Journal of Neonatal Surgery ISSN(Online): 2226-0439 Vol. 14, Issue 4s (2025) https://www.jneonatalsurg.com pg. 511 Journal of Neonatal Surgery | Year: 2025 | Volume: 14 | Issue: 4s Leveraging AI and Generative AI for Medical Device Innovation: Enhancing Custom Product Development and Patient Specific Solutions Sai Teja Nuka 1 1 Sustaining Mechanical Engineer, Email ID: saitejaanuka@gmail.com, ORCID ID: 0009-0006-6549-9780 00Cite this paper as: Sai Teja Nuka, (2025) Leveraging AI and Generative AI for Medical Device Innovation: Enhancing Custom Product Development and Patient Specific Solutions. Journal of Neonatal Surgery, 14 (4s), 511-522. ABSTRACT The integration of artificial intelligence (AI) into CAD platforms will dramatically influence the way medical devices are designed, produced, and evaluated. It will allow the creation of intelligent customization platforms for perfect natural device design, dealing with patient-specific compatibility, function, and intraoperative customization. Similar trends occurred for 3D printing and have led to the democratization of an exciting innovation. AI tools are essential to facilitate the design’s performance evaluation of these complex 4D concepts, made of a new generation of advanced soft active materials, actuators, and novel bioprinting strategies. Advanced machine learning will be used to improve predictive generative platforms' biomechanical bio-operation and bio-integration simulation, leading to the design of a novel generation of temporary sophisticated 4D custom-printed objects. Examples of these new advanced bioprinted smart active materials’ future patient - specific applications will be given for drug-printed biodegradable temporary medical devices, passively adaptive volumetric intravascular devices, and internally actuated endovascular complex were driven objects. AI transforming medical practices, doctors, health providers, or hospitals were where patients head to receive various treatments. AI is in the process of becoming omnipresent, perceiving the patient’s symptoms and medical history and providing a proper diagnosis. In the long run, this may lead to a paradigm shift where instead of reaching out to the medical devices, the medical devices will be sent to the necessary places where the patients/people live, study, work, and relax. Therefore, increasing attention is placed on wearable or ubiquitous medical technologies exploiting generative AI tools, providing the shift from passive monitoring to active patient custom home care. Examples of how generative AI fueled the new medical devices from their idea generation and development to the next real-world applications are given as easily customizable ultrathin epidermal sensory patch, pocket essential skin care devices, and customized comfort shoe inserts. Keywords: Artificial intelligence, generative AI, custom, custom products, customization, medical devices, patient specific, innovation, medical, devices, generative, product, specific, solution, solutions, development, patient, products, enhancing, innovation, leveraging, human, like, product developments, custom product, enhancing product, spinoff, different aspects, natural human, broadens, economically 1. INTRODUCTION The advent of Artificial Intelligence (AI) is enacting a profound dislocation in the landscape of virtually all industries and daily life, occupying an escalating position over the extended period. Via sector-specific applications, such as predictive maintenance in industry or preventive healthcare mainly based on data from wearable technology and social media analytics, AI is proliferating across a myriad of sectors unforeseen a few years ago. Renewed hardware advancement and increased computational efficiency widen the spectrum of possibilities by empowering the execution of more complex algorithms at an advancing pace. Generative AI, a subdivision of AI fundamentally leveraging neural networks, particularly benefits as the broadened computational resources facilitate model design and training for increasingly elaborate tasks and applications. Healthcare is one foremost sector influenced profoundly by this multifaceted revolution of AI. Customized prostheses, at a glance, conjure the rather archaic image of crafted limb replacement versus hand-crafted wooden leg meticulously realized via carpentry. The contemporary set of custom prostheses is unwaveringly more sophisticated than a 16th-century design and crafted from composite plastics, metal alloys, and rubber materials, clearly superior in many performance aspects. The origins of fabricated prostheses essentially reach 20th-century back and developments have been substantial since. Computational-aided design (CAD), computational-aided manufacturing (CAM), non-invasive three-dimensional scanning of relevant anatomical parts, and image-based meshing software programs are utilized to complete patient-specific customized devices like complex hip replacements, cranial implants, or intrauterine contraceptive devices (IUDs) routinely performed in contemporary settings. AI algorithms currently enrich these processes, enhancing numerous steps from