Call for Papers for the Special lssue 

"Artificial Intelligence in Health"

The outstanding manuscripts of this conference will be recommended for submission to this special issue.

About the Special lssue 

Artificial Intelligence in Health aims to provide a freely accessible multidisciplinary and comprehensive platform for researchers, scientists, and AI in health and medicine sciences practitioners to publish and exchange cutting-edge advancements, insights, technological development and innovations at the intersection of artificial intelligence (AI) and health. The journal seeks to explore the transformative potential of AI in improving and understanding health and medicine research outcomes, enhancing clinical decision-making, optimizing resource allocation, and addressing various challenges in the multidisciplinary field of health.

We look forward to receiving your interesting submissions. Topics include, but are not limited to, the following:

AI-based medical diagnosis and prognosis covers research on the development and application of AI techniques, such as machine learning, deep learning, and natural language processing, for accurate medical diagnosis and prognosis. It includes studies on Bio's multi-omics analysis, image analysis, pattern recognition, clinical data mining, and predictive modeling to aid in the identification, classification, and prediction of diseases.

AI clinical decision support systems encompass research on the design, development, and evaluation of AI-driven clinical decision support systems. Topics include algorithms for treatment recommendation, patient risk stratification, personalized medicine, and decision-making tools that integrate patient data, clinical guidelines, and evidence-based knowledge.

AI-driven drug discovery and development focuses on AI techniques applied to accelerate drug discovery, including virtual screening, molecular modeling, and predictive analytics. It also covers the use of AI in drug repurposing, toxicity prediction, and pharmacovigilance to enhance the efficiency and safety of pharmaceutical development processes.

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Submission: Click