Medical image-based diagnosis
Users can upload medical images such as MRI, CT scan, radiology and ultrasound files to receive intelligent analytical and diagnostic results.
ALMAS HEALTH / MEDICAL ASSISTANT SYSTEM
ALMASHEALTH
AlmasHealth is presented in the supplied project deck as an advanced digital-health platform and intelligent medical assistant. It combines medical-image analysis, AI-assisted clinical support, patient–physician communication, appointment booking, healthcare-center discovery, online commerce, medical tourism, and connected medical-device data in one ecosystem.
10AI diagnostic modules listed in the supplied plan
>95%Detection accuracy claimed for the brain-tumor module in the source deck
12Languages targeted in the source plan
76Pages in the complete supplied AlmasHealth / ViraMed presentation
01 / CORE SERVICES
A digital-health ecosystem, not a single feature.
The supplied presentation describes AlmasHealth as both an intelligent medical assistant and a platform connecting patients, physicians, clinics, healthcare centers, pharmacies, hotels, and smart medical devices.
Online & in-person specialist consultation
Patients can book certified physicians for online consultations and schedule in-person visits.
Audio, video and text
The platform supports remote communication with physicians through audio and video, while the deck also describes text-based consultation and chat.
Medical tourism
Medical-tourism functions are designed to help patients travel to other countries, connect to healthcare services, find accommodations, reserve rooms and pay online.
Healthcare marketplace
Medical equipment, healthcare supplies, medications, hygiene products and related items can be presented through the online marketplace and e-shop.
Decision support for physicians
AI is positioned as a diagnostic assistant that analyzes images and medical data, surfaces patterns and alerts, and supports faster clinical decision-making.
02 / ARTIFICIAL INTELLIGENCE
Image analysis, test interpretation and physician support.
The AI section of the project deck covers medical imaging, laboratory-data interpretation and AI-assisted diagnostic recommendations.
Medical image analysis
- MRI
- CT scan
- Ultrasound
- Mammography and related imaging
Medical-test interpretation
AI systems are described as analyzing laboratory data, interpreting results and providing physicians with alerts about abnormalities or potentially dangerous trends.
More accurate diagnoses
The presentation describes AI as working alongside physicians to analyze data, provide recommendations, reduce human error and accelerate treatment workflows.
03 / APPOINTMENTS & DISCOVERY
Find the right physician or healthcare center.
01
Search by symptoms, specialty, physician or disease
Patients can search by symptoms, physician specialty, physician name and disease name to identify an appropriate provider.
02
Advanced physician filters
The deck lists city/province, specialty, facilities, insurance type, services, education level, and personal/ethical characteristics as comparison filters.
03
Physician map
Physician locations and geographic distribution can be displayed on a map so users can find nearby doctors and plan in-person visits.
04
Healthcare-center search
Hospitals, clinics and medical centers can be browsed by center type, specialty, public/private status, covered insurance, facilities, services and active specialties.
05
Physician profiles
Profiles can include specialty, education, work experience, services, insurance contracts, facilities and associated healthcare centers. Users can book clinic, online or phone appointments.
06
Reviews and ratings
The presentation proposes reviews and ratings covering professional ethics, specialized skills and diagnostic accuracy.
07
Healthcare-center profiles
Center profiles present facilities, medical equipment, treatment departments, welfare services, specialists and schedules, with booking by day and specialist.
04 / OPERATIONAL PANELS
Dedicated workflows for physicians and clinics.
Registration & credential verification
Physicians can register, submit identity and credential information, and begin activity after verification/document review by the support team.
Clinics & locations
Doctors can add clinic addresses, contact information, working days and hours separately for each location.
Services & expertise
Physicians can list services, diseases and conditions treated, and define schedules for clinic, online and phone consultations.
Tickets, patients & appointments
The physician panel includes support tickets/messages, a patient list with medical information and treatment history, and categorized appointment management.
Scheduling & specialties
Clinics can manage appointments, set working days/hours for departments or doctors, and maintain available specialties.
Finance, profile, doctors & departments
The clinic panel includes payment/invoice management, clinic history/facilities/equipment, doctor lists, and departments such as surgery, operating room and emergency.
05 / CONTENT, E-SHOP, TOURISM & IOT
Services around the clinical journey.
