Week 1
Ai and Medical
Diagnosis
EZZALDEEN
ALI ABDO SAEED ALSAMAH (TP076013)
AI is transforming the realm of medical diagnosis.
AI algorithms can process large volumes of data, allowing for quicker and more
accurate integration of patient biometrics, pictures, medical records, genetic
data, and clinical notes. This technology enables healthcare practitioners to
make better, faster judgments, significantly improving patient outcomes (IBM,
2023).
One notable use of AI is the
detection of genetic abnormalities in newborns. Researchers created Gene, an
application that utilizes AI to identify face features related with genetic
disorders. The app demonstrated over 90% accuracy in detecting four dangerous conditions
(Laliotis, 2023).
AI is also used to detect and diagnose
diseases. For example, machine learning algorithms can monitor the vital signs
of patients getting critical care and notify physicians if specific risk
indicators rise(Care, 2023).
To summarize, AI is a strong tool
that may dramatically boost the efficiency and accuracy of medical diagnosis,
resulting in enhanced patient care.
References:
Education, I., & Education, I. (2023,
October 3). The benefits of AI in healthcare. IBM Blog. https://www.ibm.com/blog/the-benefits-of-ai-in-healthcare/
AI in Medical Diagnosis: How AI is
Revolutionizing Healthcare. (n.d.). Docus. https://docus.ai/blog/ai-in-medical-diagnosis/
Mya Care. (n.d.). AI-DRIVEN HEALTHCARE
DIAGNOSTICS: a REVOLUTIONARY FRONTIER IN MEDICINE | MyA Care. https://myacare.com/blog/aidriven-healthcare-diagnostics-a-revolutionary-frontier-in-medicine
Rian Abdalwahab
Ahmed Ayash Tp075789
Topic
1:
EDUCATION
Artificial
intelligence (AI) is expected to experience seemingly incredible
transformational pathways in teaching through application of modern
technologies. The other front desk is the possibility of individualizing
learning adventures. AI systems enabled by analyzing student data can then
adapt their techniques and content in order to deliver the teaching material
based on individual capabilities and type of learning. It not only promotes
understanding but also persuades the students to get the subject so they remain
more engaged and motivated.
AI
education and AI in education. (2023, December 4). NSF - National Science
Foundation. https://new.nsf.gov/science-matters/ai-education-ai-education
(AI
Education and AI in Education, 2023)
In
the meantime, AI can thus be used as a tool to back educators in some
administrative tasks like grading assignments, the management of schedules or
even the creation of individualized lesson plans. To relieve teachers from
mundane tasks, the automation can enable them to engage in student interaction
and supplying individualized attention.
In
addition, AI can empower the creation of interesting and engaging learning
environments through the utilization of VR and AR. This classroom technology is
able to carry students all the way to notable past events, alien nations and to
the smallest microscopic worlds which in effect all makes for an intriguing and
unforgettable learning.
AI
education and AI in education. (2023, December 4). NSF - National Science
Foundation. https://new.nsf.gov/science-matters/ai-education-ai-education
(Blanka Klímová & Seraj, 2023)
Mohammed
ali Mohammed Ahmed aqel TP077943
Topic
1:
The
artificial intelligence (AI) is very likely to play a role in fighting global
climate changes and species extinction. In farming, AI increases precision in
actions and cutbacks on carbon emission thereby enable fertilizer precision and
increase yield and profitability. AI applications in waste management includes
data analysis, optimizing these systems of waste management, and even the use
of AI driven robots that point to higher recycle rates as they sort and
segregate materials.
AI
provides data which helps water resource management through project
implementation, demand reduction, and quality improvement. With regards to
mitigation of climate change, AI assesses greenhouse gases and weather patterns
so as to come up with the best environment friendly policies and lower the
emission total. AI brings aid to the biodiversity protection by gathering the
information about the populations of species and their habitats, and provides
conservation planning.
The
AI in line with the 2015 the UN‘s recommendations facilitate organization to
deliver efficient services and reduce the wastes of resources while at the same
time offering new ideas, in healthcare, education, poverty reduction,
sustainable development economy, and environmental protection. But while AI
must be condensed with strict rules in order to guarantee humanity and
responsibility until privacy and safety are maintained. It should be taken into
account that AI development experts have an obligation to ensure that
sustainability and social responsibility are considered crucial approaches
(Licia Genghini, 2023).
Reference:
Jacobo,
J. (2023, July 26). Mitigating climate change and preserving biodiversity:
Several ways AI can be used to help the environment. ABC News; ABC News.
https://abcnews.go.com/US/mitigating-climate-change-preserving-biodiversity-ways-ai-environment/story?id=101590463
Licia
Genghini. (2023, October 3). 8 Ways Artificial Intelligence Can Contribute to
Environmental Conservation. 2030.Builders. https://2030.builders/8-ways-ai-can-contribute-to-environmental-conservation/
Temirlan
OspanTP077066
TOPIC
1
The
artificial intelligence (AI) discipline of natural language processing (NLP) is
transforming how people communicate with one another and with machines (Gillis,
2023).
