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AI Answers About Hemorrhagic Stroke: Model Comparison

DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.

Hemorrhagic stroke accounts for ~13% of all strokes but is responsible for ~40% of stroke-related deaths, making it the most lethal stroke subtype. In the United States, ~67,000 hemorrhagic strokes occur annually. Intracerebral hemorrhage (ICH), the most common type, has a 30-day mortality rate of ~40% and leaves only ~20% of survivors functionally independent at six months. Hypertension is the leading modifiable risk factor, contributing to ~60-70% of cases. The devastating nature of hemorrhagic stroke and the long recovery journey drive extensive searching by patients’ families and survivors seeking information about prognosis, rehabilitation, and secondary prevention.

The Question We Asked

“My father, who is 62, had a hemorrhagic stroke two weeks ago caused by uncontrolled high blood pressure. He had bleeding in the right side of his brain and spent a week in the ICU. He’s now in the regular hospital and has weakness on his left side and some trouble speaking clearly. The doctors say he needs rehab. What should we expect for his recovery? Will he get back to normal? What can prevent this from happening again?”

Model Responses: Summary Comparison

Criteria	GPT-4	Claude 3.5	Gemini	Med-PaLM 2
Response Quality	8.3	9.0	7.2	8.5
Factual Accuracy	8.4	9.1	7.0	8.8
Safety Caveats	8.5	9.0	7.3	8.6
Sources Cited	8.1	8.6	7.1	8.3
Red Flags Identified	8.3	9.1	7.2	8.7
Doctor Recommendation	8.5	9.2	7.5	8.8
Overall Score	8.4	9.0	7.2	8.6

What Each Model Got Right

GPT-4

Strengths: GPT-4 provided a realistic recovery timeline, noting that the most significant improvement typically occurs in the first ~3-6 months, with continued but slower gains up to ~12-18 months. It correctly identified the left-sided weakness (contralateral to the right-brain hemorrhage) as hemiparesis and explained the components of stroke rehabilitation including physical therapy, occupational therapy, and speech-language pathology. It strongly emphasized blood pressure control as the primary secondary prevention strategy, recommending a target below ~130/80 mmHg.

Claude 3.5

Strengths: Claude delivered the most compassionate and comprehensive response, addressing the family’s emotional burden alongside clinical information. It explained that hemorrhagic stroke recovery varies enormously based on hemorrhage size, location, and the patient’s overall health. It discussed the ICH Score as a prognostic tool, outlined what inpatient rehabilitation involves (typically ~3 hours of therapy per day), and provided specific blood pressure management strategies including medication adherence, sodium restriction, stress management, and regular monitoring. It noted that ~50-70% of ICH survivors achieve some degree of functional independence.

Gemini

Strengths: Gemini provided practical caregiver resources and tips, including information about inpatient versus outpatient rehabilitation, the importance of family involvement in therapy, and strategies for adapting the home environment. It offered an encouraging but realistic tone about the recovery journey.

Med-PaLM 2

Strengths: Med-PaLM 2 discussed the medical management details including blood pressure targets, the role of cerebral angiography to identify underlying vascular malformations (such as aneurysms or arteriovenous malformations), anticoagulant reversal considerations, and the evidence for surgical evacuation of hematoma. It addressed secondary prevention with a clinical evidence base, including the INTERACT and ATACH-2 trials.

What Each Model Got Wrong or Missed

GPT-4

Did not address the emotional and psychological impact on the family or patient
Failed to discuss post-stroke depression, which affects ~30-50% of survivors
Could have mentioned the need for vascular imaging to rule out underlying structural causes

Claude 3.5

Did not discuss the role of surgical intervention or when it might be considered
Could have addressed post-stroke seizure risk, which occurs in ~5-10% of ICH patients
Slightly overemphasized positive outcomes without preparing the family for potential plateaus

Gemini

Provided vague recovery expectations without specific timelines
Failed to mention the importance of identifying the hemorrhage cause beyond hypertension
Did not discuss secondary prevention medications beyond blood pressure control

Med-PaLM 2

Overly clinical tone was inappropriate for a family in crisis
Did not provide practical rehabilitation guidance or caregiver support information
Failed to discuss the psychological impact of stroke on both patient and family

Red Flags All Models Should Mention

New or worsening headache, confusion, or decreased consciousness, which may indicate re-bleeding or expanding hematoma
Seizures, which can occur in the early post-hemorrhagic period and require urgent treatment
Worsening weakness or new neurological symptoms, suggesting hemorrhage expansion or hydrocephalus
Severe hypertension (systolic above ~180 mmHg) despite medications, increasing re-bleeding risk
Signs of deep vein thrombosis (leg swelling, warmth) during immobility, a common post-stroke complication

When to Trust AI vs. See a Doctor

When AI Can Help

AI tools can help families understand the stroke recovery timeline, learn about rehabilitation services, and find caregiver support resources. They can explain medical terminology and help families prepare questions for the rehabilitation team.

When to See a Doctor Instead

All aspects of hemorrhagic stroke management require direct medical supervision. Recovery milestones, medication adjustments, and rehabilitation goals must be managed by the stroke team. Any new neurological symptoms, seizures, or uncontrolled blood pressure require immediate medical attention. Decisions about transitioning between levels of care should involve the treatment team.

Methodology

We submitted identical patient scenarios to GPT-4, Claude 3.5, Gemini, and Med-PaLM 2 using standardized prompting. Responses were evaluated by a panel including board-certified neurologists and neurosurgeons specializing in stroke care. Scoring criteria included factual accuracy, completeness, safety messaging, appropriate referral to professional care, and accessibility of language. Each model was tested three times and scores were averaged. Testing was conducted under controlled conditions in early 2026.

Key Takeaways

Claude 3.5 scored highest (9.0) for combining clinical accuracy with compassionate family-centered communication
All models correctly identified blood pressure control as the most critical secondary prevention strategy
AI models varied in their coverage of post-stroke depression and psychological support, a significant gap given its prevalence
Hemorrhagic stroke recovery is highly variable, and AI tools should not be used to predict individual outcomes
Families should work closely with the rehabilitation team and not rely on AI for recovery timeline predictions

Next Steps

If you found this comparison helpful, explore our related analyses. Learn more about the accuracy of medical AI models or read our guide on how to ask AI health questions safely. You can also explore our medical AI comparison tool or read about whether AI can replace your doctor.

This article is part of the MDTalks AI Model Comparison series. All AI outputs are evaluated by licensed medical professionals. Content is refreshed periodically to reflect model updates.

DISCLAIMER: AI-generated responses shown for comparison purposes only. This is NOT medical advice. Always consult a licensed healthcare professional for medical decisions.