Background:
WHO notes a slowdown in key areas, highlighting underinvestment in primary healthcare and a projected global shortfall of 11 million health workers by 2030. Additionally, climate change is anticipated to undermine decades of health gains by impacting health infrastructure and exacerbating health risks.
Opportunity
The healthcare services market size is forecast to increase by USD 6.26 trillion, at a CAGR of 8.73% between 2023 and 2028. Further, manpower shortage and new health challenges can be effectively tackled with the Gen AI. AI can automate tasks such as patient CRM, projecting and finding solutions to complex/new diseases and enhancing healthcare practices.
AI role as game-changer
Gen AI and the automation on healthcare processes can be applied to solve and transform multiple things in healthcare workflows. The integration of AI, particularly through machine learning (ML) and deep learning, has yielded compelling applications that promise to improve patient outcomes and alleviate the burdens on healthcare providers. AI supervised by experts is the way to transform healthcare.
- Patient (personalized treatment) and Diagnostics
AI can effectively analyse the complete patient data and highlight important patterns to aid in patient care and research. AI analysing data including report images, n-scale data points result in to consistent and more accurate results than only manual approach.
- Radiology: AI algorithms are trained on vast datasets of X-rays, MRIs, and CT scans to automatically detect subtle anomalies. This helps in the early and more accurate detection of conditions like cancer, pneumonia, and neurological disorders, flagging high-probability areas for human radiologists to review.
- Pathology and Dermatology: Deep learning is used to analyze digital slides of tissue samples and images of skin lesions, assisting pathologists and dermatologists in classifying diseases, including identifying cancerous cells.
- Ophthalmology: AI tools can analyze retinal images to detect early signs of diabetic retinopathy and other eye conditions, crucial for timely intervention.
2. Surgery and Robotics
AI is increasing the precision and safety of surgical procedures.
- Robot-Assisted Surgery: AI-powered robotic systems assist surgeons by providing enhanced dexterity, better visualization, and real-time guidance during minimally invasive procedures. This can lead to smaller incisions, reduced complications, and faster patient recovery.
- Surgical Planning: AI can analyze pre-operative images to create highly accurate 3D models of a patient’s anatomy, allowing surgeons to plan complex procedures with greater precision.
3. Patient CRM and Administration
Virtual Assistants and Chatbots: AI-powered chatbots and virtual health assistants provide 24/7 patient support, answering common health questions, helping with appointment booking, providing medication reminders, and offering initial symptom assessment (triage).
Workflow Automation: AI automates routine, time-consuming administrative tasks like patient scheduling, billing, claims processing, and managing electronic health records (EHRs). This reduces burnout and allows medical staff to dedicate more time to direct patient care.4.
4. Drug Discovery
Drug Development: AI significantly accelerates the drug discovery process by simulating molecular interactions, predicting the efficacy and toxicity of potential drug candidates, and identifying optimal molecules for synthesis. This drastically cuts down on the time and cost traditionally associated with bringing new therapies to market.
(Last updated: 4/Oct/2025)
