41 : Why AI Keeps Failing in Healthcare: And It Has Nothing to Do with the Technology

AI in dentistry isn't coming. It's already here, and the doctors who aren't paying attention are already falling behind. In this episode, Dr. Val Torres delivers an unfiltered take on why AI fails in healthcare, what happens to the dentist who ignores it, and what's at stake for every patient sitting in a dental chair right now. EPISODE OVERVIEWDr. Val Torres joins Adrian Lefler for a rapid-fire conversation that pulls no punches about the state of AI in dentistry and healthcare. Val breaks down the real reason AI adoption stalls in clinical settings (hint: it's not the technology), why the next five years will separate forward-thinking dentists from the ones who get left behind, and what unregulated AI entering the medical market actually means for patient safety. He also shares what he's bringing to the stage at the Global Medical and Dental AI Summit in London this summer, and why that kind of room offers something no podcast or blog post ever will. If you're a dentist still on the fence about AI, this one is going to challenge you. ABOUT VAL TORRES MD, MBA, FIADFEVAL TORRES is a physician, MBA, and Fellow of the International Academy of Dento-Facial Esthetics with deep expertise at the intersection of medicine, dentistry, and technology. He is a speaker at the Global Medical and Dental AI Summit in London, where he will challenge clinicians to rethink what the role of a doctor looks like in an AI-driven future. Val is known for cutting through the hype and speaking plainly about the business model problems that slow AI adoption in healthcare. COMPANIES AND RESOURCES MENTIONEDChatGPT by OpenAI https://chat.openai.comGlobal Medical and Dental AI Summit (London): https://top100doc.com/london/Healthcare Workforce projections: https://bhw.hrsa.gov/data-research/projecting-health-workforce-supply-demandMy Social Practice: www.mysocialpractice.com ADDITIONAL EDUCATIONhttps://mysocialpractice.com/2026/03/authentic-marketing-for-dentists/https://mysocialpractice.com/2026/03/ai-search-tools-global-volume/https://mysocialpractice.com/2026/02/chatgpt-dental-content/ CONTACT INFOGuest: Dr. Val Torres MD, MBA, FIADFE LinkedIn: https://www.linkedin.com/in/drvaltorres/Host: Dental Marketing Expert Adrian Lefler Website: https://mysocialpractice.com/dental-marketing-expert/Phone: 877-316-7516 👍 Subscribe for more on dental marketing, AI in dentistry, and practice growth. #DentalAI #AIInDentistry #ArtificialIntelligence #DentalPracticeGrowth #DentistryInnovation #DentalTechnology #DentalMarketing TERMS & TRANSLATIONS (For Show Notes)AI Adoption The process of integrating artificial intelligence tools into a dental practice. In dentistry, this includes AI for X-ray analysis, treatment planning, scheduling, or patient communication.Broken Incentive Model A healthcare structure where providers are paid for treating problems rather than preventing them. Val identifies this as the real reason AI stalls in healthcare. If AI reduces procedures needed, it can threaten revenue.False Confidence at Scale When a clinician over-relies on AI recommendations because they have been accurate in the past, leading to missed diagnoses. In dentistry, this might mean trusting an AI X-ray reading without independent clinical judgment.AI Governance in Healthcare The regulatory frameworks (or lack thereof) that determine which AI products can enter the dental and medical market. No single governing body currently monitors all AI software entering clinical settings, creating real patient safety questions for providers.ChatGPT Prompting Writing specific, intentional instructions to ChatGPT to shape the tone and angle of its response. Val mentions using prompts designed to produce provocative, direct output. For dental practices, strong prompting separates useful AI content from generic filler.Early Pathology Detection Identifying disease or decay at its earliest stage before it becomes a larger problem. Val references AI misreading an X-ray and missing early pathology as a key patient safety risk. In dentistry, this could mean a delayed diagnosis of caries, bone loss, or a suspicious lesion.Relevance Risk for Dentists The professional risk of becoming outdated not by losing a license but by losing patient trust. Val argues that within five years, patients will actively choose providers who use AI over those who do not, the same way patients today expect digital records and online booking.Large Language Model (LLM) The AI technology behind tools like ChatGPT and Gemini. It generates text by predicting what words and ideas follow a given prompt. Dental teams use LLMs to draft patient communications, social posts, and content. These tools produce probabilistic responses, not verified clinical facts.