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Here’s How Computer Vision is Transforming Healthcare

The scope of application of AI-driven technologies in Healthcare is increasing. It seems we are approaching a world where our connected devices tell us when we need to visit our doctor because they have detected symptoms that might be concerning. An explosion of data and computer vision technology has extended a helping hand to medical professionals in decision-making.

As per a report by Verified Market Research, computer vision in Healthcare Market was valued at USD 229.58 Million in 2018 and is projected to reach USD 5317.75 million by 2026, growing at a CAGR of 48.13% from 2019 to 2026.

Computer vision has been around for several decades, but it has recently become a hot topic in the healthcare industry. With the help of computer vision technology, medical practitioners are now able to deliver greater accuracy when it comes to diagnostic procedures, and they can even take care of patients remotely through Conversational AI bots and virtual assistants. This aids the healthcare workers and medical professionals to focus on important tasks that need human intervention as certain processes can be automated through these virtual assistants.

Applications Of Computer Vision in Medicine

Computer vision has drastically changed how doctors practice their art. From new technology that provides quicker diagnoses to wearables that continuously monitor vital signs and send out alerts if something is off—computer vision helps healthcare organizations provide better care delivery. Here is how computer vision can help augment healthcare services.

Cancer Detection

Early detection of cancer is significantly important for improving cure rates and survival rates. Traditional methods of diagnosing are largely inaccurate, however, there has been a recent upsurge in using computer vision to diagnose cancers such as skin, breast, ovarian, and prostate cancers. Computer Vision helps in carrying out in-depth analysis and early detection of grave diseases like cancer.

PathomIQ Inc. an AI-enabled computational analysis platform, wanted to enhance its Image processing techniques to allow earlier detection of abnormalities and treatment monitoring. Mantra Labs built and trained AI models on relevant medical data to find specific malignancy patterns that helped them in the detection of high-grade cancer cells.

Surgery

Today, surgeons can easily rely on medical imagery derived through cutting-edge technologies such as machine learning and computer vision for assistance during an operation. A simple task such as examining an x-ray of a broken bone when analyzed using computer vision can help improve surgical success rates by eliminating possible human errors. Further studies focus on applications of computer vision in monitoring chronic diseases, heart surgeries, and preventative care.

Dermatology

Computer vision is helping dermatologists in detecting skin cancers with high accuracy. AI algorithms can detect small abnormalities in images of skin lesions and determine which ones need biopsies. This helps avoid invasive procedures on healthy people and confirm diagnoses in those who need it.

According to a paper published in ScienceDirect by Umm AL-Qura University’s Department of Computer Science and Engineering, a method is offered for the dissection of skin illnesses utilizing color photographs without the requirement for medical intervention. The method had two steps, and the accuracy was remarkable at 95.99 percent for the first stage and 94.016 percent for the second stage when tested on six different forms of skin conditions.

What’s Next in Computer Vision?

There are a growing number of companies combining computer vision with AI technologies such as machine learning, natural language processing (NLP), and deep learning to develop innovative products that will transform medicine. For example, using self-driving vehicles for patient transportation. Combining computer vision with AI also means medical applications don’t need to be at medical facilities—they could be integrated into existing or future systems. Imagine simply plugging your smartphone into an algorithm designed to detect cardiovascular disease and having immediate results in real-time!

Though it comes with certain challenges such as lack of technical knowledge, hesitation to adopt AI-based technologies, the possibility of technical errors, dearth of skilled professionals, etc. However, with rapid digitization in the world, the application of these new-age technologies will grow exponentially.

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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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