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Having studied medicine, I’ve always been fascinated by the intersection between clinical practice and technology. My medical background gave me a deep appreciation for how communication, accuracy, and time management directly influence patient outcomes. When I began exploring generative AI tools, I quickly realized how transformative they could be for healthcare if applied responsibly.

My first encounters with AI in healthcare were experimental: testing language models, generating patient summaries, and exploring how speech recognition could capture clinical conversations. It quickly became clear to me that generative AI could do more than just automate tasks; it could support the way healthcare professionals think, document, and communicate. Imagine having an assistant that can structure notes, translate conversations in real time, or help summarize a complex consultation without losing nuance, these are not distant possibilities anymore. It even made me start my own company: Wellcom Health.

At the same time, my experience in this business has made me acutely aware of the risks associated with relying on AI in healthcare. Unlike other industries, mistakes here can have direct consequences for people’s health. Generative models are impressive but not infallible; they can misinterpret or fabricate information. That is why I believe that accuracy, transparency, and human supervision must remain at the core of every AI-driven healthcare solution.

Exploring frameworks like Retrieval-Augmented Generation (RAG) has shown me a promising way forward. By grounding AI outputs in verified medical data, we can significantly reduce the risk of misinformation while still benefiting from the model’s generative capabilities. This balance between innovation and reliability will define the success of AI in healthcare.

Ultimately, my journey with generative AI has reinforced a belief I already held from my medical studies: technology should never replace human judgment or empathy. Instead, it should empower healthcare professionals to work more efficiently, communicate more effectively, and focus more deeply on what matters most, the patient.

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Earlier this month, Hollywood introduced its first AI-generated actress: Tilly Norwood. She looks like any Hollywood performer: photogenic and confident, but Tilly isn’t real. She was created by Particle6, a London-based production company founded by Dutch producer Eline van der Velden, as an experiment in what the studio calls “synthetic performance.”

The idea behind Tilly is to explore how artificial intelligence could support creative industries rather than replace them. But that argument hasn’t convinced everyone. The American actors’ union SAG-AFTRA strongly criticized this project, warning that AI performers could threaten both artistic integrity and employment in the film industry. Their main concern is how these systems are trained, often using recordings of real actors who never consented to being digitally replicated.

Beyond this issue, Tilly’s debut raises a deeper question about creativity itself. Acting has always been rooted in human experience: how people express emotion, respond to others, and turn lived moments into art. Acting can become so iconic (like Titanic ”I am flying” bow-scene), that they become art itself. An AI model can maybe imitate the structure of such a performance, but it doesn’t understand why a scene is moving or what a gesture means. It follows patterns; it doesn’t feel them or understand what a human sees when actors perform.

At the same time, I don’t think AI-generated performers should be dismissed entirely. Every technological shift in film, from sound to CGI, was met with fear before it became standard practice. Tilly might end up being a useful tool like CGI, but only if we stay clear about where technology ends and human expression begins. We almost always understand this when CGI is used as humans.

The experiment forces us to ask what we actually value in performance: efficiency or empathy, precision or presence. As the line between real and artificial continues to blur, the challenge will be keeping storytelling grounded in something that still feels human.

What do you think about Tilly Norwood, can she become the next Hollywood actress?