How Akido Labs Runs Clinics Without Doctors — AI Healthcare Revolution or Risk? [EP253] скачать в хорошем качестве

How Akido Labs Runs Clinics Without Doctors — AI Healthcare Revolution or Risk? [EP253]

What is Akido Labs & how it began  • Founded in 2015 via USC’s Digital Health Lab, Akido was built from the ground up as both a medical system and a data/AI company.  • Its mission: make exceptional healthcare universal by embedding AI into clinical workflows and scaling provider capacity.  • In May 2025, Akido raised $60 million in Series B funding to expand its AI platform, ScopeAI, and deploy further in its clinic network. What Akido is trying to do / core concept  • Deploy “clinics” where patients may never see a doctor in person — instead, a trained medical assistant (MA) leads the visit, and AI guides the interaction, drafting proposed diagnoses and treatment plans for physician review.  • The AI module, ScopeAI, is trained on massive health data + reinforcement learning + real doctor feedback to operate across many specialties.  • In practice: the MA asks questions as prompted by the AI, the AI listens and builds a clinical record in real time, proposes a care plan (diagnoses, tests, treatments), and then the physician reviews and signs off. Early results & outcomes so far  • Reported metrics: 5× more face-to-face time with patients, 96 NPS score, and improved provider throughput.  • Akido now supports 500,000+ patients across multiple states, with 240+ providers and roughly 96 clinic locations (in its network) in specialties from primary care to complex fields.  • One street medicine initiative in Los Angeles uses AI transcription and documentation tools with outreach to homeless communities — the AI helps free doctors’ time from paperwork so they can focus on direct care in the field. Concerns & pushback from doctors / academics  • Worries about oversight and errors: AI may misdiagnose, miss subtleties, or lack explainability in treatment decisions.  • Trust & overconfidence: studies show non-experts often overtrust AI medical responses—even when they contain errors.  • Privacy, data use, bias, and equity: training data may underrepresent marginalized populations; predictions may perpetuate disparities.  • Ethical and regulatory lag: medical AI is progressing faster than government regulation or standards. Some experts call for cautious deployment. Why this could be a gamechanger (especially for underserved populations)  • Rural areas lack doctors, clinics, specialists; homeless populations face barriers in transportation, cost, continuity.  • Akido’s model can deliver care even in nontraditional settings or “mobile clinics” (e.g. serving ride‑share drivers in NYC) by bringing AI + MA teams to patients.  • In street medicine, the AI transcription + documentation tools reduce administrative burden and allow doctors to see more patients in outreach settings. What this means for the future of healthcare  • A shift from “doctor-centric” to hybrid AI‑augmented models: AI doesn’t replace doctors but augments them, allowing more scale and reach.  • Potential to ease the physician shortage crisis: U.S. needs billions more visits than current capacity allows.  • If successful, could democratize access — reducing wait times, expanding specialist reach, lowering costs.  • But deployment must be cautious: we need transparency, robust validation, regulatory guardrails, and ensure human oversight remains central. As AI continues to reshape the healthcare landscape, Akido Labs is at the forefront of this transformation — running clinics without traditional doctors. But is this the future of medicine or a risky move? In this video, we explore the AI healthcare revolution, the rise of doctorless healthcare technology, and how Akido Labs AI clinics are changing patient care in 2025. From efficiency to ethics, discover whether artificial intelligence in healthcare 2025 is a breakthrough or a threat. If you enjoyed this video, don’t forget to like 👍, comment 💬, and subscribe 🔔 for more insights into the future of AI in medicine and health innovation across the world. #AIHealthcare #AkidoLabs #FutureOfMedicine #AIHealthcare #AkidoLabs #DoctorlessClinics #FutureOfMedicine #AIinHealthcare #ArtificialIntelligence #HealthcareInnovation #DigitalHealth #AIinMedicine #HealthTech #MedicalTechnology #AIRevolution #AI2025 #FutureHealthcare #HealthStartup #MachineLearning #HealthAI #TechInMedicine #SmartHealthcare #AIHospital #DigitalTransformation #HealthRevolution #MedicalAI #AIClinic #HealthFuture #ArtificialIntelligenceInHealthcare #HealthcareAutomation #AIinHospitals #HealthCareReform #AIHealthSystem #NextGenHealthcare #AIinScience #HealthcareTechnology #VirtualDoctor #DoctorlessTechnology #AIMedical #HealthcareRobotics #Telemedicine #AIinDiagnostics #AIandEthics #AIHealthTech #MedTech #InnovationInHealthcare #AIandMedicine #HealthFutureTrends #AIHealthRevolution #DigitalMedicine #AIHealthCare2025 #ArtificialIntelligenceMedicine #AkidoAI