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AI-Powered Cancer Diagnostics Transform Healthcare

SSO and EPIC Hospital Bring AI-Powered Cancer Diagnostics to Gujarat Patients. Qure.ai joins Hands With Hospitals

Newz Daddy Editor by Newz Daddy Editor
12 October 2025
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AI-Powered Cancer Diagnostics Transform Healthcare

AI-Powered Cancer Diagnostics Transform Healthcare

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AI-Powered Cancer Diagnostics Transform Healthcare

SSO and EPIC Hospital Bring AI-Powered Cancer Diagnostics to Gujarat Patients. Qure.ai joins Hands With Hospitals

AI-Powered Diagnostics for Cancer Care Launched by SSO Cancer Hospital in collaboration with EPIC Hospital – First of Its Kind in Gujarat

Speciality Surgical Oncology (SSO) Cancer Hospital, in partnership with EPIC Multispecialty Hospital, Ahmedabad, launched Qure.ai’s AI tool for early cancer detection, integrating it into oncology workflows to accelerate diagnosis and improve patient outcomes.

To back this up, Qure.ai is already known for its AI-Powered tools in radiology and disease screening. Their tool qXR, is used to detect lung abnormalities, nodules, and other chest issues, and has been deployed in many countries.

Left To Right Dr. Jaimin Shah, Dr Jaykumar Mehta, Dr. Sanket Mehta, Founder, SSO Cancer Hospital, Dr Tarang Patel, Dr. Bhavin Vadodariya
Left To Right Dr. Jaimin Shah, Dr Jaykumar Mehta, Dr. Sanket Mehta, Founder, SSO Cancer Hospital, Dr Tarang Patel, Dr. Bhavin Vadodariya

In fact, Qure.ai is also entering into partnerships with major medical device firms – for example, they have tied up with Johnson & Johnson Medtech to boost early lung cancer detection across India.
So SSO’s move is timely: it brings a recognised AI-Powered diagnostic tool into clinical cancer care in Gujarat.

AI-Powered Seminar on Surgical Innovations in Cancer, a first-of-its-kind event, showcased the transformative role of Artificial Intelligence (AI) and robotic-assisted surgery in revolutionising cancer care.
At such seminars, experts usually present real cases, trials, cost analyses, and future roadmaps. In India, robotic-assisted surgery in oncology is becoming more common because it offers more precise removal of cancer while sparing healthy tissue.

Globally, researchers are also combining AI-Powered, augmented reality, and robotics to guide surgeons in real time (for example, overlaying 3D paths or highlighting tissues).
So the Seminar likely gave the audience a look into both current practice and what’s around the corner.

The seminar saw some of the best cancer surgeons, technologists and hospital leaders talk about how upcoming age tools are redefining precision, safety and accessibility in cancer care – preluding the next chapter in cancer excellence in Gujarat and across.

That notion is grounded in many emerging studies. For instance, AI-Powered tools have shown good capability in detecting small lesions or nodules in chest X-rays that human readers might miss.

Also, studies of robotic surgery in cancer (e.g. robotic prostatectomy with AI assistance) indicate improved patient outcomes, better margin control, and fewer complications – though robotics + AI are considered “assistive” rather than fully autonomous.

In India, economic analyses of robotic cancer surgery show that while costs are high, many centres believe the improved outcomes and faster recovery can offset them, particularly in specialised hospitals.
ResearchGate

Thus, combining AI-Powered diagnostics and robotics is exactly the direction many leading centres are pushing.

Renowned in its high-level and tailored oncology based on the organ, SSO Cancer Hospital remains to be the cancer hospital that connects the gap between the latest technology and the caring and sense of humanity. SSO has a mission to provide affordable, yet high-quality, multidisciplinary cancer care with the aim of improving the amount of outcomes and recovery in fewer days, through AI, robotics, and minimal invasive surgery, through the use of multiple centres within Maharashtra and Gujarat.

Many cancer centres worldwide are emphasising “multidisciplinary care” (surgeons, radiologists, oncologists, pathologists working together) because that tends to lead to better planning, fewer redundant steps, and faster care.
By integrating AI tools directly into workflows, SSO is aiming to shorten the time between detection and treatment. AI helps flag suspicious images fast; then teams can act.
Also, in India, several hospitals are scaling robotic surgery and minimally invasive surgery (laparoscopy, robotic arms) to reduce hospital stays and complications.

But cost, training of staff, maintenance of devices, and equitable access (rural or low-income patients) are ongoing challenges in India’s health system.

Artificial Intelligence in Cancer Care: Image to Insights, Detection to Decision.

This line emphasises that AI can act as a translator from images (X-rays, CT, MRI) to clinical decisions. In many research papers, AI tools are being built to detect lesions, classify them (benign vs malignant), track growth over time, and suggest care pathways.

One weakness is that AI must be validated across many populations, imaging devices, and disease types – sometimes AI trained on one kind of machine doesn’t perform well on others.
Still, in cancer care, AI is proving useful, especially where human readers are overwhelmed or scarce.

The X-ray may seem normal to a human, whereas the AI raises an alarm, and the investigation and diagnosis can occur earlier. This translates to the fact that patients can now be diagnosed much earlier than in the old method, months or even years earlier, and this greatly increases the chances of survival.

That claim holds weight: studies of lung cancer in lower-resource settings show that late diagnosis is a major reason for poor outcomes.

