A brief on artificial intelligence in medicine
This review explores the transformative impact of artificial intelligence (AI) in medicine. It discusses the benefits of AI, its core technologies, integration processes, and diverse applications. AI enhances diagnostics, personalizes treatments, and optimizes healthcare operations. Machine learning and deep learning are key AI technologies, while explainable AI ensures transparency. The review emphasizes the integration journey and highlights AI applications, from image diagnosis to telemedicine. Ethical concerns, data privacy, regulations, and algorithmic bias are challenges. The future promises continued innovation, global health equity, and responsible AI application in medicine.
Authors
- Nabila Ounasser (ORCID: https://orcid.org/0000-0002-3934-0489)
- Mounia Mikram (ORCID: https://orcid.org/0000-0002-6647-5098)
- Maryem Rhanoui (ORCID: https://orcid.org/0000-0002-0147-8466)
- Bouchra El Asri (ORCID: https://orcid.org/0000-0001-8502-4623)
Institutions
- Mohammed V University (MA)
- Université de Lyon (FR)
- Parcours santé systémique (FR)
Publication Details
- Journal
- International Journal of Advances in Applied Sciences
- Published
- 2024-10-17
- DOI
- https://doi.org/10.11591/ijaas.v13.i4.pp1055-1064
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.24