Published Paper Details:

Generative AI transforms healthcare by enhancing medical imaging, accelerating drug discovery, and enabling personalized medicine. Challenges include ethics, biases, and interpretability. Future directions involve customized models and regulatory frameworks. Responsible adoption is crucial for realizing generative AI's potential. In the realm of medical imaging, generative AI reconstructs high-resolution images from low-quality scans, aiding radiologists in precise diagnoses. Additionally, it synthesizes realistic images of organs and tissues, providing valuable visual information. Personalized medicine optimization involves analyzing patient data to tailor interventions. Disease progression prediction and individualized drug dosages improve patient outcomes. While generative AI holds immense promise, addressing ethical concerns, mitigating biases, and ensuring interpretability is essential. Collaborative efforts and thoughtful regulation will drive responsible adoption and transformative impact in healthcare.