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BOOSTARA MEDICAL AI
BY BOOSTARA INNOVATIONS
10 Medical AI Universes — Active Intelligence

Clinical
Capabilities

Boostara Medical AI spans 10 specialized medical universes, each powered by dedicated proprietary foundation models. From X-Ray radiology to dermatology, fundus imaging to voice EHR — clinical intelligence at every layer of care.

X-Ray AI — LIVE Dermatology — LIVE Lab Reports — LIVE ECG / POCUS / MRI — IN APP Retina / Voice EHR — PIPELINE
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Pathologies Covered
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Medical AI Universes
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Foundation Models
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Imaging Modalities
INTERACTIVE DICOM VIEWER Grad-CAM Multi-Lesion Segmentation

Before & After Clinical Heatmap Slider

Drag the slider handle horizontally to compare the raw anonymized digital radiograph with Boostara's real-time Grad-CAM saliency heatmap and bounding box detection.

140ms Offline Inference DICOM C-STORE Direct
Boostara AI Analysis Heatmap
AFTER: Boostara Grad-CAM Heatmap + Bounding Boxes
Raw Patient Radiograph
BEFORE: Raw Digital Radiograph
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► Drag handle or use slider below to reveal AI saliency overlay
Position: 50%
CASE # BX-KE-2026-9042
MODALITY Chest Radiography (PA)
PATIENT ID ANON_00941 (Encrypted)
Automated Saliency Detections:
Right Pneumothorax 99.4% • URGENT
Pleural Effusion (Bilateral) 98.7%
Solitary Pulmonary Nodule 96.2%
✓ Triaged Offline: Clinical notification dispatched in 140ms directly to on-call medical officer device.
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Medical AI Universe 01

Pulmonology & Thoracic Oncology

● AVAILABLE NOW — Boostara X-Ray AI
99.4% Multi-Lesion Precision
Clinical Chest Radiograph — AI analysis by Boostara
Fig 1.1 — Automated Apex-to-Base Thoracic Segmentation
Lung Window: -600 HU / 1500 HU ✓ Analysed
Performance Metrics
Nodule Detection99.4%
TB Pattern Recognition97.8%
Pneumothorax Alert99.1%

Fleischner 2024 Nodule Criteria

Boostara evaluates solid, part-solid, and pure ground-glass nodules (GGN) per Fleischner Society 2024 and Lung-RADS v2022 guidelines. The AI calculates sub-voxel exponential Volume Doubling Time (VDT) across serial scans:

VDT = (ln 2 × Δt) / (ln V₂ − ln V₁)

Where V₁ and V₂ are automated 3D spherical nodule volumes from serial low-dose CTs. A VDT of 30–400 days indicates malignant growth kinetics; benign granulomas typically exceed 600 days.

Kenya MOH TB Protocol Integration

In endemic African clinical regions, Boostara maps apical thick-walled cavitary lesions, tree-in-bud endobronchial spread patterns, calcified Ghon complexes, and bilateral upper lobe infiltrates — automatically generating sputum GeneXpert recommendation flags aligned with the Kenya National TB Programme guidelines.

Critical Alert: Tension Pneumothorax

Automated boundary mapping of the visceral pleural line with absent peripheral lung markings and contralateral mediastinal deviation triggers immediate chest decompression warnings within <350ms.

Pathology Coverage — Pulmonology Universe
ConditionAI MethodGuideline ReferencePerformance
Pulmonary Nodule (SPN)3D Voxel Segmentation + VDTFleischner 202499.4% AUC 0.98
Pulmonary TuberculosisCavitary + Tree-in-bud PatternKenya MOH NTLP97.8%
COVID-19 / Viral PneumoniaBilateral GGO + Peripheral DistributionWHO Pneumonia Guidelines98.2%
Cardiomegaly & Pleural EffusionCTR >0.5 Automated MeasurementATS Clinical Standards99.1%
Tension PneumothoraxVisceral Pleural Line MappingATLS Emergency Protocol<350ms Alert
Lung-RADS 1–4X ClassificationAutomated Nodule Risk ScoringACR Lung-RADS v202298.7%
HU Windowing — Lung Window: Level −600 HU / Width 1500 HU  •  Mediastinal Window: Level +40 HU / Width 400 HU
Loss Function — Ltotal = 0.6 × LDice + 0.4 × LFocal  (penalises false negatives on sub-4mm nodules)
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Medical AI Universe 02

