AI has to transmit/mimic compassion somehow. COVID 19 patients fear loneliness and the scarce contact with the medical staff more than the consequences of the disease.

AI without empathic designs can bring lots of new problems.

The topic of cobots and humane treatments will demand a lot from medical applications of AI.

Alaa Ali

thank you very much!

wish U all the best

Have a look at :: https://www.frontiersin.org/articles/10.3389/fmed.2020.00027/full

Article Overview of artificial intelligence in medicine

Article The impact of artificial intelligence in medicine on the fut...

Some aspects that call for attention are:

1) Smart ways to circumvent dimensionality limitations;

2) How to represent and retrieve information from the cloud;

3) Advances regarding the fusion and understanding of phenomena investigated by means of different imaging modalities;

4) How to combine AI, image processing, ethics and empathy;

5) How to use deep learning in real-time;

6) How to deal with the tendency to use building blocks you do not understand.

I am concerned about item 6. Since there so many people who use systems as "plug-and-play" entities that I question their ability to criticize results.

How many people without experience can handle AI, image processing and robotics wisely?

Muhammad Ali

thank you muhammad ali

You’ve always been a source of inspiration and motivation for me from far far away!

Andrey Terziev

hi andrey

can you kindly explain the item number 6!?

Medicine has always been improved and boosted by technology in all the fields, just think in all the advanced that brought devices like the microscope, magnetic resonance and other medical imaging tools.

AI is going one step further by generating knowledge from all the data collected in healthcare systems. In 2020 AI is already coming into the hospitals and clinics.

medicine line is being affected by technology a lot. with AI, it has become easier to go through the body to check it as well as to operate it.

it has become easier to check all the compound combinations and its effects on body using the previous experience.

also, now a days, technology is being used by the common man to check symptoms, to get an idea of the problem, to check the medicine etc.

AI can provide clinical decision support to radiologists and improve the delivery of care to patients. With regard to image processing, DL algorithms can help select and extract features from medical images as well as help create new features.

Hot topic, you can check the recent conference

Aseel O Ajlouni

thank you Aseel.

can you name a few related conferences

Trang Jain

thank you very much!

can you elaborate it in real life situations!?

Alfonso Medela

thank you dear Alfonso for your comments.

I think it's fair to say that a neural net is no better than its training data. There should be a "physician in the loop" using a neural net to help diagnosis or treatment. There may be a temptation for politicians to use AI uncritically, simply to reduce costs.

The training data may be limited in different contexts such as

Size

Age group

Gender

Ethnicity

Geography

Diet

Complex system responses: biome, vagus, ‘juices’ (cortisol, adrenaline, dopamine, serotonin, oxytocin, …) …

Epigenetic expression of symptoms

...

For example AI has shown promise in detecting COVID from eye images

Anthony King "Algorithm Spots COVID-19 Cases from Eye Images: Preprint" Sep 21, 2020

but needs much more data to be reliable.

Dear Hossein Akbarialiabad , I have posted many answers about the application of Artificial Intelligence in Medicine. The link of this related research question follows.

https://www.researchgate.net/post/What_is_your_perception_thoughts_about_AI_amongst_the_healthcare_workers

AI has to transmit/mimic compassion somehow. COVID 19 patients fear loneliness and the scarce contact with the medical staff more than the consequences of the disease.

AI without empathic designs can bring lots of new problems.

The topic of cobots and humane treatments will demand a lot from medical applications of AI.

Here are 10 ways artificial intelligence, data science, and technology are being used to manage and fight COVID-19.

In a global pandemic such as COVID-19, technology, artificial intelligence, and data science have become critical to helping societies effectively deal with the outbreak...

https://www.linkedin.com/pulse/coronavirus-how-artificial-intelligence-data-science-technology-marr/

Ljubomir Jacić

thank you very much.

Dear all

For better evaluation, I suggest reading a brief viewpoint regarding ”dark web and medicine” published by the American Society of Internal Medicine.”

I hope it helps to be aware of the hazards as well.

Article The Double-Edged Sword of the Dark Web: Its Implications for...

AI has already changed how we view and practice medicine. From diagnosis, treatment, post-treatment monitoring to preventive measures/tools developed using AI algorithms being used. Medicine has advanced with AI.

