Theoretical Medicine and Biosciences, Saarland University, Homburg, Germany.
Experimental Physics, Saarland University, Saarbrücken, Germany.
Br J Haematol. 2022 Sep;198(5):805-806. doi: 10.1111/bjh.18358. Epub 2022 Jul 13.
Including artificial intelligence in haematological education is compulsory but should not be limited to students. Experienced haematologist and decision-makers in the clinical environment have at least similar needs. This is because of the tremendous potential, opportunities and benefits the timely inclusion of artificial intelligence offers in diagnosis, prediction and personalised therapy. Commentary on: Chai et al. Integrating artificial intelligence into haematology training and practice: opportunities, threats and proposed solutions. Br J Hematol 2022;198:807-811.
将人工智能纳入血液学教育是强制性的,但不应仅限于学生。有经验的血液学家和临床环境中的决策者至少有类似的需求。这是因为及时纳入人工智能在诊断、预测和个性化治疗方面具有巨大的潜力、机会和益处。述评:Chai 等人。将人工智能整合到血液学培训和实践中:机会、威胁和提出的解决方案。Br J Hematol 2022;198:807-811.