AI in mental health and support applications
Why it matters: AI in mental health and support applications improve access, deliver personalized care, and innovate mental health solutions.
Sanksshep Mahendra
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Reducing hospital readmissions using predictive models
Why it matters: Reducing hospital readmissions using predictive models improves patient care, cuts costs, and optimizes healthcare systems.
Electronic health records (EHR) management with AI
Why it matters: Electronic health records (EHR) management with AI is shaping the healthcare industry by improving efficiency, accuracy, and security.
AI in patient triage and ER efficiency
Why it matters: AI in patient triage and ER efficiency transforms emergency care by reducing wait times, enhancing outcomes, and saving lives.
Wearables and AI in real-time health tracking
Why it matters: Explore how Wearables and AI in real-time health tracking revolutionize personalized care, insights, and proactive health.
AI’s role in public health data analysis
Why it matters: Discover and learn AI’s role in public health data analysis, disease surveillance, and global health strategies.
Virtual health assistants and telemedicine
Why it matters: Discover how virtual health assistants and telemedicine revolutionize healthcare with AI, remote care, and future trends.
Ethical concerns in AI healthcare applications
Why it matters: Explore ethical concerns in AI healthcare applications, focusing on privacy, bias, transparency, and accountability.
FDA approval and regulation of AI healthcare tools
Why it matters: FDA approval and regulation of AI healthcare tools shape innovation, safety, and adoption in modern medical technology.
AI in rehabilitation and physical therapy
Why it matters: AI in rehabilitation and physical therapy is transforming recovery with personalized plans, better outcomes, and innovation.