SF-like ‘strong AIs’ (self-conscious, etc.) seem quite unlikely in the foreseable future. Thus, my guess is that, in the next couple of decades, significant progress medical AI should remain mostly focused within two sub-fields:

1/ Conversational (weak) AIs. While computers still can’t really ‘understand’ natural language in all its human subtleties, huge progresses are made in this field, enough for rather impressive voice-activated personal assistants, etc., to be already available. My bet is that we will soon have bedside conversational IAs, able to a certain extend to comfort patients, tend to some of their basic needs (fetching, etc.) and call for human intervention when needed.

While maybe not exactly medical, this is likely to become a significant relief for the nursing staff, and an important feature of traditionally (systemically ?) understaffed hospitals.

2/ But the main influence will probably come from data-mining (also weak) AIs.

Or rather: from the current explosion of ‘Big Data’, which is likely only at its beginning (think 5G, internet of objects, etc.) Huge quantities of information will be potentially available for any patient, most of it medically irrelevant, but with usually a small but unknown part potentially relevant, individually or on the basis on weird and unpredictable correlations.

Brute-force analysis of these data by powerful IAs will allow to identify this hidden relevant part and should thus probably become, in my opinion, a significant aid both to diagnosis and to treatment (and diet, etc.) fine-tuning.

(It is also likely to introduce interesting deontologic and legal puzzles…)

The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

Artificial intelligence (AI) and Machine learning (ML) systems in medicine are poised to significantly improve health care, for example, by offering earlier diagnoses of diseases or recommending optimally individualized treatment plans. However, the emergence of AI/ML in medicine also creates challenges, which regulators must pay attention to. Which medical AI/ML-based products should be reviewed by regulators? What evidence should be required to permit marketing for AI/ML-based software as a medical device (SaMD)? How can we ensure the safety and effectiveness of AI/ML-based SaMD that may change over time as they are applied to new data?

https://www.nature.com/articles/s41746-020-0262-2

Tele surgery (surgical procedure done in a remote location by Robotics, guided by an expert from another part of the world) is exciting.

Robots as small as tiny ant can 'crawl' into a blood vessel to attend to the essential 'repair'.

Nanotechnology guided genetic medicine to 'cure' genetic ailments in the unborn fetus.

Surgical simulation by artificial intelligence can almost mimic the actual surgical procedure, taking the trainee through the complete procedure.

These are just samples. There are plenty to come by right from Teaching students, monitoring, acquiring essential information by data analytics to advanced research analytics.

Artificial intelligence is poised to become a transformational force in healthcare. How will providers and patients benefit from the impact of AI-driven tools?

AI offers a number of advantages over traditional analytics and clinical decision-making techniques.  Learning algorithms can become more precise and accurate as they interact with training data, allowing humans to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes...

https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare

Dear

Ljubomir Jacić

Krishna Kumar Govindarajan

Eric Picholle

Eliud Perez

Okuthe P Kogeda

Andrey Terziev

Nikolaos Andreopoulos

John Wasson

Alfonso Medela

Trang Jain

Sujit Amin

Aseel O Ajlouni

Thank you very much for your recommendation and for supporting and taking care of this discussion!

Exponential medicine will alter the medical profession. I have uploaded my article

on: Humanizing Exponential Meidcine, here at RG and at SSRN.

https://ssrn.com/abstract=3157243

https://ssrn.com/abstract=3291349

For starters, the construction of robots, specifically androids, might encourage a desire to live forever or for an extended period as it might be perceived, barring trauma, robots and androids appear to do. Thereby, the old SF concept of zybords might reach fruition along with human direct connectivity to computer systems. Seen recently in the French Sci-Fi film Lucy with Scarlett Johansson. The main character ends up everywhere, and as long as computers exist, forever. The leaving off of our material form can be seen in many religions, dreams and fiction, while the desire to live forever can be seen in all three also. For many, it is a natural development. Whether we remain human is not part of the argument as it remains difficult to specify what humans actually are. Connectivity is in fact valued by some medical specialisations and religions and autonomy undervalued. Added to these arguments is the fact that human beings have always been a hybrid part organic/part technological species and seem likely to continue that way. While lions are lions, with specific shapes and means of existing, human beings are understood through the metal weapons they wield, the creation of speed, the time expressed distance they travel-all with the aid of course of technology.

