Sovremennye Tehnologii v Medicine
Scope & Guideline
Exploring the Future of Medicine Through Innovation
Introduction
Aims and Scopes
- Medical Imaging and Diagnostics:
The journal publishes studies on various imaging techniques, including Optical Coherence Tomography, MRI, and radiomics, aimed at enhancing diagnostic accuracy and treatment planning. - Artificial Intelligence in Medicine:
A significant focus on the application of AI and machine learning in healthcare, particularly in predictive analytics, diagnostic algorithms, and treatment personalization. - Tissue Engineering and Regenerative Medicine:
Research on innovative biomaterials, scaffolds, and cellular therapies to promote tissue regeneration and repair, often incorporating novel methodologies. - Genomics and Molecular Biology:
Exploration of genetic markers, molecular pathways, and their implications in disease mechanisms, particularly in cancer and genetic disorders. - Neuroscience and Neurotechnology:
Studies related to neurological conditions, brain-computer interfaces, and neurorehabilitation technologies, highlighting advancements in understanding brain function and recovery. - Surgical Innovations and Techniques:
Research on minimally invasive surgical techniques, novel surgical protocols, and their outcomes, focusing on improving patient safety and recovery.
Trending and Emerging
- Telemedicine and Remote Monitoring:
There is an increasing emphasis on telemedicine and remote patient monitoring technologies, particularly in response to the COVID-19 pandemic, highlighting their importance in modern healthcare delivery. - Personalized Medicine and Genomics:
A trend towards personalized medicine, with a focus on genomic data and tailored therapies, is evident, reflecting a broader shift in healthcare towards individualized treatment plans. - Biomaterials and Bioengineering:
Research on novel biomaterials for various applications in regenerative medicine and surgical procedures is on the rise, driven by innovations in material science. - Neurotechnology and Brain-Machine Interfaces:
The field of neurotechnology, particularly brain-computer interfaces for rehabilitation and treatment of neurological disorders, is gaining traction, signaling a robust interest in integrating technology with neuroscience. - AI and Machine Learning Applications:
The utilization of AI and machine learning in diagnostics, treatment planning, and predictive analytics is rapidly increasing, showcasing their transformative potential in clinical practice.
Declining or Waning
- Traditional Surgical Techniques:
There has been a noticeable decline in publications focusing on conventional surgical methods, as the field moves towards minimally invasive and technologically advanced approaches. - Basic Biomedical Research:
Research emphasizing basic science without direct clinical applications has decreased, indicating a shift towards translational research that directly impacts patient care. - Invasive Diagnostic Procedures:
The frequency of studies on invasive diagnostic techniques appears to be waning as non-invasive and imaging-based methods gain favor due to their safety and effectiveness.
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