Health news, articles & video
The website blog includes health/medical news, scientific and practical articles, health-education videos, treatment introductions, physician presentations and medical-equipment content.
Online pharmacy & equipment store
The store includes categories, new arrivals, special discounts, bestsellers, popular brands and most-viewed articles, plus prescription ordering via online entry or image upload.
Product pages, cart & delivery
Product/category pages show descriptions, prices, features and images. Users can filter products, add items to a cart, select payment/delivery options, and enter recipient/address information.
Drugstore · Hygiene · Medical Equipment
The source deck explicitly groups the e-shop into drugstore, hygiene and medical-equipment categories.
Hotels & accommodations
Trusted accommodations near medical centers can be listed. Hotel owners receive a management panel to list rooms, set prices and manage reservations.
Reservation, stay duration & payment
Patients can choose rooms, specify number of stay days for cost/planning, pay accommodation costs online and receive a receipt.
Connected medical devices
Heart-rate monitors, thermometers and blood-oxygen devices are described as connecting to the mobile/user panel through APIs.
Real-time vital data
Vital measurements can be sent to a user's panel in real time, shared with physicians, and used for continuous remote monitoring and faster decision-making.
Reduce unnecessary in-person visits
The connected-device infrastructure is presented as a way to improve chronic-patient management, enable home care and increase patient satisfaction.
06 / VIRAMED AI DIAGNOSTIC MODULES
Ten diagnostic modules listed in the business plan.
The source deck introduces “ViraMed Physician Assistant” as the AI diagnosis component. It says the modules are trained on specialized datasets; the brain-tumor module is described as trained with 300,000 images from the University of Arkansas for Medical Sciences (UAMS, USA), from multiple angles, with detection accuracy stated as over 95%.
MRI Tumor Detection
Liver Tumor Detection in CT Scan
Polyp Detection in Colonoscopy Images
Ligament Tear Detection in Knee MRI
TensorFlow & Scikit-learn are explicitly named.
Mammography Analysis & Breast Cancer Detection
Kidney Tumors, Stones & Cysts in CT Scan
Brain MRI Segmentation for Multiple Sclerosis Detection
PyTorch is explicitly named.
Cataract Surgery Phase Recognition
Analysis of Genetic Changes in Blood for Diagnosing Blood Disorders (MML)
Bone Age Detection from Hand X-ray
PyTorch is explicitly named.
07 / BUSINESS PLAN
Revenue routes and stated competitive advantages.
Business partners
Doctors, clinics, hospitals, pharmacies and other individual/corporate service providers collaborate with the platform.
Intermediary platform
AlmasHealth acts between service providers and recipients so clients can access desired doctors or providers from anywhere.
Direct diagnostic service
The business-plan slide describes direct CT-image upload. It lists 35,000 IRR per image/service for users within Iran and USD 1 for users outside Iran, with a diagnosis in less than 30 seconds.
Government contracts
Government entities providing free/public healthcare can contract with the platform and pay an announced fee per user receiving the service.
Performance & price
The source claims the platform is fully operational and proposes USD 1 per processing/diagnosis, with lower project cost due to implementation in Iran.
Access & time reduction
The deck emphasizes remote doctor access, lower travel/waiting costs and fast AI processing. One slide says under 20 seconds; the B2C slide says less than 30 seconds.
Source-plan status note: competitive, pricing, speed, availability and market claims above are reproduced from the supplied July-2025-era business-plan material. They are not independently verified here and should be updated before being presented as current 2026 operational facts.
08 / LANGUAGES & MARKET FIGURES
International rollout assumptions in the supplied plan.