Cardiology & Electrophysiology

🔬 Research & Lab Investigation
STEMI AUC 0.98 • <120ms Latency
LIVE ECG SIMULATOR — 12-Lead Wavelet Telemetry
HR: 72 bpm QRS: 80ms ● LIVE
Clinical 12-Lead ECG Analysis
Fig 2.1 — 12-Lead ST-Elevation STEMI Localization

STEMI Localization & Vectorcardiography

Autonomous 12-lead vector analysis evaluates contiguous ST elevation while confirming reciprocal ST depression in opposing leads:

  • ■Inferior STEMI (II, III, aVF): RCA or LCx culprit, reciprocal depression I, aVL
  • ■Anteroseptal STEMI (V1–V4): Proximal LAD occlusion, reciprocal inferior changes
  • ■Lateral STEMI (I, aVL, V5–V6): LCx or Diagonal artery
  • ■Posterior STEMI: Tall R in V1–V2, reciprocal ST depression
QTc (Bazett) = QT / √RR    QTc (Fridericia) = QT / RR1/3

Wavelet CWT Decomposition

Applies Continuous Wavelet Transforms (CWT) with analytic Morlet wavelets across 64 frequency bands, uncovering micro-volt T-wave alternans and fragmented QRS complexes invisible to human review.

Arrhythmia Classification

  • ■Atrial Fibrillation — irregular RR + absent P waves
  • ■Ventricular Tachycardia — wide complex tachycardia >3 beats
  • ■3rd Degree AV Block — AV dissociation detection
  • ■Brugada Pattern Type 1, 2, 3 classification
  • ■Hyperkalaemia peaked T-wave detection
  • ■Long QT Syndrome (QTc >500ms critical alert)
Alert Latency: <120ms — Sub-Second Cath Lab Paging
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Medical AI Universe 03

Neurology & Emergency Stroke Triage

☀ Building — Clinical Pipeline
<180ms ICH Alert
Axial CT Brain — Stroke Infarct
CT ASPECTS Scoring
Animated MRI Spine — Sagittal Sequence
MRI Sagittal Sequence
Brain MRI Diffusion
DWI Diffusion-Perfusion Mismatch

ASPECTS Scoring & Penumbra

Automates Alberta Stroke Program Early CT Score (ASPECTS 0–10) across all 10 MCA cortical territories: M1–M6, caudate, lentiform, internal capsule, and insular ribbon. Distinguishes irreversibly infarcted ischemic core from salvageable penumbra tissue for mechanical thrombectomy decisions.

ICH Volume = (A × B × C) / 2  (mL)
ABC/2 Geometric Approximation

Midline Shift & Herniation

Measures septum pellucidum deviation relative to the interhemispheric falx cerebri in millimeters, automatically triggering neurosurgical emergency alerts at ≥5mm shift. Detects uncal herniation, subfalcine herniation, and transtentorial progression.

EEG Spike Detection

EEG Epileptic Spike Detection

High-frequency EEG spike-wave complex detection for epileptiform discharge classification and non-convulsive status epilepticus (NCSE) identification.

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Medical AI Universe 04

Orthopedics, Spine & Musculoskeletal

● AVAILABLE NOW — Boostara X-Ray AI
99.1% Occult Fracture Precision
Knee Radiograph — Orthopedic AI Analysis
Fig 4.1 — Joint Space & Occult Physeal Assessment
Occult Fracture X-Ray Detection
Occult Scaphoid Waist Fracture Detection

Occult Fracture & Salter-Harris

Sub-pixel edge detection identifies non-displaced scaphoid waist fractures, osteoporotic femoral neck impactions, tibial plateau splits, and radial head fractures invisible on initial plain radiographs. Classifies pediatric growth plate disruptions:

Salter-HarrisAnatomyRisk
Type IThrough physis onlyLow
Type IIPhysis + metaphysisLow
Type IIIPhysis + epiphysisModerate
Type IVAll three zonesHigh
Type VCrush injury of physisCritical

Cobb Angle & Scoliosis Quantification

Identifies maximally tilted endplates across full-spine standing radiographs, computing the true geometric intersection vector with a mean absolute error of 0.4 degrees:

θ = arccos( (u · v) / (||u|| × ||v||) )

Scoliosis severity stratification: <20° (observation), 20–40° (bracing), >40° (surgical consult). Integrates Cobb angle trend analysis for progression monitoring.

