AIMS and SCOPE

The journal welcomes original research, reviews, commentaries, and case studies in the following areas:

 

1. ClinicalApplications of AI:

-          Diagnostic systems using machine learning and deep learning.

-          AI-driven therapeutic planning and precision medicine.

-          Predictive analytics for patient outcomes and treatment optimization.

 

2. Medical Imaging and Signal Processing:

-          AI for image recognition, segmentation, and anomaly detection in radiology, pathology, and dermatology.

-          Analysis of medical signals such as ECG, EEG, and wearable sensor data.

 

3. AI in DrugDiscovery and Development:

-          Computational models for drug screening, repurposing, and molecular design.

-          AI in clinical trial optimization, patient recruitment, and monitoring.

 

4. AI-PoweredHealth Informatics:

-          Integration of AI in electronic health records (EHR) for decision support.

-          Natural language processing for unstructured medical data.

-          AI for population health management and epidemiology.

 

5. Ethics, Policy, and Implementation of AI in Medicine:

-          Bias detection and mitigation in AI models.

-          Regulatory challenges, data privacy, and security in AI-driven healthcare.

-          Ethical considerations in AI for decision-making and patient care.

 

6. AI forGlobal Health:

-          Low-cost AI solutions for resource-constrained settings.

-          Addressing healthcare disparities through AI innovations.

 

7. Interdisciplinary Studies:

-          Collaborative efforts between AI developers, clinicians, and policymakers.

-          Impact studies on AI adoption in medical practices.

 

8. EmergingTrends and Technologies:

-          Applications of generative AI in medical education and simulation.

-          Quantum computing and its potential in medical AI.

-          Wearable and IoT-enabled AI systems for real-time monitoring.

 

TYPES OF MANUSCRIPTS

 

The journal invites:

-          Original Research Articles: Groundbreaking studies presenting new AI methodologies or applications in medicine.

-          Review Articles: Comprehensive overviews of specific topics or trends in AI and medicine.

-          Mini Review Articles: short, reviews focused on one specific topic.

-          Perspective and Commentary Articles: Thought-provoking insights on ethical, social, or policy implications.

-          Case Studies: Real-world implementations and lessons learned from deploying AI in medical settings.

-          Technical Notes: Detailed descriptions of novel AI algorithms or tools relevant to medicine.