Dr Olivier CUSSENOT, MD, PhD Department of Urology, Medical University of Vienna AKH

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Dr. Serap Gokce Eskin, PhD Faculty of Nursing, Adnan Menderes University

Dr. Anik Tuladhar, PhD Investigative Toxicology and Pathology, AbbVie

Dr. Anik Tuladhar, PhD

Yalemzer Agegnehu, PhD Arba Minch University

Yalemzer Agegnehu

Director, Benmarg Scientific Research Hub

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Chandrakant R. Sonawane, PhD Symbiosis Institute of Technology (SIT)

Chandrakant R. Sonawane

GGS Pradeep, PhD Computer Science Engineering, Alliance University

Prof. GGS Pradeep, PhD

Mohamad El Dassouki, MD Department of Neurology, LAU Medical Center – Rizk Hospital

Pooya Jalali Department of Medicine, Islamic Azad University Tabriz Branch

Ashraf Talaat Youssef, Department of Radiology, Fayoum University

Department of Radiology, Fayoum University

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Önder Pekcan, Department of Bioinformatics and Genetics, Kadir Has University

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Ziyang Wu, Department of Cardiology

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Ahmed Eesa El-Shabasy, Department of Biology, Jazan University

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Pooja Ajitsankardas, Department of Periodontics, UTHSC College of Dentistry

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Saloua Sahbani, Department of Nursing

Luigi Pasini, Advanced Cellular Therapies and Rare Tumors Unit

Josette Saltikov, School of Health, University of Teesside

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Tauheed Fareed, Department of Urology, Mayo Clinic

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Hussein Nasser Shaman, Joint Centers of Excellence, King Abdulaziz City for Science and Technology (KACST)

Majid EL Kassaoui, College of Computing, Mohammed VI Polytechnic University

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AI-Driven Diagnostic and Medical Case Reports

AI-Driven Diagnostic and Medical Case Reports An International Open-Access Journal is a peer-reviewed, international open-access journal dedicated to publishing high-quality medical case reports and case series that highlight the application, evaluation, and impact of artificial intelligence (AI) and machine learning technologies in clinical diagnosis and patient care.
The journal serves as a global platform for clinicians, researchers, and healthcare innovators to share real-world clinical experiences that demonstrate how AI-driven tools influence diagnostic decision-making, improve accuracy, reveal limitations, or raise important ethical and safety considerations.
By focusing on clinically grounded case reports, the journal aims to translate advances in artificial intelligence into practical knowledge that informs evidence-based medical practice.


Editorial Board