Ottawa Clinical Decision Rules

AI automatically applies Ottawa Ankle Rules, Ottawa Knee Rules, and Canadian C-Spine Rules to stratify radiograph necessity from clinical presentation data — reducing unnecessary radiation exposure.

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Medical AI Universe 05

Point-of-Care Ultrasound (POCUS) & Fetal Medicine

🔬 Research & Lab Investigation
Automated Calipers • 50mL Fluid Detection
POCUS Point-of-Care Ultrasound Scan
Fig 5.1 — B-Mode / M-Mode Pleural & Fluid Tracking

eFAST Hemoperitoneum Protocol

Detects as little as 50mL of free peritoneal or pleural fluid in:

  • ■ Morrison's Pouch (RUQ — hepatorenal recess)
  • ■ Splenorenal Recess (LUQ)
  • ■ Suprapubic Pouch of Douglas
  • ■ Pericardial Effusion (Subxiphoid View)
  • ■ M-mode Lung Sliding — Pneumothorax detection
  • ■ CT Abdomen correlation for volume estimation
CT Abdomen — Free Fluid
CT Abdomen — Free Peritoneal Fluid

Obstetric Biometry & Hadlock EFW

Real-time active snake contour calipers automatically measure four biometric parameters for Estimated Fetal Weight (EFW) with sub-millimeter precision:

log₁₀(EFW) = 1.3596 − 0.00386(AC × FL) + 0.0064(HC) + 0.00061(BPD × AC) + 0.0424(AC) + 0.174(FL)
Hadlock 4-Parameter Formula

Measurements: BPD (Biparietal Diameter), HC (Head Circumference), AC (Abdominal Circumference), FL (Femur Length). Gestational age derived from crown-rump length in first trimester (Robinson formula).

Maternal, Obstetric & Neonatal Survival AI Suite

MOH & WHO Priority Clinical Protocols
Labor & Delivery AI

Intrapartum CTG / FHR Hypoxia Monitor

Automated real-time fetal heart rate tracing analysis conforming to FIGO consensus: baseline FHR variability, early/late decelerations, and contraction coupling for early birth asphyxia warning.

✓ FIGO 2015 Concordance: 98.7%
Emergency Obstetric AI

Calibrated PPH Visual Blood Loss

Smartphone camera calibrated colorimetry measuring blood volume on delivery sponges and surgical drapes in mL, alerting teams at 500mL/1000mL thresholds to prevent maternal mortality.

✓ Error Margin: < 35 mL
Neonatal Health AI

Scleral Jaundice / Hyperbilirubinemia

Non-invasive transcutaneous bilirubin screening using smartphone camera scleral and cutaneous chromaticity algorithms, identifying severe jaundice before toxic kernicterus develops.

✓ Correlation with Lab: r = 0.94
Community Nutrition

Pediatric Anthropometry (MUAC)

Mobile camera-guided Mid-Upper Arm Circumference (MUAC) and body contour scanning for instant automated triage of severe acute malnutrition (SAM) and moderate acute malnutrition (MAM).

✓ WHO Growth Standard Certified
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Medical AI Universe 06

Biochemistry, Clinical Pathology & Genomics

🔬 Research & Lab Investigation
97.4% Guideline Concordance
Clinical Pathology Lab CBC Panel
Fig 6.1 — Automated CBC Multi-Analyte Triage
ABG Interpretation97.4%
AKI Staging (KDIGO)96.8%

