Artificial Intelligence for Medicine

1. Artificial intelligence in cancer research and precision medicine<br>2. Machine learning in computational pathology through self-supervised learning and vision transformers<br>3. Artificial intelligence in small-molecule drug delivery<br>4. AI/ML and drug repurposing in lung cancer: State of the art and potential roles for retinoids<br>5. Artificial intelligence and digital worlds: New frontiers of integration between AI and other technological tools<br>6. The dual path of the technology acceptance model: An application of machine learning cardiotocography in delivery rooms<br>7. Artificial intelligence in diagnostic and predictive pathology<br>8. Artificial intelligence in the oncology workflow: Applications, limitations, and future perspectives<br>9. SOK: Application of machine learning models in child and youth mental health decision-making<br>10. Cancer detection in hyperspectral imagery using artificial intelligence: Current trends and future directions<br>11. Global research trends of Artificial Intelligence and Machine Learning applied in medicine: A bibliometric analysis (2012–2022)<br>12. Ethics and regulations for AI in radiology<br>13. The role of artificial intelligence in radiology and interventional oncology<br>14. The multiomics revolution in the era of deep learning: Allies or enemies?<br>15. Artificial intelligence in behavioral health economics: Considerations for designing behavioral studies<br>16. Artificial intelligence and medicine: A psychological perspective on AI implementation in healthcare context<br>17. AI for outcome prediction in Radiation Oncology: The present and the future<br>18. Artificial intelligence in neurologic disease<br>19. Should I trust this model? Explainability and the black box of artificial intelligence in medicine