Qure.ai itself states that its AI helps pick up small nodules on chest X-rays that might otherwise be overlooked.
PMC

In many cancers (especially lung, breast, head & neck), early detection is key to survival and treatment options.
However, clinical validation, false alarms, workflow integration, and follow-up protocols must all be strong; otherwise, early flagging may lead to unnecessary tests.
So SSO’s plan to link flagged patients immediately to surgeons, oncologists, etc., is smart – it reduces the gap between detection and action.

In SSO Cancer Hospital, Qure.ai tools based on AI have already been implemented into the diagnostic processes. These are tools that could automatically detect pulmonary nodules less than 6mm in diameter on routine chest X-rays, even after taking the X-ray for some other reasons. Upon detection, patients are immediately linked to the thoracic surgeons, pulmonologists and oncologists – bridging the detection and decision-making process, and in many cases, early and curative treatment is achievable.

To support that, in Qure.ai’s literature, the tool qXR is a deep learning model to detect nodules and abnormalities in chest X-rays.

Also, in its white paper on lung cancer in underserved populations, Qure.ai describes its AI scanning many X-rays to highlight suspicious nodules for follow-up CT or biopsy.

The important point is SSO must have a robust protocol: when AI flags, what test comes next? (CT scan? biopsy?) The immediate linkage to specialists helps ensure these flagged cases aren’t lost or delayed.

AI assists robotic technology in surgery by generating 3D visual roadmaps based on scans, assisting surgeons with precision on the millimetre level of control, safeguarding sensitive structures, and minimising risks in the operation. The outcome is reduced surgeries, reduced incisions, reduced recovery and long-term outcomes, thus a new age of surgical accuracy.

In robotic cancer surgery, surgeons often use imaging (MRI, CT, PET) to build 3D models of organs and tumours. Those models help plan safe paths, avoid blood vessels, nerves, and spare healthy tissue.
Many recent articles and research reviews highlight that robotics allows better visualisation (3D, magnified views), finer instrument control, tremor filtering, and better accuracy.

In robotic prostatectomy, AI components are being studied for tasks like instrument guidance, margin prediction, and intraoperative decision support.

Still, authors caution that robots do not yet replace the surgeon – they are tools to augment human skill.
Also, integrating AI into robotics (for instance, instrument segmentation, real-time guidance) is an active research area.

According to Dr. Sanket Mehta, Founder, Surgical Oncologist, SSO Hospitals, said, “Here, AI is a force multiplier at SSO since it is more than a technology. It improves human judgment, making us able to diagnose quickly, plan better, and perform with exceptional accuracy. Together with robotics, AI bridges between early detection and accurate intervention, two pillars that characterise the modern care of cancer.”

This quote echoes a widely accepted perspective in medical AI today: AI is not a replacement but a multiplier or assistive tool. Many oncology and radiology experts emphasise that AI augments human capabilities, helps reduce fatigue, and can flag things we might miss – but decision and treatment must remain with clinicians.
In publications on AI in cancer care, many insist on “human in the loop” models: AI flags, humans decide.
Given SSO’s adoption, they’re aligning with global best practice.

Dr. Bhavin Vadodariya, Surgical Oncologist and Head and Neck Cancer Specialist, SSO Hospitals, said,
“AI makes us do something before it is too late. Several head and neck cancers have been found to be manageable once diagnosed early and carefully planned and structured during surgery, such that important functions, such as speech and swallowing, are preserved. The response to AI is we are able to treat efficiently – and safeguard quality of life following healing.”

In cancers of the head & neck region, preserving critical functions (speech, swallowing, breathing) is vital. Surgeries have to be precise, avoiding nerves or structures. AI and robotics help surgeons plan and execute surgeries that balance oncologic control and functional preservation.
Publications on robotic / precision surgery in head & neck cancers are rising, underscoring how technology helps with margins while preserving function.

So his emphasis on quality of life is well placed: cancer care is not just survival, but preserving dignity and function.

Dr. Anil Jain, Founder Director, EPIC Hospital, said, “AI is assisting us to transform information into actions and accuracy into practice. This partnership between EPIC and SSO will be the future – hospitals, medtech and clinicians will come together to make more complex cancer care accessible, not only to the metros, but also to the entire country of India.”

This is exactly the trend in India: collaborations between tech firms, hospitals, and clinicians to expand the reach of advanced care beyond big cities.

India’s cancer burden is rising, and many patients are in small towns or rural areas with little access to high-end diagnostics or surgery. AI tools that can flag suspicious findings on commonly available imaging (like X-ray) help bridge that gap.

Qure.ai itself has global deployments and is growing fast (they aim for IPO, are working in many countries).

By combining EPIC (a multispecialty hospital), SSO (oncology focus), and AI/robotics, they create a hub model that might extend services further to underserved regions.

The first of its kind in Gujarat, the Seminar on Surgical Innovations confirmed the fact that the future of treating cancers is in the union of the human experience and artificial intelligence – making precision medicine a reality for patients everywhere.

That sentence is aspirational, but backed by ongoing work: many centres globally are already combining human expertise with AI tools and robotics. Some cancer centres in India and elsewhere are experimenting with AI-guided radiology, robotic surgery, and multimodal care.

In India, new medical centres are launching robotic surgery units even in government hospitals. For example, AIIMS in different cities are rolling out robotic surgery.

Also, new AI and robotic training centres are being launched (for example, in Singapore / Indian region) to build clinician capacity.

So Gujarat’s push with SSO & EPIC is well aligned with national and global direction.

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