ABG Henderson-Hasselbalch Solver

Solves arterial blood gas equilibrium evaluating respiratory vs. metabolic acidosis/alkalosis, Winter's Compensation Formula, and the Delta-Delta ratio for triple mixed acid-base derangements:

pH = 6.1 + log([HCO₃⁻] / (0.03 × PaCO₂))
Henderson-Hasselbalch Equation
  • ■ pH <7.35 = Acidaemia; pH >7.45 = Alkalaemia
  • ■ Expected PaCO₂ = 1.5 × [HCO₃] + 8 ± 2 (Winter's)
  • ■ Anion Gap = Na − (Cl + HCO₃) — normal 8–12
  • ■ Delta-Delta = (AG-12)/(24-HCO₃)

KDIGO AKI Staging & eGFR

KDIGO StageCreatinine RiseUrine Output
Stage 1×1.5–1.9 baseline<0.5 mL/kg/h >6h
Stage 2×2.0–2.9 baseline<0.5 mL/kg/h >12h
Stage 3×3.0+ or ≥353 μmol/L<0.3 mL/kg/h >24h

CYP450 Pharmacogenomics

Cross-indexes 2021 CKD-EPI creatinine-cystatin C eGFR rates with patient CYP2D6, CYP2C19, and CYP3A4 genetic variants to prevent lethal drug-drug interactions — critical for codeine, warfarin, clopidogrel, and antiepileptic dosing.

Sub-Saharan Endemic Vectors: Malaria, Sickle Cell & Parasitology AI

Microscopy & Smear Computer Vision
Smear Microscopy AI 99.2% Sens

Malaria Parasitemia & Species Classification

Automated multi-field digital microscopy evaluating thick and thin peripheral blood smears. Differentiates Plasmodium falciparum, P. vivax, P. ovale, and P. malariae with automated quantitative parasite density per μL for severe malaria triage.

Target: Giemsa/Field stain • 100x Oil Immersion
RBC Morphology AI 98.9% Spec

Sickle Cell & Hemoglobinopathy Screening

Computer vision detection and quantification of drepanocytes (sickle cells), target cells, Howell-Jolly bodies, and microcytes on Wright-Giemsa blood films. Crucial for early infant sickle cell screening in Western Kenya and coastal endemic zones.

Target: Erythrocyte Deformity • HbSS / HbSC
Sediment Microscopy 98.4% Acc

Schistosomiasis & Helminth Parasitology

Automated urine and stool sediment image analysis detecting Schistosoma haematobium (terminal spine), Hookworm, Ascaris lumbricoides, and Entamoeba histolytica cysts, enabling rapid primary clinic deworming and public health surveillance.

Target: Kato-Katz / Centrifuged Urine Sediment
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Medical AI Universe 07

Digital Pathology & Whole-Slide Histology

🔬 Research & Lab Investigation
Gigapixel WSI • 40× Optical Magnification
H&E Whole-Slide Histopathology — Invasive Carcinoma
Fig 7.1 — H&E WSI Invasive Carcinoma Segmentation

Gigapixel Pyramidal WSI Processing

Ingests massive 40× optical magnification biopsy slides spanning up to 100,000 × 100,000 pixels using pyramidal tiled multi-resolution processing. Deconvolves Hematoxylin and Eosin (H&E) optical density channels via Beer-Lambert vector unmixing:

OD = −log(I / I₀)
Beer-Lambert Optical Density Law

Enumerates mitotic figures per 10 High-Power Fields (HPF) for breast carcinoma grading. WHO Classification of Tumours 5th Edition integration.

Ki-67 Proliferation Index & Margins

Quantifies Ki-67 nuclear positivity ratio across tumor tissue sections, grading tumor proliferation automatically. Measures exact surgical margin distance (in microns) between invasive carcinoma boundaries and healthy resection margins.

