Qalam Health offers an AI‑enabled handheld probe that provides real‑time tissue characterization of bone tumor margins during surgery. The device captures high‑resolution images and uses explainable AI to classify tissue as malignant or benign within seconds, helping orthopedic oncologists and musculoskeletal surgeons achieve more complete resections while preserving healthy bone.
Funding
Funding not disclosed
Founders
Product
Problem
During bone cancer surgery, surgeons rely on visual inspection and pre‑operative imaging, which often miss microscopic tumor cells at the resection margin. Undetected residual disease can lead to recurrence, additional surgeries, and poorer patient outcomes.
Solution
Qalam Health has created an AI‑enabled intraoperative probe that delivers real‑time tissue characterization of bone tumor margins. The device integrates advanced imaging modalities with explainable artificial‑intelligence algorithms to analyze the tissue at the point of resection. Within seconds, the probe provides surgeons with a clear, data‑driven assessment of whether the margin is cancer‑free, allowing immediate surgical decision‑making. By converting subjective visual judgment into objective, evidence‑based feedback, the technology aims to increase the completeness of tumor removal while preserving healthy tissue, ultimately improving postoperative pathology results and patient prognosis.
Target Audience
Primary customers are orthopedic oncologists, musculoskeletal surgeons, and hospital surgical departments performing bone cancer resections.
Features
- Hand‑held intraoperative probe that captures high‑resolution imaging of bone tissue at the surgical site
- Explainable AI models that classify tissue as malignant or benign and highlight confidence levels for the surgeon
- Real‑time feedback loop delivering margin assessment results within seconds of scanning
- Integration with existing surgical workflows without requiring additional equipment or extensive training
- Secure data handling with encrypted transmission of imaging data for offline review or regulatory compliance