DICOM-native preprocessing and routing
Every study normalised and sent to the model built for its modality, body part and protocol.
Latency · token cost · consistency
Reporting intelligence that clinicians, patients and researchers can inspect, trust, adopt and improve.
High volumes. Constant turnaround pressure impacts reporting quality.
Procedures back-to-back. Time for individualized patient care reduces.
Fatigue, cognitive load, interruptions and delays compound.
Unverified AI fails on incomplete and inconsistent real world data.
For radiologists. PixelMD supports in drafting standardized, actionable reports from imaging, dictation and patient clinical context across a wide range of modalities and pathologies.

See it in action
app.pixelmd.ai/radiology · CT Brain · M. Kumar · 58M
LiveReading — CT Brain
00:01:00
Transcript
Manual checks
Narrow pathology
Isolated reads
Free-text dictation
Manual proof-read
Auto-assign
Wide pathology
Reads with context
Actionable drafts
Automated QC
Manual checks
Auto-assign
Narrow pathology
Wide pathology
Isolated reads
Reads with context
Free-text dictation
Actionable drafts
Manual proof-read
Automated QC
Reading across the whole study to support accurate and consistent findings.
Standardized drafting shortens the path from acquisition to a signed report.
Automated checks on protocol, completeness and findings before sign-off.
For surgeons, PixelMD turns surgical or endoscopic video and voice into structured procedure documentation and post-operative monitoring plan. For duty medical officers and nurses, PixelMD assists with individualized in-patient management and discharge documentation.

See it in action
app.pixelmd.ai/inpatient · Bed 12B · M. Kumar
LiveRecording — ward round
00:01:00
Transcript
Limited access
No second pair of eyes
Op-notes from memory
Ad-hoc follow-up
Lost context across shifts
Fully queryable
Intra-op metrics
Op-notes from video
Timely intervention
Personalized records
Limited access
Fully queryable
No second pair of eyes
Intra-op metrics
Op-notes from memory
Op-notes from video
Ad-hoc follow-up
Timely intervention
Lost context across shifts
Personalized records
Structured op-notes and discharge summaries are claims and audit ready.
Personalized record across shifts and followups reduces medical errors.
Identifying complication patterns in early stage reduces readmissions.
The same platform powers PixelMD Radiology Suite and PixelMD Surgery Suite — AI workflows, agentic quality control, deep clinical integration and AI output evaluation layer designed for radiology and surgical specialties.
Accelerators & FDE services
Nine imaging services any PACS, VNA or EHR platform can call directly — and the team that puts them into production, across reads and documentation alike.
AI Accelerators · for PACS, VNA and EHR platforms
Every study normalised and sent to the model built for its modality, body part and protocol.
Latency · token cost · consistency
Identity stripped from pixels, tags and frames, with recall measured per media type.
Compliance · governance
Masks, measurements and labels returned as DICOM your viewer already renders.
Annotation effort · viewer capability
The reading worklist re-ranked to each site's case mix, on your own scan-to-alert protocol.
Turnaround
Reads run on the smallest sufficient model; low-confidence sections escalate to a frontier one.
Compute cost · data residency
Only the priors and chart sections that matter enter context — never the whole record.
Token cost · latency
Any draft checked: sentences traced to source, laterality and dose errors stopped cold.
Report quality · governance
Each site's report format and language variant as versioned, testable configuration.
Onboarding speed · safe iteration
Existing archives re-read for incidental findings at a cost that makes screening viable.
GPU cost
FDE Services · for hospitals and groups
Results come back in the standards your PACS and record already handle.
Pixel-Proof
Capture clinically important edits.
Capture what's dangerous to miss.
Right direction, right side.
Nothing invented. Nothing imagined.
Uncertain at the right moments.
Reads the patient, not just imaging.
Every site, the same standard.
Full provenance for every output.
Capture clinically important edits.
Capture what's dangerous to miss.
Right direction, right side.
Nothing invented. Nothing imagined.
Uncertain at the right moments.
Reads the patient, not just imaging.
Every site, the same standard.
Full provenance for every output.
Runs inside your data centre. Data never leaves.
VPC deployment with regional data residency.
Imaging on-premise; reporting and audit in private cloud.
PixelMD began with a radiologist and a surgeon who lived the problem — thousands of reads and procedures under constant time pressure — and an AI engineering lead from pharma who knew how to build for regulated medicine. We build the tools we wished we had in the reading room and the OR.

12+ yrs Pharma R&D and Commercial Ops, AI/ML Development. Nanyang Technological University, Merck, Daiichi-Sankyo.

12+ yrs Image-guided procedures, Neuro, Vascular & Oncological Interventional Radiologist, Zulekha Hospital, Dubai.

5000+ GI Laparoscopic & Robotic surgeries. CEO, Shaarve Hospitals; Sr. Consultant, RELA & Sugam Hospitals, Chennai.
The best care should not depend on where you are. PixelMD exists to make this true.
By 2030 · every year
diagnoses enhanced.
surgical outcomes improved.
physician hours returned to patient care.
One standard of care. Every patient. Everywhere.
Collaborate with us at the frontier of medical AI. Whether you are a hospital, tele-radiology or diagnostic network, biopharma or imaging CRO, tell us what you are building towards.