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The Role of Generative AI in Healthcare

Artificial intelligence (AI) is transforming the healthcare industry in various ways, from improving diagnosis and treatment to enhancing patient experience and reducing costs. One of the most promising and innovative branches of AI is generative AI. 

Generative AI uses deep learning models, such as generative adversarial networks (GANs) or large language models (LLMs), to learn from extensive data and produce realistic and diverse outputs.

According to a report by Market.us, the global Gen-AI in healthcare market size was valued at USD 1.2 billion in 2022 and is expected to reach USD 8.9 billion by 2032, growing at a CAGR of 22.7% during the forecast period. 

Given the broad focus, this emerging technology has enormous potential to revolutionize healthcare in unprecedented ways, but it also poses some challenges and risks that need to be addressed.

What are the applications of generative AI in healthcare?

Generative AI has many potential applications in healthcare, such as:

• Data augmentation: Firms can create synthetic data that can augment the existing data and improve the performance and accuracy of other AI models. For example, creating synthetic medical images that can help train diagnostic or predictive models with more data and diversity. 

American healthcare company, CloudMedX is a computing platform that improves patient outcomes using predictive analytics. It uses AI to collect data and build holistic pictures of individuals and communities. Its single, unified data platform has operational, clinical, and financial functions, meaning healthcare providers can find everything they need in one place. 

The company’s predictive healthcare models can predict disease progression and determine the likelihoods that patients may have complications by processing medical data and providing risk assessment scores. 

• Data privacy: Using generative AI, healthcare companies can create anonymized data to protect patients’ and providers’ privacy and security. For example, synthetic patient records can be used for research or analysis without revealing actual patients’ identities or sensitive information.

• Data generation: We can create new data or content that can provide insights or solutions for healthcare problems. For example, USA-based startup Persado uses generative AI to create personalized and persuasive content for healthcare communication and engagement. Their digital solutions, Persad PerScribed and Persado Motivation AI Platform have helped healthcare companies, insurers, and retail clinics conduct effective campaigns. 

• Data enhancement: Generative AI can enhance the existing data or content by adding more details or quality. For example, the tech can help respond to patient queries better. Google DeepMind has developed MedPaLM, a large language model (LLM) trained on medical datasets that can respond to healthcare queries. 

Nuance Communications, a technology provider of advanced conversational AI for ambient clinical documentation and decision support through voice biometrics; and specialized ambient sensing hardware, leverages Open AI’s Chat GPT to enhance customer responses and manage administrative tasks. 

Data synthesis: Generative AI can synthesize different data or content types to create a comprehensive and coherent output. AI-based firm Zebra Medical Vision has developed more than 11 algorithms to help medical professionals detect diseases better. Their HealthMammo tool is trained on over 350,000 mammogram reports and detects cancer with a 92% success rate compared to 87% among radiologists.

What are the challenges and risks of generative AI in healthcare?

Generative AI is still an evolving technology that faces some challenges and risks, such as:

• Quality and reliability: Generative AI may produce inaccurate or unrealistic outputs that may mislead or harm users. For example, it may generate false medical information that may affect diagnosis or treatment decisions or generate fake medical images that may violate ethical standards.

• Regulation and governance: There may be a lack of clear rules or guidelines for its development and use in healthcare. For example, there may be questions about accountability, transparency, explainability, fairness, and safety in healthcare settings.

• Ethics and trust: Given the lack of human touch, generative AI may pose ethical and social issues that may affect the trust and acceptance of users. The digital products using it creates may generate harmful or offensive content that affects public health in a worst-case scenario.

Conclusion

Generative AI is a rapidly evolving ecosystem of tools that holds enormous promise for healthcare. It can address some healthcare challenges, such as pandemics, chronic diseases, staff shortages, and administrative burdens. However, the technology also comes with its own challenges and risks that must be carefully considered and managed. Therefore, it is essential to develop trustworthy and responsible generative AI systems that can benefit healthcare without compromising its quality and integrity.

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Sales Applications Are Disrupting More Than Just Sales

Sales success today isn’t about luck or lofty goals—it’s about having the right tools in your team’s hands, wherever they go. Following our earlier in-depth exploration of sales technology, we will now examine how cutting-edge sales apps are becoming the backbone of modern industries, transforming complex workflows into seamless, growth-driving machines.

