Aim & Scope

Aim & Scope

The Journal Draft is a peer-reviewed, open-access journal dedicated to advancing the science, technology, and clinical application of Artificial Intelligence in Medicine. Our aim is to provide a high-quality platform for researchers, clinicians, engineers, data scientists, and healthcare innovators to publish impactful work that drives the digital transformation of modern healthcare.

The journal welcomes a broad spectrum of scholarly contributions, including original research articles, systematic and narrative reviews, case studies, technical reports, clinical evaluations, short communications, and perspective/commentary pieces that highlight emerging developments in medical AI.

Core Areas of Interest Include, but Are Not Limited To:

1. Machine Learning & Deep Learning in Clinical Care

  • Algorithms for diagnosis, prognosis, and treatment planning

  • Decision-support systems and AI-enabled clinical workflows

  • Model explainability, interpretability, and performance optimization

2. AI-Driven Diagnostics & Predictive Modeling

  • Early disease detection and risk stratification

  • Predictive analytics for patient outcomes and disease progression

  • Forecasting tools for personalized and precision medicine

3. Medical Imaging, Radiomics & Automated Detection

  • Deep learning for radiology, pathology, ophthalmology, cardiology, and oncology imaging

  • Segmentation, classification, and anomaly detection systems

  • Radiomics and multi-modal image analysis

4. Natural Language Processing in Healthcare

  • Clinical text mining and electronic health record (EHR) analysis

  • Large language models (LLMs) in medical interpretation

  • Automated clinical documentation, summarization, and decision support

5. Robotics, Automation & Intelligent Surgical Systems

  • AI-assisted surgery and robotic precision tools

  • Autonomous or semi-autonomous medical procedures

  • Smart rehabilitation and assistive robotic technologies

6. Healthcare Analytics, Big Data & Computational Medicine

  • Multisource data integration (EHR, imaging, genomics, wearables)

  • Real-time analytics for hospital operations and public health

  • Computational modeling for biological and physiological systems

7. Digital Health, Telemedicine & Remote Monitoring

  • AI-driven telehealth platforms and virtual care

  • Smart wearables and continuous patient monitoring

  • Digital therapeutics and patient engagement technologies

8. Ethics, Governance & Regulatory Standards in Medical AI

  • Bias, fairness, and transparency in healthcare AI systems

  • Data privacy, clinical safety, and validation frameworks

  • Regulatory policies, certification, and responsible AI deployment

Journal Mission

Our mission is to foster scientific discovery, technological innovation, and clinically responsible integration of artificial intelligence into healthcare. The Journal Draft supports research that enhances patient outcomes, strengthens clinical decision-making, improves operational efficiency, and advances global health equity through ethical, transparent, and meaningful use of AI technologies.