The deck states the platform was available in Persian and planned to support 12 languages by November 2025. The speaker counts below are reproduced as written in that plan.
| Language | Speaker count stated in deck | Language | Speaker count stated in deck |
|---|---|---|---|
| Hindi | 600 million | Chinese (Mandarin) | 1.2 billion |
| German | 200 million | French | 200 million |
| Spanish | 480 million | English | 1 billion |
| Arabic | 480 million | Turkish | 170 million |
| Japanese | 125 million | Dutch | 22 million |
| Russian | 200 million | Persian | 200 million |
Selected patient / market statistics reproduced from the deck
| Diagnostic area | Market figures stated in source |
|---|---|
| Brain MRI tumor detection | Iran ~55,000 patients annually; Turkey ~40,000/year stated on the slide; Persian Gulf-bordering countries ~12,000/year; Russia over 18,000. A following slide displays “in total 150,000.” |
| Liver tumor CT analysis | Iran ~10,000 with ~1,000 new annually; Russia over 100,000 with ~8,000 new annually; Turkey ~4,000 on the headline, with a separate line stating ~10,000 new liver-cancer cases/year; Persian Gulf-bordering countries ~3,000. A following slide displays “in total 117,000.” |
| Colon polyp detection | Iran ~20,000; Turkey ~5,600; Persian Gulf-bordering countries ~4,100; Russia ~65,000 undergoing colonoscopy. The slides also display standalone figures 41,000, 68,000, KSA 12,000, EGP 1,820 and 255,000 alongside IARC links. |
| Knee ligament tear MRI | Iran ~280,000, annual growth stated as 10%; Turkey ~100,000, with ~91,700 ACLR procedures stated for 2015–2022 and 14.8% knee OA prevalence among people over 50 (~1 million elderly people); Persian Gulf countries ~14,000; Russia ~45,000. |
| Breast cancer mammography | Iran over 1 million with a 10% growth-rate statement; Turkey over 170,000; Persian Gulf countries over 50,000; Russia 160,000. The slide also shows 35,700 for Saudi Arabia and 182,000 for Egypt alongside IARC links. |
| Kidney stone / cyst / tumor CT | Iran 6.5% prevalence for kidney stones; Turkey about 1%; Persian Gulf countries about 6% for kidney or bladder stones; Russia more than 35,000 people identified, with a separate “20,000” figure shown next to a source link. |
| Multiple sclerosis MRI segmentation | Iran ~120,000; Turkey ~90,000; Persian Gulf-bordering countries ~250,000; Russia ~145,000. |
| Cataract surgery phase recognition | Iran ~500,000 cataract surgeries annually; Turkey ~18,000; Persian Gulf-bordering countries described as ~2% / about 1 million people affected; Russia ~32,000. The related slide also displays 360,812 and 32,000. |
| Potential target population | The plan estimates over 7.5M in Iran, over 1.2M in Turkey, around 5M in Persian Gulf countries and over 1M in Russia for the relevant conditions, then states an initial target of over 15M patients across 9 countries, projected to reach 30M by end of year one. |
Demographics stated in the source plan
85 million
144 million
90 million
36 million
9.5 million
2.5 million
1.5 million
4 million
4.5 million
The deck states the total population of the Persian Gulf countries as approximately 58 million.
09 / COSTS & FINANCIAL ASSUMPTIONS
Development and rollout figures from the business-plan slides.
Important: these are historical/forecast figures copied from the supplied presentation. Currency labels, exchange-rate assumptions, staffing counts and totals should be reconciled before external financial use.
Personnel costs stated in the deck
| Workload | Schedule | Specialists | Specialty |
|---|---|---|---|
| 3,375 person-hours | 12 weeks | 10 people | Programmer |
| 4,680 person-hours | 104 weeks | 6 people | AI Specialist |
| 1,440 person-hours | 8 weeks | 4 people | R&D |
The same slide says approximately 300 hours were spent on R&D, while also stating approximately 9,495 person-hours total. It states monthly salaries of 30–50 million IRR, personnel spending of 10.444 billion IRR, an exchange assumption of 90,000 IRR/USD for more than half of the cost, and an estimated personnel total of approximately USD 116,000.
Initial equipment
For 20 people, systems were described as costing 100 million IRR each, with approximately 1.8 billion IRR total including other equipment. The slide also states 6,480,000,000 IRR spent from the first day until the time of the presentation, approximately USD 72,000 at 90,000 IRR/USD.
Office / building
Over 12 months, office rent, building maintenance and related expenses are stated as 600 million IRR.
NVIDIA Tesla A100 plan
The deck proposes 30 NVIDIA Tesla A100 devices at approximately 1.5 billion IRR each, plus racks, data center and first-year support estimated around 100 billion IRR. It then compares an estimated total of about 500 billion IRR with a roughly 6,000 billion IRR benchmark for central/free-zone companies.
