The Evolution of Artificial Intelligence in Healthcare

Mario Cannataro is a Full Professor of Computer Engineering and Bioinformatics at University “Magna Graecia” of Catanzaro, Italy. He is the director of the Data Analytics research center and the chair of the Bioinformatics Laboratory. His current research interests include bioinformatics, medical informatics, artificial intelligence, sentiment analysis, data analytics, parallel and distributed computing. He is a member of the editorial boards of Briefings in Bioinformatics and IEEE/ACM Transactions on Computational Biology and Bioinformatics. He was guest editor of several special issues on bioinformatics and health informatics and organized several bioinformatics workshops in conjunction with ACM-BCB and IEEE-BIBM conferences. He has published three books and more than 300 papers in international journals and conference proceedings. Prof. Cannataro is a member of the Ethical Committee of the Calabria Region and a senior member of ACM, IEEE and SIBIM, He is currently a member of the steering committee of the Italian Bioinformatics Society (BITS) and of the Italian Association for Telemedicine and Medical Informatics (AITIM).

• Part I. Artificial Intelligence. basic concepts and definitions1. Machine Learning and Deep Learning2. Artificial Neural Networks3. Data Mining and Data SciencePart II. Artificial Intelligence. deep learning and generative AI4. Transformers5. Bidirectional Encoder Representations from Transformers (BERT)6. Generative AI, Large Language Models7. GPT. Generative Pre-trained Transformers8. BARDPart III. Artificial Intelligence in Biomedical Research9. Bioinformatics methods and AI.10. Network Science methods and AI11. AI for investigating the molecular basis of diseases.12. AI and Drug RepurposingPart IV. Artificial Intelligence in Clinical Practice13. AI based analysis of biosignals14. AI-based analysis of bioimages15. AI-based analysis of Medical Reports and Electronic Health Records16. AI in surgery17. AI in oncologyPart V. Artificial Intelligence in Public Health18. One-Health AI19. Virus diffusion prevention and managementPart VI. 20. Opportunities and Risks of Generative AI (GPT) in Medicine21. Bias22. Clinician and Dataset Shift23. Explainability and Black Box models24. Privacy and Security25. Legal and ethical aspects26. Integrating human and AI knowledge