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Real Cases: Ai Detecting Cancers Earlier Than Doctors

AI technology is improving cancer detection and surgical procedures, leading to higher survival rates and reduced doctor workloads. Notable cases include a study in Sweden showing AI's effectiveness in breast cancer screening and a successful robotic heart transplant in the USA. However, challenges such as data quality, ethical concerns, and integration into healthcare systems remain significant hurdles for AI adoption.

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5 views7 pages

Real Cases: Ai Detecting Cancers Earlier Than Doctors

AI technology is improving cancer detection and surgical procedures, leading to higher survival rates and reduced doctor workloads. Notable cases include a study in Sweden showing AI's effectiveness in breast cancer screening and a successful robotic heart transplant in the USA. However, challenges such as data quality, ethical concerns, and integration into healthcare systems remain significant hurdles for AI adoption.

Uploaded by

Babbu Babbu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Real cases

AI D ETEC TING CANC ERS


EAR LIE R THA N DOCTOR S
AI the fastest doctor
• Early detection → survival rates up to 99%.

• Doctors may miss subtle tumors due to heavy


workload.
• Improves accuracy → catches cancers
earlier.
• Reduces doctor workload → more focus
on complex cases.
• Fewer false alarms → less patient stress.
• Outcome: Earlier treatment = More lives
saved.
Case 1: Breast cancer surgery
. Sweden(2023)
• Study Type: Randomized controlled trial (the gold standard in medicine).

• Participants: Over 80,000 women in breast cancer screening.

• Result:

• AI + radiologists detected 20% more cancers.

• Doctors’ workload dropped by 44%.

• Why Important: First large-scale proof that AI works as well (or better) than human-only
screening.
Case 2:Successful robotic surgery
. U.S.A(2025)
• 🫀 First fully robotic heart transplant in the U.S. (2025, Baylor St. Luke’s, Houston).
• Performed via a small 5-inch incision → no need to cut open the chest.

• Results: Less blood loss, fewer infections, faster recovery (patient walking, driving,
exercising within weeks).
• Similar success in Saudi Arabia: 16-year-old patient; surgery completed in just 2.5 hours
with robotic + AI support.
• Impact: Robotics + AI = safer, faster, and more precise heart surgeries.
AI in Healthcare: Challenges &
Limitations
• Data Dilemma: AI needs high-
quality data; biased or incomplete data
→ errors.
• Human Touch Missing: Rare cases
and subtle clinical signs may be
overlooked.
• Ethics & Accountability: Who’s
responsible for mistakes? Patient
privacy matters.
• Workflow Hurdles: Integrating AI
into hospitals isn’t plug-and-play.
• Cost & Access: Advanced AI tech
can be expensive and limited.
• Trust Gap: Patients and doctors may
hesitate to fully rely on AI.
AI the future healer

• Predictive Diagnostics: AI anticipates


diseases before symptoms appear

• Personalized Treatment: Tailors therapy for


each patient using real-time data

• Surgical Precision: Robots + AI = safer,


minimally invasive procedures

• Virtual Health Assistants: 24/7 AI guides and


monitors patients

• Innovative Thought: Imagine AI designing


new medicines in hours, not years,
revolutionizing healthcare discovery
“Wherever the art of medicine is loved ,there is also a love of humanity”

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