What does artificial intelligence do in medicine?

robots medicine

(Andy Kelly, Unsplash)

This article was written for The European Sting by our guest writer, Mr. Jakub Kufel medical student at Silesia Medical University, Poland. The opinions expressed within reflect only the writer’s views and not necessarily The European Sting’s position on the issue.


Artificial intelligence (AI) is a general concept that assumes the use of a computer to model intelligent behavior with the least human intervention. The term comes from the Czech word robot, which means biosynthetic machines used as forced labor. This term applies to a wide range of medical articles such as robotics, medical diagnosis, medical statistics, and human biology, up to today’s “omic”. Ai in medicine has two main categories: virtual and physical. Its virtual part deals with the analysis of AI from the management of deep learning of information to the control of health management systems, such as electronic health records or active advice of doctors in making treatment decisions. The physical aspect of AI relates to robots used to assist an elderly patient or operator in an operating room.

The use of artificial intelligence in medical imaging

AI particularly good achievements in this field are achieved in the analysis of brain scans by magnetic resonance imaging (MRI) to predict Alzheimer’s disease. Convolutional neural network (CNN) presented for the first time in the 1950s and gaining popularity over the last 10 years is successfully used in predicting the risk of knee osteoarthritis in MRI. AI is also gaining popularity in dermatology. In 2017, a team of researchers led by Esteva A. conducted a study in which artificial intelligence was found to have similar results in the diagnosis of skin biopsies compared to 21 licensed dermatologists. CNN has also been used for the early diagnosis of diabetic retinopathy based on fundus photos in high use. Radiology has the highest hopes for AI. Due to the large number of examinations performed and the small number of radiologists available, the evaluation of tests is delayed. There are already systems that use CNN to detect pulmonary tuberculosis or cancer on chest radiographs and computed tomography. To support the development of deep learning as part of artificial intelligence and encourage work on new solutions, the National Institutes of Health (NIH) has created and shared a database of over 100,000 chest radiographs. Several research teams have created a model using different neural networks to achieve high results in the disease entities visible on X-ray images. The teams subsequently achieved the following results: Wang et al. 75%, Shen et al. 78%, Guendel et al. 81%, Yan et al. 83%, Baltruschat et al. 73% (percentages are the average of correct diagnoses obtained from a shared analysis by NIH chest radiographs). This proves that CNN can be used in medical practice because they achieve similar results to those obtained by radiologists. In this way, they can relieve radiologists, support diagnostics in the future and, after improving, they can even replace doctors.

Why AI is needed in medicine?

AI is a phenomenon that changes the face of medicine. It is a field of science that is constantly evolving. CNN is used in almost every type of medical imaging. Particularly applicable in radiology. The constantly evolving AI will be entering new fields and medical specializations because it has not yet been applied in all of them. Further research is needed on the procedures implemented with the use of AI, as the current knowledge on this subject is relatively small. The implementation of appropriate technological and legal solutions will relieve health care and make access to it relatively simpler.

References

  1. Hamet P. i Tremblay J., Artificial intelligence in medicine, Metabolism: clinical and experimental, (2017), S36-S40.
  2. Wang C., Elazab A., Wu J. i Hu Q., Lung nodule classification using deep feature fusion in chest radiography, Computerized medical imaging and graphics the official journal of the Computerized Medical Imaging Society, (2017), s. 10–18.
  3. Shen Y. i Gao M., Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization, MLMI, (2018).
  4. Charte F., Rivera A., del Jesus M. J. i Herrera F., A First Approach to Deal with Imbalance in Multi-label Datasets, w: E. Hoz, A. Ortiz, J. Ortega, E. Hoz (red.), Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques, t. 8073, Berlin, Heidelberg, Springer Berlin Heidelberg, (2013), s. 150–160.
  5. Baltruschat I. M., Nickisch H., Grass M., Knopp T. i Saalbach A., Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification, Scientific reports, (1), (2019), s. 6381.

Advertising

Join the Hive!

the sting Milestone

Featured Stings

Can we feed everyone without unleashing disaster? Read on

These campaigners want to give a quarter of the UK back to nature

How to build a more resilient and inclusive global system

Stopping antimicrobial resistance would cost just USD 2 per person a year

Coronavirus: Commission boosts budget for repatriation flights and rescEU stockpile

Theresa May’s global Britain against Philip Hammond’s Brexit fog

Preventing and resolving conflicts must form ‘backbone’ of collective efforts – UN chief

This woman solved one of the biggest problems facing green energy

The EU to bear the cost of eventual sanctions against Russia

This heroic doctor is waging war on rape and the stigma around it

Glasgow and Edinburgh race to become the UK’s first net-zero emissions city

OECD joins with Argentina to fight financial crime

Do men and women really have different leadership styles?

