TL;DR Science: Artificial Intelligence in Healthcare

By Aya D.
June 24, 2023 · 3 minute read


Computer Science

Cognitive Science


What is artificial intelligence(AI)?

 Intelligence is the capacity to solve problems, learn, and, make decisions effectively. It exists in different forms and levels among humans, animals, and even machines. From here comes “Artificial Intelligence” which as John McCarthy stated in one of his research papers: “

It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence”.

What is medical diagnostics?

The process of evaluating medical disorders and diseases by analyzing the symptoms, medical history and blood work is known as diagnosing which indeed is an art that requires highly professional skills by well-prepared and trained doctors and specialists. This process may include analyzing MRIs CT scans etc. The aim of this process is to tailor a suitable treatment for patients.

The implementation of AI in diagnosis:

With the recent AI revolution, medical diagnostics could be improved to revolutionize the field of medical diagnostics.

  1. Early Disease Detection:

According to a new study, artificial intelligence algorithms may be the key to identifying who is at the most risk of developing one of the most notoriously difficult cancers to diagnose early: pancreatic cancer.

 In a study published in the peer-reviewed journal Nature Medicine, researchers found that with the help of AI, they were able to identify those most at risk for developing pancreatic cancer around three years before diagnosis purely by using the patient’s medical records. It could be a game-changer in battling this type of cancer, which is fast-growing and hard to detect, researchers say.

  1. Speed and accuracy:

AI can revolutionize medical imaging by automating the analysis of radiological images, such as X-rays, CT scans, and MRIs. Deep learning algorithms can quickly and accurately detect abnormalities, tumours, and other subtle changes that may indicate diseases, assisting radiologists in making more precise diagnoses.

  1. Efficiency:

In addition to that,Quantum computers have significantly more processing power than classical computers, and this could allow quantum AI algorithms to analyze vast amounts of medical data in real time, leading to more accurate and efficient diagnoses. By using AI algorithms to analyze vast amounts of medical data and identify patterns and relationships, general AI for medical diagnostics can transform the field of medicine, leading to improved patient outcomes and a more efficient and effective healthcare system.

  By increasing precision, effectiveness, and patient outcomes, the ongoing AI diagnosis revolution has the potential to completely change the healthcare industry. It also comes with a number of ethical difficulties, though. As AI systems depend on a huge amount of individual health data, protecting patient privacy and data security is a major challenge. Furthermore, concerns regarding justice and accountability are raised by the possibility of bias in algorithms and the lack of transparency in their decision-making procedures. Finding the ideal balance between AI's capabilities and human expertise becomes essential since relying too much on AI systems without adequate human monitoring might result in mistakes and possible patient harm. To fully utilize AI in diagnosis while preserving patient rights, it is essential to address these ethical issues.


The revolution of AI in diagnosis has a promising potential to improve medical diagnostics in regard to efficiency, accuracy and patient outcomes. However, it also brings along a host of ethical challenges that need to be addressed.

Did you enjoy this article?

About The Author

A bit of a nerd when it comes to biology.

More on this topic...

TLDR: Exploring the Frontier of Science: Bioinformatics and Genomic Data Analysis

In today's ever-evolving world of science, one field stands at the crossroads of biology and computer science, promising exciting discoveries and breakthroughs. Bioinformatics and genomic data analysis are captivating domains that offer an intriguing glimpse into the fusion of technology and life sciences. Check out the article this week to learn more!

TL;DR Science - Vitamins and Minerals

Regardless of our age, we’ve always been told to eat balanced.  Fruits and vegetables form a large part of that ideal diet.  However, we don’t always think about why that is; sure, they’re healthy, but what makes them so important to our eating habits?  What about proteins – what makes lean meats or lentils the central focus of many of our plates?  The answer is pretty simple: all these foods are packed with nutrients. Read this week's article on vitamins and minerals!

TLDR Science: RNA-Seq Analysis: The Fascinating World Inside Our Cells

Check out this week's article on RNA sequence analysis!

TL;DR Science: Prosthetics

Exploring the world around us requires us to use our five senses, but what if one of those senses was made impossible to use?  Most of us could never imagine living life without our hands, arms, legs, or feet, but this is a reality for so many around the globe.  Prosthetics are a means for those people to improve their quality of life, but what goes into these devices and what implications (both positive and negative) do they pose for users?  Check out this week's article about prosthetics!

TL;DR Science: Allergies

Have you ever wondered why some of us are unaffected by springtime pollen while others find themselves sneezing?  Or why not everyone can enjoy a good peanut butter and jelly sandwich without having a reaction?  What really causes these allergies, and why do they vary among different people? Find out more in this week's article!