AI Will Replace 50% Doctors by 2035! | AI in Medicine, Passive Income Ideas, NEET PG | Dr. Datta скачать в хорошем качестве

AI Will Replace 50% Doctors by 2035! | AI in Medicine, Passive Income Ideas, NEET PG | Dr. Datta

Guest Suggestion Form: https://forms.gle/tbwi5MfmkwkTBMv49 In this episode of The Nachiket Bhatia Show, we have Dr. Suvrankar Datta in conversation with Dr. Nachiket Bhatia. Dr. Suvrankar Datta is a Radiologist and AI researcher, passionate about building Responsible AI for Healthcare. A Gold Medalist from JIPMER and MD Radiology graduate from AIIMS Delhi, he focuses on agentic frameworks, multimodal models for diagnosis, and bias mitigation in AI. He has collaborated with top institutes like Harvard, Stanford, NUS, IITs, and Rutgers. A winner of the MIT COVID Challenge and IIGP, he's also a 30 Under 30 Young Changemaker and a trusted advisor to HealthTech startups and investors. To know more about Dr. Suvrankar Datta: ✅LinkedIn: https://www.linkedin.com/in/suvrankar... ✅X: https://x.com/DrDatta_AIIMS —----------------------------- In this episode, Dr. Suvrankar Datta shares how he moved from a busy radiology schedule to hands-on AI research, why AIIMS Delhi gives doctors a head-start in tech, and how blending healthcare with AI can save lives. He offers a friendly “AI 101” guide for first-year MBBS students and a clear five-step learning roadmap that turns any medic into an AI problem-solver. These insights make tough ideas feel easy and prove that healthcare AI is far more than a buzzword. We also discuss: Dr. Datta shows simple AI tools every medical student can try today, explains where AI already fits inside the medical curriculum, and names the five specialties that gain the biggest boost from AI: radiology, pathology, dermatology, ophthalmology, and cardiology. He describes brand-new hospital jobs such as clinical prompt engineer and reveals the widening pay gap between AI-savvy and AI-silent radiologists. AI 101 for first-year MBBS students Five-step AI learning roadmap for medicos Basic AI tools for medical students Top resources to learn healthcare AI Five specialties benefiting most from AI New hospital roles created by AI Additionally, Dr. Datta talked about must-have AI tools that can run in any clinic, no-code platforms that let med-preneurs build apps fast, and the legal risks doctors face when they lean on algorithms. He explores whether machines can genuinely show empathy and rates the hottest clinician-focused AI tools so listeners know what works and what is just hype. Furthermore, he shares the best free and paid resources to learn healthcare AI, explains how to spot and fix hidden bias in medical data, and highlights his global research collaborations with Harvard, Stanford, NUS, IITs, and more. A must-watch for every medical student, resident, or doctor who wants to stay ahead in the age of healthcare AI and secure a future-proof career. —----------------------------- About the host: Dr. Nachiket Bhatia is an angel investor, 3x TEDx speaker, and motivational speaker. He was featured in TIMES 40 Under 40 and recognised by Forbes as a Top 10 Most Innovative CEO in 2020. He also supports startups through investments. Follow Dr. Nachiket Bhatia: ✅Instagram:   / dr.nachiketbhatia   ✅LinkedIn:   / dr-nachiket-bhatia   ✅X: https://x.com/bhatia_nachiket?s=11 —----------------------------- 00:00 - Trailer 01:00 - Introduction 03:00 - Transition from clinician to AI researcher 06:04 - What makes AIIMS special 08:19 - Healthcare-AI integration 09:38 - AI 101 for first-year MBBS students 11:22 - Five-step AI learning roadmap for medicos 15:11 - Basic AI tools for medical students 20:37 - AI in the medical curriculum 21:27 - Top resources to learn healthcare AI 22:44 - Five specialties benefiting most from AI 24:29 - New hospital roles created by AI 26:03 - Will AI replace radiologists? 29:50 - AI-enabled vs non-AI radiologist salary gaps 30:26 - Pathway into medical-AI prompt engineering 34:30 - Advice for a NEET-PG Rank 1 36:12 - AI’s impact on medical residency seats 38:56 - Specialties least affected by AI 41:00 - Must-have AI tools for clinics 45:07 - No-code AI platforms for med-preneurs 46:19 - Liability when doctors rely on AI 47:47 - AI’s capacity for empathy 49:34 - Rating AI tools for clinicians 50:42 - Rapid-fire