12-month location table reproduced from the source
| Item | Iran | Turkey | UAE | Russia | Total shown |
|---|---|---|---|---|---|
| Number of personnel | 60 people | 2 people | 2 people | 2 people | 36 people |
| Personnel over 12 months | 144 billion Tomans | 144 billion Tomans | 4.6 billion Tomans | 2.37 billion Tomans | — |
| Office over 12 months | 600 million Tomans | 144 billion Tomans | 1.08 billion Tomans | 2.05 billion Tomans | — |
| Initial equipment | 3 billion Tomans | 144 billion Tomans | 2 billion Tomans | 1 billion Tomans | — |
| Annual total | 147.6 billion Tomans | 144 billion Tomans | 7.68 billion Tomans | 5.42 billion Tomans | 45.8 billion Tomans |
The table contains internal inconsistencies (for example, personnel totals and some location values). The page intentionally reproduces the supplied figures rather than silently correcting them.
Iran content-production team costs
| Role | Count | Monthly cost stated | Annual cost stated |
|---|---|---|---|
| Photographer | 1 | 30,000,000 Toman | 360,000,000 Toman |
| Filmmaker | 1 | 30,000,000 | 360,000,000 |
| Editor | 1 | 40,000,000 | 480,000,000 |
| Copywriter | 1 | 25,000,000 | 300,000,000 |
| Advertising Manager | 2 | 100,000,000 | 1,200,000,000 |
| Prize Campaign | — | 100,000,000 | 1,200,000,000 |
| Influencer | 10 | 400,000,000 | 4,800,000,000 |
| Total | 16 | 725,000,000 | 8,700,000,000 |
The slide additionally states that 10 billion was considered for permits across Iran, Turkey, Bahrain, Oman, Qatar, UAE, Kuwait and Russia, and another 10 billion for unforeseen first-year costs; it says these were not included in the month-by-month table.
Launch-cost slides
2.75B Tomans
Office & utilities: 125M; personnel (5 people): 125M; advertising: 2.5B.
6.35B Tomans
Office & utilities: 140M; personnel (5 people per office): 210M; advertising in both countries: 6B.
5.4B Tomans
Office & utilities: 600M; personnel (80 people × 80M): 1.8B as stated on the slide; advertising: 3B.
2.75B Tomans
Office & utilities: 125M; personnel: 125M; advertising: 2.5B.
6.35B Tomans
Office & utilities: 140M; personnel: 210M; advertising: 6B.
9.6B Tomans
Office & utilities: 600M; personnel (150 people × 40M): 6B; advertising: 3B.
The first-month revenue table uses a 15-million-person market assumption and a price range described as between USD 0.50 and USD 1. It shows: total monthly cost USD 383,000 / 25B Tomans; 5.5M online visitors; 275,000 online customers at a 5% average conversion rate; 137,500 offline customers; 412,500 total end customers; 137,500 Iranian customers (one-third); 275,000 foreign customers (two-thirds); USD 69,000 revenue from Iranian customers; USD 275,000 revenue from foreign customers; USD 344,000 total first-month revenue; and a result labeled “Close to break-even.”
10 / COMPLETE SOURCE PRESENTATION
All 76 pages, embedded on this page.
The structured sections above make the project easier to browse at an exhibition. The original supplied presentation is also embedded below so visitors can inspect every page, table, market statistic, source link and contact slide without leaving the Almas Health page.
11 / CONTACT & SOURCE-DECK IDENTITIES
Continue the conversation.
IFAIF / Almas Health
Product contact for the IFAIF website:
Contact details shown in the supplied Almas Group deck
Website: www.almasgroupco.com
Email: info@almasgroupco.com
Email: asadzadeh@almasgroupco.com
Phone shown: 0912-0366427
Phone shown: 021-66200599
@almasgroupco
Almas International Economic and Industrial Development Group
@almasgroupogp
Almas International Group Oil, Gas and Petrochemical Holding
@almasgroupcivil
Almas International Group Civil and Urban Planning Development Holding
@almasgrouphpi
Almas International Group Health and Pharmaceutical Industry Holding
@almasgrouptrading
Almas International Group Trading Holding
@almasgroupafn
Almas International Group Agricultural, Food and Dried Fruit Holding