edge trial updates, controversies and opinion. If you enjoy the podcast, please leave us a rating and review! For more news visit www.vjhemonc.com
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![The impact of AI and machine learning algorithms in MDS](https://pbcdn1.podbean.com/imglogo/image-logo/8189927/VJH_Thumbnail_1400b48w2_300x300.jpg)
Friday May 13, 2022
The impact of AI and machine learning algorithms in MDS
Friday May 13, 2022
Friday May 13, 2022
Artificial intelligence (AI) and machine learning algorithms are transforming treatment and prognosis in hematological malignancies, as well as other areas of medicine. AI is becoming increasingly important for managing large data sets and patient information and is being explored in a number of areas. Despite the growing interest and promise of AI and machine learning algorithms in a medical setting, there are many challenges associated with applying these in a clinical setting, and questions that still need to be answered.
In this exclusive podcast, Amer Zeidan, MBBS, MHS, of Yale University and Yale Cancer Center, New Haven, CT, Aziz Nazha, MD, of the Thomas Jefferson University, Philadelphia, PA, and Anne Sophie Kubasch, MD, of Leipzig University Hospital, Leipzig, Germany, hold a fascinating discussion on the impact of artificial intelligence and machine learning in myelodysplastic syndromes (MDS).
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