AI is very very hot in medicine nowadays. Is it hope or hype? Your valuable, priceless contributions would be much appreciated. Many thanks in advance and please do enjoy...
At present Artificial Intelligence (AI) already has an important place in Scientific Medicine, both in the clinic, as in teaching and research.
An example of the application of AI is in Telemedicine and Surgery performed by robotic arms operated in situ or remotely.
In a decade the advance will be greater, as long as the Human Intelligence (IH) that is the one that creates the AI programs, has also been developed along with said tools with its efficient and safe application. There could even be more progress in Robotic Medicine, in Organ Cloning and Transplantation, in the development of New Molecules with therapeutic potential (New Drugs) and finally, a reality in Genomic Medicine, with direct, safe and ethical intervention, in modification and improvement of nuclear and mitochondrial DNA.
Government hospitals lack artificial intelligence, the health sector is generally weak, only in private hospitals we find artificial intelligence and after 2003
It is booming and rapidly! Environmental Control Units (ECUs) are widespreading and have proven to be really useful. Such technology is expensive though!
At present Artificial Intelligence (AI) already has an important place in Scientific Medicine, both in the clinic, as in teaching and research.
An example of the application of AI is in Telemedicine and Surgery performed by robotic arms operated in situ or remotely.
In a decade the advance will be greater, as long as the Human Intelligence (IH) that is the one that creates the AI programs, has also been developed along with said tools with its efficient and safe application. There could even be more progress in Robotic Medicine, in Organ Cloning and Transplantation, in the development of New Molecules with therapeutic potential (New Drugs) and finally, a reality in Genomic Medicine, with direct, safe and ethical intervention, in modification and improvement of nuclear and mitochondrial DNA.
AI and machine learning is currently being incorporated into medical research more and more (mostly for predictive purposes). In a decades time, AI will be much more involved in patient care.
Below is a link to some few recently published papers on the use of AI and machine learning in medicine
Indubitably, AI as a powerful system, has already proved to be very useful in various aspects of life. When tasked with ensuring our safety, it can create wonderful gains for the health and happiness of mankind. As you have astutely observed, the next decade will witness many important achievements in medical sciences thanks to the potentials of AI technologies.
On the basis of DNA sequences it will be possible to predict the probability of the expression of certain mutations. Based on all analytical data algorithms will enable to recommend the best possible treatment of the patient.
Marginally I would think !!! For radiology and epi-genetics (may be) but the rest we need doctors , I hope there will be more of human doctors than machines or AI ...
Major pharmaceutical companies in the world have switched to artificial intelligence to improve the search for new drugs. GlaxoSmithKline has unveiled a new $ 43 million deal, while other pharmaceutical companies including Merck & Co., Johnson & Johnson and Sanofi are considering using artificial intelligence to reverse the search for new drugs.
Great question - here are my personal predictions for 2030:
- In radiology, AI is an established procedure and AI diagnoses are more helpful and reliable than human ones.
- In dermatology, AI is good and supportive.
- In cardiology first real advances through the integration of images and other analyses can be seen.
- In oncology and diabetes, great advances can be seen in diagnosis and therapy from systems medicine.
- Artificial intelligence has created more jobs and more jobs can be done from home or on the road. There are less jobs requiring presence from 9-5.
- AI tools are used as a standard in nursing and supplement physical care - there are satellite homes for the elderly.
- AI tools are used by doctors and pharmacists on a regular basis.
- Patients may have access to AI tools and can analyze their own symptoms, lab results and radiology images. They are able to suggest therapies based on their own medical records, habits and their individual environment.
- The effects and benefits of drugs are being systematically analyzed by insurance companies and governments (through AI).
- Only few AI companies are successful, many are bankrupt and have caused big trouble at the stock exchanges.
- The first groundbreaking achievements in the use of AI in systems medicine are visible.
- Some hospitals apply surgery robots, but they are still at the intellectual level of vacuum cleaners (it will take longer to be used as a standard tool).
- No media hype about AI and Big Data can be seen. