EPISODE · Jun 15, 2026 · 1 MIN
Healthcare AI Daily: GPT-5, Grok 4, DeepSeek R1 on Blood Count Reports
from Healthcare AI Daily
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian LinkedIn: http://www.linkedin.com/in/raphael-t-malikian-mbbs-bsc-hons-71075436a --- Healthcare AI Daily translates one healthcare AI paper into a short practical briefing for builders, clinicians, researchers, and governance teams. Today: how three frontier AI models performed when interpreting real blood count reports from patients with blood diseases, and where each one stumbled. Source article Title: Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study Authors: Xianfei Ye, Xinglun Qi, Lina Fan, Qian Yu, Suming Zhou, Chunyun Ren, Dagan Yang Journal: Journal of Medical Internet Research (JMIR) Published: 5 Jun 2026 DOI: https://doi.org/10.2196/87802 Article: https://www.jmir.org/2026/1/e87802 Keywords: healthcare AI, medical AI, large language models, GPT-5, Grok 4, DeepSeek R1, blood count, CBC, hematology, clinical validation, AI hallucinations, lab medicine, AI safety, clinical deployment. This video is educational commentary, not medical advice. Source screenshots and figures are used for attributed research discussion. Like, subscribe, and enable notifications for daily Healthcare AI episodes. Healthcare AI Weekly releases every Friday at 9 AM. Watch this episode on YouTube: https://youtu.be/kauhiLUZJrA YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian ([email protected]). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
What this episode covers
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian LinkedIn: http://www.linkedin.com/in/raphael-t-malikian-mbbs-bsc-hons-71075436a --- Healthcare AI Daily translates one healthcare AI paper into a short practical briefing for builders, clinicians, researchers, and governance teams. Today: how three frontier AI models performed when interpreting real blood count reports from patients with blood diseases, and where each one stumbled. Source article Title: Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study Authors: Xianfei Ye, Xinglun Qi, Lina Fan, Qian Yu, Suming Zhou, Chunyun Ren, Dagan Yang Journal: Journal of Medical Internet Research (JMIR) Published: 5 Jun 2026 DOI: https://doi.org/10.2196/87802 Article: https://www.jmir.org/2026/1/e87802 Keywords: healthcare AI, medical AI, large language models, GPT-5, Grok 4, DeepSeek R1, blood count, CBC, hematology, clinical validation, AI hallucinations, lab medicine, AI safety, clinical deployment. This video is educational commentary, not medical advice. Source screenshots and figures are used for attributed research discussion. Like, subscribe, and enable notifications for daily Healthcare AI episodes. Healthcare AI Weekly releases every Friday at 9 AM. Watch this episode on YouTube: https://youtu.be/kauhiLUZJrA YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian ([email protected]). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
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Healthcare AI Daily: GPT-5, Grok 4, DeepSeek R1 on Blood Count Reports
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