Page 32 - CT_AI_Class-7

Use of AI in Hospitals and Medicine
AI-powered tools and systems are now an essential part of modern healthcare. These systems
can analyse medical images like X-rays and scans to identify early signs of diseases such as
cancer or diabetic retinopathy, enabling quicker interventions. With AI’s ability to process large
amounts of medical data rapidly, it allows healthcare professionals to make timely decisions that
were once challenging to achieve.
Some patients use smart devices such as fitness bands and health monitors, which continuously
track vital health data like heart rate, steps and sleep. These devices alert users if any abnormal
readings are detected, prompting them to visit a doctor and ensuring that immediate attention
is given when needed. AI also plays a crucial role in drug discovery by enabling scientists to
analyse vast amounts of chemical and biological data, speeding up the process of identifying new
medicines. Additionally, robotic surgeries make complex procedures safer and reduce recovery
times, helping patients heal more quickly.
Case Study: Precision in Heart Surgery
A young girl needed heart surgery, a procedure that typically
requires large incisions and a long recovery time. However,
this time, doctors used an AI-assisted robotic system. The AI
technology helped steady the surgeon's hands, eliminating even
the smallest natural tremors. The surgery was carried out through
three small cuts and just a few days later, the girl was sitting up
and drawing with crayons. While AI did not perform the surgery
independently, it played a key role in assisting the doctor, making
the procedure safer and less invasive.
Improving Accuracy and Decision-Making
AI can process thousands of medical reports in seconds, while a medical professional might
spend hours or even days reviewing the same amount of data. It can swiftly compare a patient’s
symptoms with global medical data and suggest potential treatment options.
30 Artificial Intelligence (CT & AI)-VII
In cases of rare illnesses, AI systems can analyse global medical records to identify similar cases
and recommend effective treatments. This improves decision-making, reduces errors and allows
doctors to focus more on patient care. Furthermore, AI supports personalised medicine by tailoring
treatment plans based on a patient’s genetic information, lifestyle and medical history, leading to
more effective treatments and better recovery outcomes.
Ask
AGENT
OrangeAI
How do AI technologies like Machine Learning and Deep Learning help machines learn from data?
Study
AI IN EDUCATION
AI in education refers to the use of smart computer systems that perform tasks requiring human
intelligence. It is transforming education by making learning more personalised, efficient, engaging
and accessible.
Today, students are not limited to textbooks and traditional classrooms, as digital platforms
provide interactive and innovative learning experiences.
AI in Teaching and Learning
AI is powering many educational apps and websites that are now available to students in new and
engaging ways. These sites teach through videos, quizzes and games. When a student responds
to a question, the system immediately checks it and provides feedback.
Teachers also use the tools to keep track of how students are doing and grade their work. Teachers
do not have to spend as much time grading papers, which means they can spend more time
helping students learn concepts better.
For example, web-based applications such as digital learning platforms make it easy for teachers
to share notes, assign homework and interact with students.