Poging GOUD - Vrij
A revolution in diagnostics and personalized patient care
PCQuest
|September, 2023
Al, encompassing machine learning, neural networks, computer vision, and more, is facilitating a paradigm shift in healthcare. Automation, driven by Al, accelerates diagnoses, freeing valuable time for medical professionals. Al-driven recommendations optimize work scheduling, enhancing patient care and staffing efficiency
Artificial Intelligence (AI) has taken center stage in Indian healthcare, reshaping diagnostics and personalized patient care. Al has seen its greatest use case in the preventive healthcare space with research currently led by large multinational firms such as GSK, Siemens, Johnson & Johnson, etc. Let's understand the profound impact of Al on the healthcare landscape in India.
▾ Al in Preventive Healthcare
Al's most significant role in Indian healthcare currently lies in preventive medicine, with major multinational firms like GSK, Siemens, and Johnson & Johnson leading the charge. Indian startups are rapidly catching up in this transformative space. According to a World Economic Forum report, the Al in Healthcare market in India is set to grow from $15 billion in 2023 to a staggering $102 billion in 2028.
▾ Al's Multifaceted Contribution:
Al is a versatile tool that enhances various aspects of healthcare:
1. Streamlining Clinical Processes: Columbia Asia Hospitals in Bengaluru exemplify the use of Al to automate routine clinical tasks. Chatbots handle queries, bill payments, appointment scheduling, and reminders. This automation allows medical professionals to focus more on critical patient care.
Dit verhaal komt uit de September, 2023-editie van PCQuest.
Abonneer u op Magzter GOLD voor toegang tot duizenden zorgvuldig samengestelde premiumverhalen en meer dan 9000 tijdschriften en kranten.
Bent u al abonnee? Aanmelden
MEER VERHALEN VAN PCQuest
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size
