Boostara Medical AI

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BOOSTARA MEDICAL AI
BY BOOSTARA INNOVATIONS
Multi-Platform Ecosystem

Install Boostara Client On Your Device

To maintain absolute patient confidentiality, all clinical scans and health records are saved directly in your personal In-App Encrypted Vault on your device. Download our app today for mobile and desktop clinical workstations.

IN DEVELOPMENT CONCEPT / DEVELOPMENT PREVIEW Planned Workstation Interface

Boostara Clinical Desktop Workstation

Designed for future radiology reading-room workflows, multi-monitor diagnostic displays, institutional hospital deployments, native PACS DICOM C-STORE routing, and high-throughput clinical environments.

Boostara Workstation v0.9-Preview Reading Room Mode PACS C-STORE: LISTENING (PORT 104)
ACTIVE WORKLIST (3) EMERGENCY TRIAGE
PT-84920 (M, 48) NEW
Modality: Chest X-Ray (PA)
Indication: Acute Dyspnea, Fever 39C
PT-84921 (F, 29) PENDING
Modality: Right Ankle AP/Lat
Indication: Inversion trauma, swelling
PT-84922 (M, 63) PENDING
Modality: Non-Contrast Head CT
Indication: Acute neurological deficit
STUDY METADATA
Series: 1.2.840.10008.5.1.4.1.1.1
Matrix: 2048 x 2048 x 16-bit
Pixel Spacing: 0.143 mm / px
Acquisition: Direct Digital Radiography (DR)
W: 1500 / L: -600
Clinical Workstation DICOM Viewer
BOOSTARA WORKSTATION PREVIEW
PATIENT ID: ANONYMIZED-KE-84920
kVp: 120 | mAs: 3.2
VIEW: CHEST PA ERECT
LATENCY: 112ms (LOCAL GPU)
CONFIDENCE: 94.2%
Finding: Focal alveolar opacity, right lower lobe with air bronchograms
BOOSTARA AI FINDINGS MODEL 9 + MODEL 7
Primary Impression:
Bacterial Lobar Pneumonia
ICD-11: CA40.0 High Clinical Concordance
Differential Considerations:
  • Atypical / Viral Infiltrate (Low)
  • Pulmonary Infarction / PE (Excluded)
  • Active Cavitary TB (Rule-Out)
Deterministic Severity:
CURB-65 = 2 (Moderate Risk)
Guideline: NICE NG138 / Kenya MOH
REPORT ACTIONS
In-App Vault: Sealed Local AES-256 Audit Trail: Logged to Local Hardware Keystore Mandatory Clinician Sign-off Pending
Available Now Live
Boostara Android App

Android Phone & Tablet

Official public release on Google Play. Multi-modality imaging, voice dictation, In-App Encrypted Vault, and Safaricom M-Pesa STK push wallet integration.

Package: com.boostarainnovations.boostarax_xrayai
Min Android: Android 12+ (API Level 31+)
Hardware: ARM64-v8a / x86_64
TestFlight Beta Coming Soon
Boostara iOS Mobile App

iPhone & iPad (iOS)

Native Swift iOS application with Apple Neural Engine acceleration, Apple Secure Enclave biometric vault, and multi-touch DICOM zoom.

Status: TestFlight Early Access
Store: Apple App Store (Review)
Security: Apple Secure Enclave
Boostara Windows Diagnostic Suite

Windows Clinical Workstation

Dedicated Windows 64-bit desktop application (.exe) tailored for high-throughput diagnostic radiology suites with multi-monitor DICOM viewing and PACS server bridges.

Format: Windows .exe (x64 / ARM64)
OS: Windows 10 / 11 Pro
Acceleration: DirectX 12 / NVIDIA CUDA
Boostara Linux PACS Station

Linux Radiology Workstation

Compiled for Ubuntu, Debian, RedHat, and Arch hospital PACS servers. Built with native Vulkan graphics and local zero-knowledge LUKS volume integration.

Format: .deb / AppImage / Flatpak
Kernel: Linux 5.15+ (glibc 2.31+)
Driver: Vulkan / ROCm / CUDA
Boostara macOS Medical Studio

macOS Medical Studio

Universal binary optimized for Apple Silicon (M1/M2/M3/M4) utilizing Metal 3 framework and unified memory architecture for instantaneous 3D volumetric rendering.

Format: Universal .dmg
Min macOS: macOS 13 (Ventura) +
Engine: Metal 3 Hardware Shaders
Boostara PACS Gateway

Hospital PACS Gateway Appliance

Docker / Kubernetes containerized gateway bridging GE, Siemens, Philips, and Canon PACS servers directly to Boostara Cloud AI with continuous DICOM C-STORE routing.

Format: Docker / Helm Chart
Standard: DICOM Part 10 / HL7 FHIR
Deployment: On-Premises DMZ Server
Architecture Distinction

Mobile App vs. Desktop Clinical Workstation

Boostara X-Ray AI is engineered differently depending on the clinical environment. Compare the point-of-care mobile application with our dedicated hospital desktop workstation.

Clinical Requirement Boostara X-Ray AI (Android Mobile) Boostara Clinical Desktop Workstation (Windows / Linux)
Operating Environment Point-of-care, emergency triage, bedside rounds, outpatient clinics Hospital radiology reading suites, PACS stations, high-throughput departments
Display Layout Single-screen portrait mobile OLED/LCD display Dual/triple 4K/5K Barco & Eizo diagnostic displays with synchronized hanging protocols
PACS Integration Direct image upload & PDF report export via mobile client Native DICOM C-STORE, C-FIND, C-MOVE server daemon with HL7/FHIR RIS/HIS connectivity
Hardware Acceleration Mobile NPU (Qualcomm Hexagon / MediaTek APU) Direct NVIDIA RTX / CUDA TensorRT acceleration running locally on workstation GPU
Network Autonomy AES-256 encrypted local vault with cloud inference fallback Air-gapped hospital LAN intranet deployment with zero external internet dependencies
Clinical Controls Multi-touch gestures & mobile voice dictation USB foot pedals, macro keypads, dictation mics & motorized PACS scroll wheel
Billing & Tokens Safaricom M-Pesa STK push token billing (KES 5 / scan) Consolidated departmental monthly invoicing & enterprise institutional licensing
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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: support@boostarainnovations.co.ke