1. Artificial Intelligence–Assisted Prediction of Late-Onset Cardiomyopathy Among Childhood Cancer Survivors. (2021) Authors: Gu[Combining Diaeresis]ntu[Combining Diaeresis]rku[Combining Diaeresis]n, Fatma; Akbilgic, Oguz; Davis, Robert L.; Armstrong, Gregory T.; Howell, Rebecca M.; Jefferies, John L.; Ness, Kirsten K.; Karabayir, Ibrahim; Lucas, John T.; Srivastava, Deo Kumar; Hudson, Melissa M.; Robison, Leslie L.; So... Journal: JCO Clinical Cancer Informatics Issue: Volume 5(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure. Issue 4 (9th October 2021) Authors: Akbilgic, Oguz; Butler, Liam; Karabayir, Ibrahim; Chang, Patricia P; Kitzman, Dalane W; Alonso, Alvaro; Chen, Lin Y; Soliman, Elsayed Z Journal: European heart journal Issue: Volume 2:Issue 4(2021) Page Start: 626 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Fungi form interkingdom microbial communities in the primordial human gut that develop with gestational age. Issue 11 (31st August 2019) Authors: Willis, Kent A.; Purvis, John H.; Myers, Erin D.; Aziz, Michael M.; Karabayir, Ibrahim; Gomes, Charles K.; Peters, Brian M.; Akbilgic, Oguz; Talati, Ajay J.; Pierre, Joseph F. Journal: FASEB journal Issue: Volume 33:Issue 11(2019) Page Start: 12825 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Image and structured data analysis for prognostication of health outcomes in patients presenting to the ED during the COVID-19 pandemic. (February 2022) Authors: Butler, Liam; Karabayir, Ibrahim; Samie Tootooni, Mohammad; Afshar, Majid; Goldberg, Ari; Akbilgic, Oguz Journal: International journal of medical informatics Issue: Volume 158(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Using machine learning to predict rapid decline of kidney function in sickle cell anemia. Issue 2 (10th February 2021) Authors: Güntürkün, Fatma; Chen, Daiqing; Akbilgic, Oguz; Davis, Robert L.; Karabayir, Ibrahim; Strome, Maxwell; Dai, Yang; Saraf, Santosh L.; Ataga, Kenneth I. Journal: EJHaem Issue: Volume 2:Issue 2(2021) Page Start: 257 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