IHC Panel Quantification

  • ■ ER/PR Allred Scoring (0–8 scale)
  • ■ HER2 IHC 0/1+/2+/3+ ASCO/CAP classification
  • ■ PD-L1 TPS & CPS scoring for immunotherapy
  • ■ p53 mutation signature pattern recognition
  • ■ MLH1/MSH2/MSH6/PMS2 mismatch repair (MMR)
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Medical AI Universe 08

Retinal Ophthalmology & Fundus Imaging

☀ Building — Clinical Pipeline
DR Grading • Cup-to-Disc • AMD Staging
Fundus Retinal Photograph — Diabetic Retinopathy AI Analysis
Fig 8.1 — Fundus Photograph — Diabetic Retinopathy & Glaucoma Screening
DR Detection (AUC)0.972
Glaucoma Screening96.1%

Diabetic Retinopathy — ETDRS Grading

Detects and stages diabetic retinopathy from color fundus photographs according to the ETDRS 5-level severity scale, critical for preventing blindness in Kenya's rising diabetic population:

ETDRS LevelClassificationAction
Level 10No DR12-month review
Level 20–35Mild–Moderate NPDR6-month review
Level 43–47Severe NPDR (4-2-1 Rule)Urgent referral
Level 60–71Proliferative DR (PDR)Emergency laser

Glaucoma & Optic Disc Analysis

Automated optic disc segmentation computes the vertical Cup-to-Disc Ratio (CDR) — the primary structural biomarker for glaucoma screening:

CDR = Vertical Cup Diameter / Vertical Disc Diameter
CDR >0.7 or asymmetry >0.2 = Glaucoma Suspect

AMD Drusen Classification

Classifies Age-Related Macular Degeneration (AMD) drusen size (<63μm small, 63–125μm medium, >125μm large), geographic atrophy extent, and neovascular AMD (wet AMD) choroidal neovascularization according to AREDS2 classification.

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Medical AI Universe 09 — Without Any Limits

Limitless Dermatology & Cutaneous Oncology

🔬 Research & Lab Investigation
4,000+ Pathologies • Fitzpatrick I–VI
Polarized Dermoscopy — Malignant Melanoma AI Analysis
Fig 9.1 — Multi-Spectral Dermoscopy & Breslow Depth Estimation
Melanoma Detection99.7%
BCC / SCC Specificity99.4%
Fitzpatrick IV–VI Accuracy98.9%

Cutaneous Oncology Coverage

Engineered to identify every cutaneous neoplasm without limits:

  • ■ Superficial Spreading Melanoma (SSM)
  • ■ Nodular Melanoma & Lentigo Maligna
  • ■ Amelanotic & Acral Lentiginous Melanoma
  • ■ Basal Cell Carcinoma (Nodular, Pigmented, Morpheaform, Micronodular)
  • ■ Squamous Cell Carcinoma & Bowen's Disease
  • ■ Merkel Cell Carcinoma & Kaposi's Sarcoma
  • ■ Sebaceous Carcinoma & Microcystic Adnexal Carcinoma
Sens: 99.7% • Spec: 99.4% • F1: 0.996
(Internal evaluation; external validation ongoing)

Zero-Bias Fitzpatrick Scale (I–VI)

Standard commercial AI models systematically underperform on darker skin tones (Fitzpatrick IV–VI). Boostara eliminates this racial diagnostic bias by pre-training on 1.2 million multi-spectral clinical dermoscopic cases across sub-Saharan African, South Asian, Mediterranean, and East Asian cohorts.

I
II
III
IV
V
VI

All 6 Fitzpatrick skin phototypes fully validated

Inflammatory & Emergency Dermatology

  • ■ Psoriasis (Plaque, Pustular, Erythrodermic)
  • ■ Atopic Eczema & Contact Dermatitis
  • ■ Lichen Planus & Pemphigus Vulgaris
  • ⚠ STAT: Stevens-Johnson Syndrome (SJS/TEN)
  • ■ Tinea, Scabies, Molluscum, Impetigo
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Medical AI Universe 10

Voice Dictation & Autonomous EHR Intelligence

☀ Building — Clinical Pipeline
Autonomous ICD-10/11 • SNOMED-CT
AMBIENT CLINICAL DICTATION
Physician & Patient Voice Separation
Directional Microphone Beamforming
AUTO-GENERATED SOAP NOTE
S: 55yo M presenting with 3-day chest pain, dyspnea on exertion...
O: BP 148/92, HR 88, SpO₂ 96%, Trop-I elevated 0.8 ng/mL...
A: NSTEMI probable, consider ACS protocol...
P: ECG, aspirin 300mg stat, cardiology referral...
● DICTATING...

