We are proud to announce that Dr. Visar Vela, together with an international team of co-authors, has published a comprehensive narrative review titled “Toward Artificial Intelligence in Oncology and Cardiology: A Narrative Review of Systems, Challenges, and Opportunities” in the Journal of Clinical Medicine (Vol. 14, Issue 21). (Read it here.)
This review explores how artificial intelligence (AI), including machine learning and deep learning, is transforming clinical research in oncology and cardiology. By analyzing studies published between 2019 and 2025, the authors highlight real-world applications such as AI-assisted diagnostics, biomarker discovery, and virtual clinical trials. They also discuss key challenges in achieving trustworthy, explainable, and clinically validated AI systems.
Why this matters
- ● AI has the potential to improve diagnostic accuracy, accelerate biomarker discovery, and enable earlier disease detection in both cancer and cardiovascular care
- ● The review emphasizes the need for interpretable models, robust validation, interoperable data systems, and cross-disciplinary training to ensure safe and effective AI adoption in healthcare.
- ● For the PhD Circle, this milestone strengthens our visibility in global research and reinforces our mission to connect clinical practice, digital innovation, and academic collaboration.
About the authors
The publication was led by Dr. Visar Vela (Centre Suisse de Contrôle de Qualité, Switzerland), together with Ali Yasin Sonay, Perparim Limani, Besmira Sabani, Diona Gjermeni, Andi Rroku, Arber Zela, Era Gorica, Uljad Berdica, Euxhen Hasanaj, Adisa Trnjanin, Taulant Muka, and Omer Dzemali.
Additional collaborators included Lukas Graf, Hector Rodriguez Cetina Biefer, and Cetina Biefert, who contributed valuable expertise from their respective institutions.
