Applications of AI and Robotics in Healthcare

Dear Colleagues,

Artificial intelligence (AI) and robotics are transforming healthcare by enhancing clinical accuracy, efficiency, and patient outcomes. AI-powered diagnostic systems can analyze medical images, laboratory data, and electronic health records to detect diseases earlier and more precisely than traditional methods. These tools assist clinicians in identifying conditions such as cancer, cardiovascular disease, and neurological disorders, often flagging subtle patterns that humans may overlook.

In treatment planning, AI supports personalized medicine by predicting how individual patients will respond to specific therapies, enabling more targeted and effective care. Robotics plays a major role in surgical settings, where robotic-assisted systems provide greater precision, stability, and minimally invasive techniques. These advances reduce surgical complications, shorten hospital stays, and improve recovery times. In rehabilitation, robotic exoskeletons and assistive devices help patients regain mobility after injuries or strokes.

AI-powered virtual assistants and chatbots enhance patient engagement by offering symptom triage, medication reminders, and remote monitoring. Combined with wearable devices, AI enables continuous health tracking and early detection of deterioration in chronic conditions. Overall, the integration of AI and robotics is reshaping healthcare delivery, making it more proactive, precise, and patient-centered.

Recommended topics include, but are not limited to, the following:

• AI-driven early disease detection using multimodal data (imaging, genomics, EHRs);
• Robotic-assisted minimally invasive surgery with autonomous or semi-autonomous capabilities;
• AI for personalized treatment planning in oncology, cardiology, and rare diseases;
• Robotic exoskeletons for rehabilitation, including adaptive control based on patient progress;
• Medical imaging enhancement using generative AI for noise reduction, reconstruction, and segmentation;
• Human–robot interaction in clinical environments, focusing on safety, trust, and workflow integration;
• AI-powered remote patient monitoring using wearables and predictive analytics for early intervention;
• Autonomous hospital logistics robots for supply delivery, disinfection, and patient transport;
• Ethical and regulatory frameworks for deploying AI and robotics in high-risk healthcare settings;
• AI-enabled robotic companions for elder care, mental-health support, and long-term home assistance.

Dr. Denis Reilly
Guest Editor

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