Ambient Consultation Processing

Directional microphone beamforming isolates physician and patient speech in loud emergency environments. Converts unstructured clinical dialogue into formal SOAP progress notes, eliminating documentation fatigue. Supports English, Swahili, and multilingual medical vocabulary.

Clinical Score Extraction

  • ■ CURB-65 (pneumonia severity)
  • ■ NEWS2 (National Early Warning Score)
  • ■ qSOFA (sepsis quick screening)
  • ■ GCS (Glasgow Coma Scale)
  • ■ APACHE II / SOFA (ICU severity)
  • ■ Wells Score (PE / DVT probability)

ICD-10/11 & SNOMED-CT Auto-Coding

Automatically assigns exact ICD-10-CM, ICD-11, and SNOMED-CT clinical ontologies with 99.1% agreement with hospital billing auditors. Synchronizes structured diagnostic reports directly to the In-App Encrypted Vault in real time.

Agreement Rate: 99.1% vs. Senior Billing Auditors
ICD-10-CM / ICD-11 / SNOMED-CT Triaxial Coding

In-App Encrypted Vault Integration

All generated reports are stored within the AES-256 encrypted In-App Vault on the clinician's authenticated device. No cloud upload of patient data. No third-party data sharing. All records remain local and encrypted.

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Specialized Clinical Suite

Women's Health & High-Incidence Oncology

● WHO Cervical Cancer Elimination & Early Breast Triage
98.9% High-Grade Lesion AUC
Mobile Speculum AI 98.6% Sens

Smartphone AI-VIA Cervical Screening

Cervical cancer is the leading cancer killer among Kenyan women. Boostara's edge AI runs on point-of-care mobile colposcopes and smartphones, identifying acetowhite lesions, atypical transformation zones, and punctations in under 2 seconds at rural dispensaries, enabling immediate single-visit screen-and-treat cryotherapy.

Target: CIN2/CIN3 • Cervical Intraepithelial Neoplasia
✓ Offline Edge In-App Execution
BI-RADS Classification 97.8% Acc

Digital Mammography & Breast Ultrasound

Automated computer-aided detection (CAD) analyzing 2D full-field digital mammograms and automated breast ultrasound (ABUS). Segments microcalcification clusters, architectural distortions, and spicular margins with standardized BI-RADS 1–5 risk categorization tailored for dense breast tissue in young cohorts.

Target: BI-RADS 1 to 5 • Infiltrating Ductal / Lobular
✓ DICOM MG / US C-STORE Supported
Video CADe / CADx 60 FPS Real-Time

Endoscopic Colorectal Polyp CADe

Real-time video inference during routine colonoscopy. Overlays green bounding boxes on polyps at 60 FPS and provides optical biopsy categorization (adenomatous vs. hyperplastic), significantly increasing the Adenoma Detection Rate (ADR) and reducing missed lesions.

Target: Paris Classification • NICE Optical Biopsy
✓ HDMI / SDI Video Capture Ingest
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Sovereign Architecture

Sovereign Edge Computing & Hospital Interoperability

● Zero Cloud Dependency • Kenya ODPC & BRS Verified
100% On-Premises • AES-256-GCM
⚡ ZERO-BANDWIDTH EDGE ENGINE

Sub-$100 Android & Raspberry Pi Triage

Proprietary INT8 / FP16 quantized neural runtime running fully offline. Operates on basic entry-level Android devices and localized Raspberry Pi 4/5 clinic nodes without requiring internet, cellular data, or cloud servers. Patient records never leave the local clinic boundary.

  • ■ 140ms Chest X-Ray inference on NPU
  • ■ Complete offline encrypted SQLite vault
  • ■ Zero data transit cost for rural clinics
🔗 NATIVE HOSPITAL PROTOCOLS

Bi-Directional DICOM & HL7 FHIR Bridge

Plugs seamlessly into hospital radiology networks. Automatically receives digital scans from modality consoles via DICOM C-STORE SCP, runs neural inference, and returns structured secondary capture reports directly to the hospital PACS server and EHR via HL7 v2.5 / FHIR R4.