NLP
enhances communication and accessibility across platforms and languages by
enabling computers to comprehend and analyse human language. It works
especially well for sentiment analysis, which helps companies examine customer
feedback, social media posts, and survey findings to increase customer
satisfaction and brand loyalty. Chatbots, which provide 24/7 customer support
and improve user experience in sectors like banking and healthcare, are another
example of how NLP is revolutionising consumer service (Fallman, 2022).
NLP
is evolving quickly in spite of obstacles including biases in training data and
current research on cultural allusions and sarcasm. This will pave the way for
seamless human-machine interaction in the future and advance global
communication, customer service, and healthcare.
Reference:
1. Fallmann D. (2023, March 1). How
sentiment analysis is changing the customer experience game. Forbes.
https://www.forbes.com/sites/forbestechcouncil/2022/11/17/how-you-can-get-the-most-out-of-sentiment-analysis/
2. Gillis, A. S. (2023, January 20).
What is natural language processing? An introduction to NLP. Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP
KEVIN
CYIRIMA TP076893
TOPIC 1
AI
is transforming financial services by improving fraud detection, customer
service, algorithmic trading, risk management, personalized financial advice,
credit scoring, compliance, predictive analytics, automated document
processing, and market research.
In
fraud detection, AI algorithms analyze vast amounts of data in real-time to
identify suspicious patterns and flag potential fraud, reducing risks for
financial institutions. AI-powered chatbots and virtual assistants provide
instant responses to customer inquiries, streamlining support processes and
enhancing customer experience. AI algorithms can analyze market trends, news,
and historical data at unprecedented speeds, leading to optimized investment
strategies and improved returns. (HyperVerge,2023.)
AI
models can assess credit risk, market risk, and operational risk more
accurately, enabling better decision-making and regulatory compliance.
AI-driven robo-advisors offer tailored investment recommendations based on
individual preferences, goals, and risk tolerance, democratizing access to
financial planning services. AI models can evaluate creditworthiness more
accurately by analyzing non-traditional data sources and behavioral patterns,
expanding access to credit for underserved populations.
AI-powered
systems can automate compliance tasks, monitor regulatory changes, and generate
accurate reports, reducing operational costs and ensuring adherence to complex
regulatory requirements. AI algorithms can forecast borrower behavior and
repayment likelihood, enabling lenders to optimize loan terms, minimize
defaults, and improve portfolio performance. ( Redress Compliance ,2021.)
AI-based
optical character recognition technology can extract relevant information from
documents, accelerating data entry and processing workflows. AI techniques like
natural language processing can analyze news articles, social media feeds, and
other textual data to gauge market sentiment, providing valuable insights for
investment decision-making.
While
AI has the potential to revolutionize financial services, it should be layered
with other tiers of analysis, including human ones, to form a comprehensive
financial fraud strategy.
References:
TestingXperts. (2021, March 24). How Does AI
in Financial Services Improve the Customer Experience? Retrieved from
https://www.testingxperts.com/blog/ai-in-financial-services/2
Enzjc,
C. (2020, September 21). How Artificial Intelligence is Transforming the
Financial Services Industry. Retrieved from
https://www.linkedin.com/pulse/how-artificial-intelligence-transforming-financial-services-c-enzjc3
HyperVerge.
(2023, January 11). How to Leverage AI to Prevent Fraud: A Deep Dive for
Financial Institutions. Retrieved from
https://hyperverge.co/blog/leverage-ai-to-prevent-fraud/4
Redress
Compliance. (2021, April 12). AI Consulting Services For Finance: Transforming
Banking. Retrieved from https://redresscompliance.com/ai-consulting-services-for-finance-transforming-banking/5
Hamza
Khaled Mohamed Almakhathi TP077218
Math Problem Solving
AI-powered math problem-solving apps are able to read into the math word problems and, accordingly the pertinent mathematical operations that are required. Whereas they do easily, very complicated technical ones in the areas where the algebra and calculus, which are frustrating for student, teacher, and professional, are involved.
Also, AI-driven humanoid coaching gadgets and tutoring applications with their personal support are tailoring made to everybody's unique learning style and pace. The full integration of AI into the educational process can be like a bridge to the greatest mathematical challenges, unless there is a complex thinking and solution seen (Taskade ,2023).
References:
AIMath Problem Solver Bot Agent. (2024).Taskade;Taskade.
https://www.taskade.com/agents/education/math-problem-solver
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