The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on disease prediction and diagnosis using machine learning and AI — covering heart, liver, kidney, respiratory, skin, and infectious disease prediction models.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
The increasing adoption of large language mod-els (LLMs) and domain-adapted transformers in healthcare has created a new privacy challenge: fine-tuned models may memorize rare clinical strings and later reveal them throu…
Regulated AI creates a monitoring problem for deployers who must organise human oversight, log-retention and post-market surveillance while often having access only to the prediction interface. This study specifies a dep…
The diagnosis of plant diseases in Capsicum species remains a critical challenge in precision agriculture due to variability in environmental conditions and limited availability of high-quality datasets. The traditional…
In modern healthcare, medical imaging has a significant role in understanding the structure and functioning of the human body, which helps doctors to diagnose, to plan the treatment, and to monitor the disease. Chest X-r…
White Spot Disease (WSD) is a major threat to aquaculture production and requires accurate image-based detection methods for early diagnosis. However, disease marker detection in fish images is challenging due to noise,…
Alzheimer's disease (AD) refers to a progressive neurodegenerative disease involving cognitive impairment, brain atrophy, and functional neurological deficits that make early prediction and subsequent disease progression…
Alzheimer’s disease (AD) is associated with widespread disruption of functional brain networks. While graph-theoretic studies have characterized altered connectivity patterns in Alzheimer’s disease, most of the analyses…
Chronic Kidney Disease (CKD) is a progressive and irreversible condition that requires early prediction of renal deterioration for effective clinical intervention. Existing studies based on static machine learning and co…
Renal pathology represents a diverse set of diseases that present significant clinical relevance. Included among the various types of renal pathologies are renal stones, cysts, and renal malignancies, all of which requir…
Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide, where early and accurate diagnosis plays a vital role in improving survival rates. Recent advancements in deep learning h…
