About the Journal

Introducing the Journal of Artificial Intelligence in Health Horizons: Pioneering the Future of Healthcare through Artificial Intelligence.
Welcome to The Journal of Artificial Intelligence in Health Horizons, an innovative and transformative international journal launched in2024 under the expert guidance of Dr. Prof. Riffat Shahani. Our journal explores the crucial intersections of artificial intelligence, healthcare, and technology, positioning itself as a leading voice in reshaping the future of medical research and practice.
At The Journal of Artificial Intelligence in Health Horizons, we are committed to breaking down barriers to knowledge by providing unrestricted open access to a vast array of high-quality research. We challenge traditional publishing norms to make cutting-edge discoveries and insights readily available to the global community. Our distinguished and diverse editorial board comprises experts in artificial intelligence, medical informatics, clinical research, public health, and more, ensuring that we remain at the forefront of discourse surrounding AI's impact on health care systems and patient outcomes.
Join us on this imperative mission to amplify innovative ideas and research in the realm of artificial intelligence and healthcare. Whether you are an established researcher, a healthcare professional, or a technology enthusiast, we invite you to collaborate with us in redefining the boundaries of health scholarship. Share your groundbreaking research, insightful reviews, or case studies with us at editor@AIHealthHorizons.com and become part of the journey toward transforming healthcare delivery.
In our pursuit of excellence, The Journal of Artificial Intelligence in Health Horizons invites proposals for special themed issues and engaging cover art that reflect the vitality and diversity of AI in health. If you have a vision for redefining health narratives and advancing research horizons, contact us with your innovative ideas at editor@AIHealthHorizons.com and help us chart new academic territories.
We believe in democratizing access to knowledge, which is why we impose no submission or publication fees for our esteemed contributors. To join our vibrant community of researchers, innovators, and healthcare visionaries, submit your manuscript for review using the provided link, and take part in the intellectual revolution that is redefining healthcare through artificial intelligence. Together, let’s explore the horizons of AI in health and pave the way for a new era of transformative healthcare solutions.


Aims & Scope
The Journal of Artificial Intelligence in Health Horizons is an online open-access, multidisciplinary journal dedicated to publishing high-quality, peer-reviewed research across all facets of artificial intelligence (AI) in health and medical science. Our mission is to enhance the scientific community's understanding of the potential, challenges, and impacts of AI applications on health delivery, patient outcomes, and population health through the dissemination of research papers, reviews, and case studies.


Topics covered include:
AI-based Medical Diagnosis and Prognosis research focused on the development and application of AI techniques, such as machine learning, deep learning, and natural language processing, aimed at enhancing the accuracy of medical diagnosis and prognosis. This includes studies on multi-omics analysis, image analysis, pattern recognition, clinical data mining, and predictive modeling for disease detection and classification.
AI Clinical Decision Support Systems investigations into the design, development, and evaluation of AI-driven clinical decision support systems, including algorithms for treatment recommendations, patient risk stratification, personalized medicine, and the integration of patient data with clinical guidelines and evidence-based knowledge.
AI-Driven Drug Discovery and Development application of AI techniques to accelerate drug discovery, encompassing virtual screening, molecular modeling, and predictive analytics, along with AI's role in drug repurposing, toxicity prediction, and pharmacovigilance to enhance the efficiency and safety of pharmaceutical development processes.
AI-Enabled Healthcare Operations and Management research focused on the utilization of AI for optimizing healthcare operations, resource allocation, and workflow management. Topics include patient flow optimization, bed management, resource allocation, scheduling algorithms, and predictive analytics for resource demand forecasting, incorporating applications in telemedicine and remote patient monitoring.
AI-Assisted Electronic Health Records and Clinical Informatics studies examining AI techniques applied to improve the quality, interoperability, and usability of electronic health records (EHRs). This includes data integration, natural language processing for EHR analysis, AI-driven clinical decision support tools embedded within EHR systems, and considerations of privacy and security in AI-driven health informatics.
AI-Based Research and Wearable Devices exploration of the application of AI in developing intelligent medical devices for diagnosis and treatment, encompassing remote health management, wearable technologies for continuous monitoring, intelligent symptom detection, and AI-supported virtual healthcare consultations.
Social Implications of AI in Health examination of the social implications of AI integration in healthcare, focusing on privacy, data security, algorithmic bias, the explain ability and interpretability of AI models, health disparities resulting from AI applications, and related regulatory considerations.
AI in Public Health Investigations into how AI can be leveraged to improve public health outcomes through data analysis for epidemic prediction, disease surveillance, health resource allocation, and population health management, including the development of models for effective health interventions.
Ethics and Governance of AI in Health discussion on ethical considerations surrounding the use of AI in healthcare, including patient consent, accountability in AI decision-making, frameworks for ethical AI use, and the development of guidelines for responsible AI deployment and governance.
Clinical Trials and AI research focused on utilizing AI to enhance the design and execution of clinical trials, including patient recruitment, real-time data analysis, adaptive trial designs, and ensuring compliance and ethical considerations throughout the trial process.
This journal aims to be at the forefront of research and dialogue on the intersection of artificial intelligence and health, fostering advancements that can lead to improved healthcare systems and outcomes while addressing both the technological and societal implications of AI in health settings.

Article Processing Charges
Open Access (OA) and Article Processing Charges (APCs) Policy
DCER does not charge any fee for the submission or publication.