Thanks dear Stephen I. Ternyik for your two articles. I do like very much the concept of Psychoneuroimmunology.

Stephen, your ideas on the importance of stress on the creation of diseases, certainly making different species more vulnerable to virus attack, is essential reading. I have noticed that animals when subjected to severe trauma, such as attack by predators, if they survive the attack die not long afterwards. Systems are weakened.

How this obvious connection is subsumed into modern medicine, which engages in invasive treatments in a similar manner to the way that USA engages in resolution of external difficulties, is another matter.

Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.

For more details, we have:

http://sitn.hms.harvard.edu/flash/2019/artificial-intelligence-in-medicine-applications-implications-and-limitations/

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3157243

Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread acceptance and application to medicine. In the early 2000s, many of these limitations were overcome by the advent of deep learning. Now AI systems are capable of analyzing complex algorithms and self-learning, we enter a new age in medicine where AI can be applied to clinical practice through risk assessment models, improving diagnostic accuracy and improving workflow efficiency. This article presents a brief historical perspective on the evolution of AI over the last several decades and the introduction and development of AI in medicine in recent years...

Article The history of artificial intelligence in medicine

Dear Larbi Messaouda , when you copy / paste some text, you should bring the link to the original resource. This is the proper way to avoid plagiarism.

https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine

Stanley Wilkin

this was great! Thank you!

In the next 2-3 decades, Ai systems should be able to work more hand in hand with medical experts therefore making the work left to be done by human medical practitioners very very little.

AI, deep learning, machine learning, and related disciplines are giving us a huge advantage in searching through the space of all possible hypotheses about the relationship between input data and output data.

Translated into medicine, AI et all allow us to make relationships between diseases and their real causes within extremely complex causal networks present inside of our cells/bodies.

This search, when done cleverly, can be fully automatized. According to my understanding from research on the prediction of TdP, VT, and VF arrhythmias, this is the near future of medical research.

Automatic mapping of all relationships present within living cells/bodies using huge databases of collected data is giving a strategical advantage to each country when it is pursued within its science.

Jiří Kroc

Thank you very much for letting me know about your invaluable ideas

This topic is incompletely covered inan the early preprint of a paper on the prediction of TdP, VF, and VT arrhythmias.

Using a paraphrase of a famous sentence "Give me a fixed point and will move the whole Universe!", we can say: "Give me a large enough database and I will find causes of all diseases!"

Jiří Kroc

Is it really possible in biology and medicine!?

I assume it’s very optimistic that AI in medicine can reslove all issues. It would be a tool at the maximum; a precious tool!

But we should know it has severe limitation s

Yes, you are right. Every new theory gets big attention, is explored to its ultimate limits, and later it is replaced by some better theory.

Currently, the best mathematical tools in medicine are complexity and AI. There are no other mathematical tools in existence capable to bring medicine to the next mathematization level.

Mathematization of biology & medicine is one of my main interests. Concerning complexity, you can read a review of the topic. Self-organization, self-replication, self-repair, and emergence are biologically fundamental processes., which can be so far described only by using complexity.

Jiří Kroc

Thank you for your invaluable comment!

Your viewpoint is amazing

Dear Hossein Akbarialiabad,

Thank you for your kind words. I would like to add that nature is my great teacher of complexity. Functioning of the human body in interaction with its environment, and different healing modalities are of great interest to me. You are welcomed to follow project Complexity in medicine as it aims towards the directions mentioned here.

Your paper on the influence of green tea on nerve damage recovery

https://www.researchgate.net/project/Complexity-in-Medicine-Practical-Problems-Their-Definitions-Models-and-Solutions/update/5fb1080e543da600017f2484

got shared there as it perfectly demonstrates the complex biochemical compounds mixtures on cellular function.

We are far from being capable to mathematically describe the complexity of interactions between food and body. We must learn a lot.

Jiří Kroc

Thanks a lot for your kindness and attention.

I’m in agreement with you that we are Far behind the complexity of the nature! We should be too modest! We are at the beginning in this way...

Dear Hossein Akbarialiabad

I think this is true. AI can affect and develop the diagnosis process of medicine in the real world. Check these articles

Article Novel Feature Selection and Voting Classifier Algorithms for...

Article Breast Cancer Segmentation From Thermal Images Based on Chao...