NevoMD Technology

NevoMD uses large-scale clinical data and advanced AI models to analyze the set of conditions and considerations reviewed. Generates a structured, evidence-based differential tailored to the patient s symptoms, exam narrative, and history. Highlights must-not-miss conditions and red flags, then proposes a focused workup (labs, imaging, referrals) with brief rationale. The intent is to accelerate clinical reasoning while preserving licensed medical judgment and final decision-making.

Representative preview only.
Detail intentionally blurred in portions of the workflow.

Provide a practical assessment and plan that can be tuned to the user s preferred review modality: holistic, pharmaceutical, or hybrid. When medications are used, the output emphasizes generics with dosing ranges, route, typical duration, and key contraindications/interactions. When holistic is selected, drug therapy is explicitly omitted and the plan pivots to lifestyle, nutrition, sleep, stress, and other non-pharmacologic measures.

Ingest and interpret structured analytes and panels (e.g., CBC/CMP, thyroid, lipids, hormones, micronutrients), identifying abnormal values and clinically meaningful patterns. Explicitly correlates abnormal (and missing) markers to candidate diagnoses, calling out contradictions and the most discriminative markers among the provided results. This supports faster, more consistent lab-to-diagnosis linkage and follow-up test selection.

Analyze clinical images such as X-rays, photographed injuries, dermatologic findings, wounds, bruising, swelling, and other visible abnormalities. The system reviews uploaded images and produces a structured interpretation describing notable findings, possible pathology, and clinically relevant observations. These image findings are automatically correlated with the patient s symptoms, history, and laboratory data to strengthen the differential diagnosis and highlight conditions that may warrant further imaging, testing, or specialist referral. This helps users more quickly extract meaningful information from visual data without manually reviewing every image in detail.

• Radiology images
  • X-rays (bone, chest, dental)
  • CT slices (if exported as images)
  • MRI slices
  • Ultrasound screenshots
• External injury images
  • Cuts / lacerations
  • Bruises
  • Burns
  • Rashes
  • Infected wounds
  • Surgical sites
  • Swelling or deformity (possible fracture)

Produce concise research context aligned to the user s clinical or educational questions, including evidence-oriented explanations that can be quickly reviewed. Surfaces relevant guideline and literature concepts (high-level, non-exhaustive) to support follow-up reading and differential refinement. The objective is to reduce time spent on broad searching and focus attention on the most relevant clinical angles for this presentation.

NevoMD integrates patient history, physical findings, laboratory data, and imaging into a single structured clinical workflow. Laboratory panels are analyzed both individually and across time to identify meaningful trends (rising, falling, or stable values), while imaging findings are systematically correlated to support, oppose, or contextualize each diagnosis. The system prioritizes objective clinical signals such as significant lab abnormalities alongside symptoms, helping ensure that higher-risk conditions are appropriately considered. This results in a consistent, clinically aligned diagnostic support that reflects how healthcare professionals synthesize complex data in real-world practice.