Digital Pathology and AI in Cancer Diagnosis | Insights and Clinical Impact | NXT Health Commune скачать в хорошем качестве

Digital Pathology and AI in Cancer Diagnosis | Insights and Clinical Impact | NXT Health Commune

In this episode of NXT Health Commune, Dr. Smita Karpate, MD, Founder and Host, engages in a detailed, evidence-driven conversation with Dr. Akash Parvatikar, AI Scientist and PathologyMap Product Manager at HistoWiz, exploring the transformative potential of digital pathology and AI in modern healthcare. The discussion moves beyond technological hype to examine what digital pathology truly delivers: faster, more accurate, and scalable diagnostic workflows, particularly in oncology and histopathology. From digitised tissue slides and AI-assisted analysis to explainable models and regulatory considerations, the episode provides a rare insider view of how advanced pathology solutions are developed, validated, and implemented across healthcare systems. The conversation also addresses strategic challenges faced by hospitals, laboratories, and health tech startups: integrating AI into existing workflows, maintaining clinical accuracy, ensuring patient data security, and building trust among clinicians while scaling technology solutions globally. Topics discussed include: Introduction to digital pathology and slide digitisation Role of AI in assisting pathologists and improving diagnostic accuracy Explainable AI (XAI) and building trust in AI systems Benefits of digital pathology for oncologists and patient care Implementation challenges and opportunities for India, including infrastructure, training, and local validation Timestamps: 00:00 - Dr. Smita Karpate X Dr. Akash Parvatikar Introduction 02:13 – Understanding Digital Pathology: Definition and Core Concepts 03:56 – The Evolution of Digital Pathology: When and How It Began 06:35 – The Need for Digitalisation in Pathology 08:21 – Histopathology in India vs. Global Practices 12:49 – The Role of AI in Supporting Pathologists 15:08 – Implementing Digital Pathology in Oncology Practice 17:50 – Regulatory Requirements for AI Models in Cancer Diagnosis 19:30 – Training Requirements for Digitising a Hospital Pathology Lab 22:32 – What is Explainable AI (XAI)? 26:00 – Accountability in Cases of Delayed or Misdiagnosis 28:55 – Strategic Roadmap for Implementing Digital Pathology in India 33:29 – Importing Existing Solutions vs. Building Indigenous Platforms 36:17 – Key Considerations Before Adopting Digital Pathology 39:06 – The Future Role of Pathologists in a Digital Era 40:26 – Advice for Indian Clinicians and Healthcare Innovators 44:58 - Conclusion and Thank you Subscribe to NXT Health Commune for founder stories, clinical insights, and global health innovation. Connect with us on: LinkedIn:   / nxt-health-commune   Instagram:   / nxthealthcommune   Hashtags: #DigitalPathology #AIinHealthcare #ExplainableAI #CancerDiagnosis #Telepathology #Histology #MedicalAI #HealthcareInnovation #NXTHealthCommune #ClinicalDiagnostics #Histovis