From retail to healthcare, logistics to real estate, businesses are deploying sales applications to enhance operational transparency, cut redundant tasks, and build intelligent sales ecosystems. These tools are not only digitizing workflows—they’re driving growth, improving engagement, and redefining how field teams operate.

Lead Ecosystems: Unified visibility across channels

One app. Five workflows. Zero friction.

A leading insurance brand relaunched their app—a sleek, powerful sales companion that’s turning everyday agents into top performers.

No more paperwork. More time to sell.

Here’s what changed:

  • Every visit is tagged, tracked, and followed through. Renewals? Never missed. Leads? Fully visible.
  • Attendance and reimbursements went on autopilot. No more manual logs. No more chasing approvals.
  • New business and renewals are tracked in real time, with accurate forecasting that sales leaders can finally trust.
  • Dashboards are clean, configurable, and useful—insights that move the business, not just report on it.
  • Seamless Integrations. API connectivity with Darwin Box, IMD Master Data, and SSO authentication for a unified experience.

The result? A field team that moves faster, sells better, and works smarter.

Retail: Taking Orders from the Frontline—Smartly

Field sales agents in retail, especially FMCG, used to rely on gut instinct. Now, with intelligent sales applications:

  • AI recommends what to upsell or cross-sell based on previous order patterns
  • Real-time stock availability and credit status are visible in the app
  • Geo-fencing ensures optimized route planning
  • Built-in payment collection modules streamline transaction closure

Healthcare: Structuring Sales with Compliance and Precision

Healthcare leaders don’t need more reports—they need better visibility from the field.  Whether it’s engaging hospital networks, onboarding clinics, or enabling diagnostics at the last mile, everything needs precision, compliance, and clarity. 

Mantra Labs helped a leading healthcare enterprise design a sales app that integrates knowledge, compliance, performance, and recognition, turning frontline agents into informed, aligned, and empowered brand advocates. 

Here’s what it delivers:

  • Role-based onboarding that keeps every level of the field force aligned and accountable
  • Escalation mechanisms are built into the system, driving transparency across commissions and performance reviews
  • A centralized Knowledge Hub featuring healthcare news, service updates, and training modules to keep reps well-informed
  • Recognition modules that celebrate milestones, boost morale, and reinforce a culture of excellence

Now, the field agents aren’t just connected—they’re aligned, upskilled, and accountable.

Real Estate: From Cold Calls to Smart Conversions

For real estate agents, timing and personalization are everything. Sales applications are evolving to include:

  • Virtual site tour integration for remote buyers
  • Mortgage and EMI calculators to increase buyer confidence
  • WhatsApp-based lead capture and nurture sequences
  • CRM integration for inventory updates and automatic scheduling

Logistics: From Chaos to Control in Field Coordination

Field agents in logistics are switching from clipboards to real-time command centers on mobile. Modern sales applications offer:

  • Live delivery status and route deviation alerts
  • Automated dispute reporting and issue resolution tracking
  • Fleet coordination through integrated GPS modules
  • Customer feedback capture and SLA dashboards

What’s new & what’s next in Sales Applications?

Here’s what’s pushing the next wave of innovation:

  • Voice-to-Text Logging: Agents dictate notes while on the move.
  • AI-Powered Nudges: Apps that suggest next-best actions based on behavior.
  • Omnichannel Communication: In-app chat, WhatsApp, email—unified.
  • Role-Based Dashboards: Different data views for admins, managers, and field reps.

What does this mean for Business Leaders?

Sales Applications are not just tactical tools. They’re platforms for transformation. With the right design, integrations, and analytics, they:

  • Replace guesswork with intelligence
  • Reduce the cost of delay and manual labor
  • Improve agent accountability and transparency
  • Speed up decision-making across hierarchies

The future of field sales lies in intuitive, AI-driven applications that adapt to every industry’s nuances. At Mantra Labs, we work closely with enterprises to custom-build sales applications that align with business objectives and ground-level realities.

Conclusion: 

If your agents still rely on Excel trackers and daily call reports, it’s time to reimagine your sales operations. Let us help you bring your field operations into the future—with tools that are fast, field-tested, and built for scale.

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