AIM and SCOPE

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xploration of machine learning (ML), deep learning (DL), and natural language processing (NLP) algorithms designed to assist in diagnosis, prognosis, and treatment planning across various medical conditions. Research on AI's role in early disease detection, risk stratification, and predictive analytics is also central.

AI applications in the analysis and interpretation of medical imaging, such as radiology, pathology, and ophthalmology. This includes computer vision techniques for automated detection, segmentation, and diagnosis, as well as real-time AI-powered tools for surgical planning and image-guided procedures.

The integration of AI into robotic surgery, smart surgical instruments, and real-time decision support systems. Research on how AI enhances precision, reduces human error, and supports minimally invasive procedures will be a key focus, including AI-based surgical simulators for training and skill assessment.

AI’s role in the drug development process, from discovery to clinical trials, and its ability to enable precision medicine through personalized treatment plans. This includes AI-driven algorithms for drug repurposing, biomarker identification, patient stratification, and optimizing therapeutic regimens.

Investigating how AI can optimize healthcare delivery by improving administrative workflows, resource allocation, patient flow management, and cost-efficiency. Studies on the use of AI in hospital management, staffing, and patient monitoring systems are vital to enhancing operational performance.

AI’s contribution to the management, analysis, and interpretation of large-scale health data, including electronic health records (EHR), population health data, and clinical trial data. This includes the use of AI for predictive analytics, decision support systems, and intelligent healthcare applications that promote data-driven clinical practices

A critical examination of the ethical, legal, and social implications of AI technologies in medicine and surgery. Topics will include transparency, fairness, accountability, patient privacy, data security, and the regulation of AI tools in healthcare to ensure safety and efficacy.

AI applications in remote patient monitoring, telemedicine, wearable devices, and mobile health apps. The journal will explore how AI-powered technologies can track health metrics, predict adverse events, and promote patient engagement, adherence to treatment protocols, and self-management.

The use of AI to enhance medical education, training, and skill development, including AI-based simulation platforms, virtual reality (VR) and augmented reality (AR) tools, and AI-driven curricula that assist in medical and surgical training.

AI’s role in epidemiology, public health, and addressing health disparities. Topics include the use of AI for epidemic outbreak prediction, disease surveillance, global health monitoring, and AI applications in healthcare access and equity in underserved regions.

The Journal of Artificial Intelligence in Medicine & Surgery welcomes the submission of high-quality, original research articles, case studies, reviews, technical papers, and opinion pieces. We encourage contributions that span the development, evaluation, and clinical implementation of AI technologies, as well as their impact on the healthcare ecosystem. By embracing multidisciplinary perspectives, J-AIMS aspires to lead the conversation on how AI can transform the future of healthcare.

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