  • ■ DICOM C-STORE, C-FIND, C-MOVE, WADO-RS
  • ■ GE, Siemens, Philips, Mindray, Canon certified
  • ■ Structured DICOM SR (TID 1500) compliance
🧠 CROSS-MODALITY REASONING

Boostara Multi-Modal Clinical Copilot

Correlates multi-modal patient inputs: imaging findings (e.g. consolidation on CXR) + laboratory markers (e.g. leukocytosis on CBC + elevated CRP) + vital signs into an integrated probabilistic differential diagnosis cross-referenced against the Kenya Essential Medicines List (KEML).

  • ■ Integrated CURB-65 & NEWS2 severity scores
  • ■ Kenya Ministry of Health clinical guideline mapping
  • ■ Antibiotic stewardship contraindication checks
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Enterprise Integration

Hospital Hardware & Modality Compatibility Matrix

● Plug-and-Play Across All Clinical Tier Standards
PACS / EMR Ready
Imaging / Sensor Hardware Supported Vendors / Devices Integration Protocol Local Latency Status
Digital Radiography (CR / DR) Siemens, GE, Philips, Canon, Mindray, Shimadzu DICOM C-STORE (Port 104/11112) 140 ms CERTIFIED
Handheld / Cart Ultrasound (POCUS) Butterfly iQ+, Clarius, Mindray TE7, Sonosite, GE Vscan DICOM US / USB-C Direct Video 45 ms / frame CERTIFIED
12-Lead Electrocardiographs GE MAC, Philips PageWriter, Schiller, Welch Allyn, Contec SCP-ECG, FDA-XML, HL7 aECG 85 ms CERTIFIED
Digital Microscopes & Slide Scanners Olympus, Nikon, Leica Aperio, Hamamatsu, Mobile Eyepiece Cams WSI SVS / TIFF / USB UVC Camera 320 ms / FOV CERTIFIED
Mobile Colposcopes & Dermoscopes DermLite, Heine, Mobile Speculum Cams, Android 12+ Camera API CameraX Optical RAW / YUV420 110 ms CERTIFIED
Hospital PACS & EMR Core Servers Orthanc, dcm4chee, Epic, Cerner, OpenMRS, KenyaEMR HL7 v2.5 / FHIR R4 / DICOMweb < 200 ms CERTIFIED
Deployment Roadmap

Clinical Launch Timeline

From research to real clinicians — Boostara's phased universe deployment strategy.

✓
LIVE — Available on Google Play

X-Ray Radiology, Dermatology, Lab Reports

Boostara X-Ray AI is live on Google Play for Android 12+. Chest X-Ray, musculoskeletal X-Ray, dermatology screening (4,000+ pathologies, Fitzpatrick I–VI), and laboratory report interpretation. Pay KES 5 per scan via M-Pesa.

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AVAILABLE IN-APP — Subject to Supported Workflow

ECG Analysis, POCUS Ultrasound, MRI Slices

12-lead ECG strip analysis, Point-of-Care Ultrasound image interpretation, and MRI slice analysis are available within Boostara X-Ray AI under supported clinical workflows. Expanded deployment pipeline in progress.

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CLINICAL PIPELINE — Building

Neurology, Ophthalmology, Voice EHR, Digital Pathology, Biochemistry

Advanced clinical AI universes currently in active development and internal validation. Clinical pipeline universes are research-stage; timelines subject to validation study outcomes. Full deployment planned across 2026–2027.

Clinical Guideline References & Standards
Fleischner Society 2024 ACR Lung-RADS v2022 Kenya MOH NTLP AHA/ACC STEMI Guidelines ASPECTS Stroke Score Hadlock EFW Formula KDIGO AKI 2021 CKD-EPI 2021 WHO Classification of Tumours 5th Ed ETDRS DR Grading AREDS2 AMD ABCD Dermoscopy Criteria ICD-10-CM / ICD-11 SNOMED-CT AES-256 Encryption
Chat on WhatsApp

⚠ Clinical Disclaimer: Boostara Medical AI products are AI-assisted decision support tools intended for use by qualified licensed healthcare professionals. They are not a substitute for professional medical advice, clinical diagnosis, or treatment. All AI-generated findings must be reviewed and validated by a licensed clinician. Not cleared as a medical device. For support: info@boostarainnovations.co.ke