Artificial Intelligence is revolutionizing the way we conceptualize medicine and healthcare in general. The latest development in deep learning, a branch of AI, has granted physicians and medical researchers access to insights in complex medical data like never before.
From the identification of diseases in X-rays and MRIs, medical imaging, and the prediction of patient outcomes to the customization of treatments, deep learning is making healthcare faster, smarter, and more precise. However, challenges also arise that need to be considered: patient data confidentiality, the requirement of volumes of data for such systems, and explainability of the decisions made by AI to humans.
While the paper describes how deep learning is rewriting the medical world, it also provides valuable suggestions on how we can use this powerful technology responsibly to create better healthcare for all. Medicine’s future is here, powered by AI.
Full text: Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, Sang-Soo Lee, From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare, Current Research in Biotechnology, Volume 7, 2024, 100164, https://doi.org/10.1016/j.crbiot.2023.100164