Volume 11, Issue 4 (3-2025)  

View This Issue in Alternative Language Export Journal XML Articles RSS
XML Persian Abstract The Functional and Non-Functional Requirements of a Telemedicine System for Chronic Pain Management
P. 282-290
Zeinab Kohzadi , Ali Dabbagh , Mehrdad Taheri , Hassan Emami , Mahshid Ghasemi , Zahra Kohzadi , Shahabedin Rahmatizadeh *
Abstract (2454 Views) | Full-Text (PDF) (620 Downloads)   |   Highlights
  • The design of a telemedicine system can organize data, reduce errors, and improve the quality of care.
  • An integrated and reliable telemedicine system with a good user experience for patients and doctors is essential.
  • Multimodal communication (audio, video, text) improves patient-doctor interaction.
  • Integrated electronic medical records enable accurate information registration and retrieval.
  • Identifying needs and using modern technology allow for better health services access and management.

| Audio File [MP3]  (93 Download)

XML Persian Abstract Designing a Fuzzy Stable System to Estimate Peripheral Resistance Using Frequency and Pulse Strength Parameters of Persian Medicine
P. 291-305
Mohammad Dehghandar * , Maryam Nikbakht , Fateme Yousefi Nadarabadi
Abstract (1992 Views) | Full-Text (PDF) (488 Downloads)   |   Highlights
  • By designing a Fuzzy Stable System, Persian medicine (PM) is connected to conventional medicine.
  • PM pulsology estimates the peripheral resistance of the photoplethysmogram signal using this system.
  • Trained doctors can estimate peripheral resistance (PR) by examining a person's PM pulsology.
  • Diseases associated with pulse rate, pulse strength, and PR can be predicted.
  • The fuzzy system remains stable within the defined range, with a maximum error of 0.01.

| Audio File [M4A]  (140 Download)

XML Persian Abstract Differential Diagnosis of Precancerous and Cancerous Oral Lesions Based on an Integrated Artificial Intelligence Model
P. 306-322
Rouhollah Maghsoudi * , Mehdi Tavan
Abstract (682 Views) | Full-Text (PDF) (233 Downloads)   |   Highlights
  • A model with 95.23% accuracy was developed for detecting oral cancer using AI.
  • SVM outperformed other algorithms in classifying cancerous and precancerous lesions.
  • The study integrated image preprocessing, feature extraction, and machine learning techniques.
  • 30 key features were selected to improve classification accuracy using clustering.
  • The model can assist doctors in faster and more accurate diagnosis of oral diseases.

| Audio File [MP3]  (27 Download)

XML Persian Abstract Automatic Detection and Segmentation of Bone, lung, and soft tissue Based on Computed Tomography Scan Using Deep learning
P. 323-335
Mohammad Mohammadian , Maryam Khazaee Moghadam * , Elham Saniei
Abstract (2560 Views) | Full-Text (PDF) (498 Downloads)   |   Highlights
  • MobileNet-v2 offers superior performance in CT scan analysis and tissue segmentation.
  • High accuracy in simultaneous segmentation of bone, lung, and soft tissue was achieved with MobileNet-v2.
  • Neural networks with deep learning identify complex patterns in medical images.
  • The use of CT scan images provides relatively good boundaries for segmentation.
  • MobileNet-V2 is recommended for segmentation due to its high speed and efficiency.

| Audio File [MP3]  (102 Download)

XML Persian Abstract Enhancing HIFU Lesion Area Detection through Supervised and Contrastive Self-Supervised Learning with Wavelet-Based Feature Extraction and Hard Negatives (HWCSSL)
P. 336-347
Matineh Zavar , Hamid Reza Ghaffari * , Hamid Tabatabaee
Abstract (3074 Views) | Full-Text (PDF) (552 Downloads)   |   Highlights
  • A new way to detect injuries helps doctors see affected areas more clearly.
  • This research improves accuracy in identifying affected tissue without needing additional tests.
  • Smart image processing makes medical scans more helpful for quick and reliable diagnosis.
  • The method supports safer treatments by reducing the risk of harming healthy areas.
  • Advanced technology makes non-invasive treatments more effective for patients.

| Audio File [M4A]  (73 Download)

XML Persian Abstract Healthcare System Intelligentization: Benefits and Challenges
P. 348-351
AliAkbar Haghdoost *
Abstract (2288 Views) | Full-Text (PDF) (576 Downloads)

XML Persian Abstract Development and Implementation of an Electronic Health Information System in Disasters and Emergencies
P. 352-358
Simin Salehinejad , Kambiz Bahaeddinbeigi *
Abstract (997 Views) | Full-Text (PDF) (305 Downloads)

Export as: HTML | XML | RSS

© 2025 CC BY-NC 4.0 | Journal of Health and Biomedical Informatics

Designed & Developed by : Yektaweb