Amid ‘unprecedented combination’ of epidemics, UN and partners begin cholera vaccination campaign in DR Congo

EU-Turkey relations: EU considers imposing sanctions while Turkey keeps violating Cyprus’ sovereignty

‘Abhorrent’ ambulance attack in Libyan capital imperils life-saving work, warns UN

Bosnia and Herzegovina: MEPs concerned by slow progress in EU-related reforms

Japan’s agro-food sector would benefit greatly from policies to boost innovation, entrepreneurship and sustainable resource use

COP21 Breaking News: Paris Pact on Water and Climate Change Adaptation Announced

Around 23 million boys have married before reaching 15; ‘we can end this violation’ says UNICEF chief

Real EU unemployment rate at 10.2%+4.1%+4.7%: Eurostat Update

US Middle East peace plan ‘lopsided’, says independent UN rights expert

How a 3-point plan could help rebuild business for the long-term

JADE Generations Club: Connecting perspectives, changing Europe.

US pardons for accused war criminals, contrary to international law: UN rights office

Coronavirus could trigger a hunger pandemic – unless urgent action is taken

Here’s how a circular economy could change the world by 2030

EP supports local authorities fighting the effects of the pandemic

Further reforms will promote a more inclusive and resilient Indonesian economy

Antitrust: Commission fines Google €4.34 billion for illegal practices regarding Android mobile devices to strengthen dominance of Google’s search engine

The Parliament defies a politically biased Banking Union

Europe, US and Russia haggle over Ukraine’s convulsing body; Russians and Americans press on for an all out civil war

Latin America is a mass-transit powerhouse. But it needs fine-tuning

How wealthy people transmit this advantage to their children and grand children

Can technology save life on Earth?

ECB: Monetary policy decisions

Why home is the least safe place to be a woman

Climate change: ‘A moral, ethical and economic imperative’ to slow global warming say UN leaders, calling for more action

Big world banks to pay $ 4.95bn for cheating customers; Is it a punishment or a gentle caress?

London wants new skyscrapers to protect cyclists from wind tunnels

How to talk to people about mental health – and support one another

President Juncker temporarily transfers portfolio responsibilities following departure of two Members of the European Commission

EU budget for 2019: do more for the young, SMEs and the climate, urge MEPs

Copyright: MEPs update rules for the digital age

An Eastern Wind

UN Assembly calls on all States to observe Olympic Truce throughout Tokyo Summer Games

CEOs say these 4 factors will shape business in 2020

Dare to be vulnerable, and three other lessons in leadership

This robot has soft hands. It could be the future of sustainable production

Four major resources for new European young entrepreneurs

ILO warns of widespread insecurity in the global labour market

This city in India swaps plastic for free meals

‘Multi-generational tragedy’ in Israel and Palestine demands political will for two-State solution

European Commission launches infringement proceedings against the UK following its failure to name a candidate for EU Commissioner

When is necessary understand the cultural marks in health-disease process

Bolivia: UN underlines support for ‘credible, transparent and inclusive’ election

MEPs urge the EU to lead the way to net-zero emissions by 2050

How COVID-19 compares to seasonal flu, and why you should take it seriously

Renewal of cross-border aid operation critical to northern Syria: UN relief chief

Supercomputing could solve the world’s problems, and create many more

European Junior Enterprise Network – Ready to take the Step Into the Future?

A Sting Exclusive: China’s Foreign Minister Wang Yi on South China Sea issue at the ASEAN Regional Forum

Want to shop more sustainably and recycle better? This app could help

Electronic or conventional cigarettes – which is safer?

More Stings?

Advertising

Trackbacks

  1. […] What does artificial intelligence do in medicine?  The European Sting “Artificial Intelligence” – Google News […]

  2. […] What does artificial intelligence do in medicine?  The European Sting […]

  3. […] productivity as well as profits. The benefits of applying artificial intelligence… What does artificial intelligence do in medicine? Artificial Intelligence News     •     May 3, 2020, 5:00 am This article […]

Speak your Mind Here

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s