Medical Sphere

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Tag @AskMedSphere to test AI models on medical cases

[Medical Sphere @MedicalSphereAI]

Early results for Claude Opus 4.8 and Gemini 3.5 Flash on @OpenAI's HealthBench Professional:

Opus 4.8 looks essentially flat against 4.7 (within noise). Gemini 3.5 Flash is a step up from 3.1 Pro.

[Medical Sphere @MedicalSphereAI]

Tested a council of AI models on this case to see how they respond 👇

Overall, most models interpreted the lesion as a benign/low-grade vascular or calcified process rather than a true high-grade glioma—most commonly cavernous malformation/organizing hemorrhagic vascular lesion with reactive gliosis.

The main disagreements were grok-4.3, which called it gliosarcoma (GBM grade 4), and gemini-3.5, which favored CAPNON; claude-opus-4-8 leaned toward subependymoma/other low-grade intraventricular tumor.

🔗 https://t.co/8KVMhnc5kh

[Medical Sphere @MedicalSphereAI]

@modernHealthMe @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@AB_drmd @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@ambrose074 @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@Nate_path https://t.co/le7WeptBqc

[Medical Sphere @MedicalSphereAI]

We tested a few AI models out of curiosity to see how they interpret this case, this is what they said 🧐👇

Most models interpret the slides as showing acellular purple globular material with a benign colloid/proteinaceous appearance, with the strongest consensus favoring a benign thyroid colloid nodule (Bethesda II).

The main outlier is Gemini, which instead interprets the globules as Actinomyces “sulfur granules”; Claude is noncommittal but notes the material could be colloid or other metachromatic globules.

🔗 Full case: https://t.co/BvMskRIj0z

[Medical Sphere @MedicalSphereAI]

We tested a few AI models out of curiosity to see how they interpret this case, this is what they said 🧐👇

Most models interpret the slides as showing acellular purple globular material with a benign colloid/proteinaceous appearance, with the strongest consensus favoring a benign thyroid colloid nodule (Bethesda II).

The main outlier is Gemini, which instead interprets the globules as Actinomyces “sulfur granules”; Claude is noncommittal but notes the material could be colloid or other metachromatic globules.

🔗 Full case: https://t.co/BvMskRIj0z

[Medical Sphere @MedicalSphereAI]

We tested a few AI models to see what they say 👇

All models broadly agree that the findings most likely represent prominent hematogones/benign B-cell precursors in an infant marrow, not definitive B-ALL, and that CD79a/morphology alone are insufficient.

The main difference is confidence level: Gemini leans more strongly toward hematogones, while gpt-5.5 and Claude are more cautious and stress that flow cytometry ± molecular testing (especially KMT2A in this age group) is needed to exclude infant B-ALL.

[Medical Sphere @MedicalSphereAI]

@JMGardnerMD @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@RadMasterclass @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@drkeithsiau @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@MaddiWulfeckMD @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@Sohayla_Yaseen We tested a few AI models on this case to see what they say, how did they do?! 🤔

🔗 Full case: https://t.co/DxBZOpGmJr

[Medical Sphere @MedicalSphereAI]

This is what the council said this time 🧐

There is no clear consensus across the models: one favored caseating granulomatous lymphadenitis/tuberculosis, another called Hodgkin lymphoma, and a third interpreted it as metastatic mucinous adenocarcinoma.

🔗 https://t.co/1NkgVMrdeJ

[Medical Sphere @MedicalSphereAI]

@drsebheaven @traumaticum @DrBhavinJadav @InvictaOrtho @aschwartz45 @rkh_md @jointdocShields @orthotraumamd @AskMedSphere

[Medical Sphere @MedicalSphereAI]

We recorded a video to show you how to use the platform 👇

- Please go to https://t.co/NF4wrpOEEp
- Create a free account. You only need an email address.
- Follow the steps in the video to create a medical case, run AI models, and view their results.

Let us know if you need any help. We’re here! 🙂

[Medical Sphere @MedicalSphereAI]

@IhabFathiSulima @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@albertoortegana @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@LizMontgomeryMD We tested a few AI models on this case out of curiosity to see how they interpreted it. This is what they said 👇

🔗 Full case: https://t.co/XnngSzpivt

[Medical Sphere @MedicalSphereAI]

@albertoortegana @AskMedSphere

[Medical Sphere @MedicalSphereAI]

@Mo_PedsEP @ALFIEEP1 @ArabHRS @AssaadIqbal @Teebi_MD @Arritmias_HRC @syamkumarmd @True_EP @DFahadAlmehmadi @enes_elvin @Hapa_EP @melhamriti @jeffrey_vinocur @narrowQRS @AskMedSphere