Current and Future Perspectives of Artificial Intelligence in Medicine

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 128

Special Issue Editors

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Guest Editor
Unit of Maxillofacial Surgery, Marche University Hospital—Umberto I, Ancona, Italy
Interests: craniofacial surgery; cleft lip and palate; orbit; facial trauma and surgery; facial fracture; cancer; stem cell; oncology; reconstructive surgery; microsurgery; tumor resection; squamous cell carcinoma; malformation; rare disease; craniofacial malformation; new technologies; CAD-CAM; genetics; oral surgery
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Maxillofacial Surgery, University of Siena, Siena, Italy
Interests: reconstructive and cranio-maxillofacial surgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) holds the potential to revolutionize healthcare across all medical domains, marking a pivotal moment for the field of medicine. Traditionally, medical specialties have relied heavily on human interaction and innovation, but physicians are now adapting to incorporate AI as a valuable tool in patient care. AI brings the promise of ensuring patient safety, enhancing autonomy, and providing timely medical assistance, especially in remote areas, while simultaneously reducing the administrative workload, screen time, and the risk of professional burnout for healthcare providers. Moreover, AI has the capability of decreasing medical errors and enhancing diagnostic precision by leveraging algorithms and software to integrate, analyze, and interpret vast amounts of medical data. By automating repetitive tasks, AI can afford healthcare personnel more time to focus on building stronger doctor–patient relationships, emphasizing personalized care, communication, empathy, and trust during times of illness—essential aspects of care that cannot be replaced by AI. However, there remains a need to standardize research in this field to ensure the quality of scientific evidence, understand its benefits and drawbacks, and expedite its integration into mainstream medical practices.

Dr. Giuseppe Consorti
Dr. Lisa Catarzi
Dr. Guido Gabriele
Guest Editors

Manuscript Submission Information

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  • artificial intelligence
  • machine learning
  • deep learning
  • medical practices
  • artificial neural network
  • computational health informatics
  • predictive analytics in healthcare
  • ethics in AI for medical applications

Published Papers

This special issue is now open for submission.
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