Aim and Scope

Overview

The Journal of Clinical and Advanced Medicine (JCAM) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality, impactful research across the broad spectrum of medical sciences. Published by NEO-ART EXCELLENCE HUB PRIVATE LIMITED, JCAM operates on a continuous publication model, compiling articles into two issues per annual volume.

Aim

The primary aim of JCAM is to advance global healthcare by providing an authoritative platform for clinicians, researchers, and academicians to share robust, evidence-based research that directly influences clinical practice, medical education, and healthcare policy. The journal specifically seeks to bridge the gap between traditional clinical specialties and emerging, advanced technologies—such as Artificial Intelligence—fostering interdisciplinary collaboration that accelerates clinical outcomes and improves patient care worldwide.

Scope

JCAM welcomes original research, comprehensive reviews, illustrative case reports, short communications, and authoritative editorials. The journal covers all major areas of clinical medicine, including clinical trials, translational research, and technological interventions.

The core subject areas covered by the journal include, but are not limited to:

  • Internal Medicine: Advancements in the diagnosis, non-surgical treatment, management, and prevention of complex adult diseases.
  • Oncology: Clinical and translational research in cancer screening, innovative oncological therapies, tumor biology, and palliative care.
  • Pediatrics: Comprehensive studies focusing on neonatal care, child development, and adolescent healthcare.
  • Psychiatry: Insights into mental health disorders, behavioral therapeutics, clinical psychology, and neuropsychiatry.
  • Surgery: Innovative operative techniques, surgical outcomes, perioperative care, and technological advancements in the operating room.
  • Molecular Medicine: Basic and translational investigations into the molecular, cellular, and genetic mechanisms underlying human pathology.
  • Clinical Pharmacology: Drug development, pharmacokinetics, therapeutic efficacy, safety evaluations, and adverse drug reactions.
  • Artificial Intelligence in Clinical Care: The integration of AI, machine learning algorithms, deep learning diagnostics, predictive modeling, big data analytics, and digital health tools in real-world clinical workflows.

Publishing Policy Highlights

  • Open Access: All articles are published under a Creative Commons Attribution License (CC BY 4.0), ensuring immediate, free global access.
  • Peer Review: A rigorous, transparent Double-Blind Peer Review process to ensure the highest scientific integrity.
  • Anti-Plagiarism: Strict enforcement of a 15% or below similarity index (excluding references) prior to entering review.