Advancements in artificial intelligence and digital technologies are transforming diagnostics and patient management. Mount Sinai researchers developed AI models predicting hospital admissions earlier to optimize emergency care workflow. AI-powered cervical precancer screening leverages compact microscopes for resource-limited settings. Deep learning reconstructs 3D ultrasound imaging, enhancing diagnostic precision. Meanwhile, AI chatbots raise concerns over disseminating false medical information despite their potential to reduce clinician burden. These innovations exemplify the complex balance between AI’s promise and the need for validation in healthcare.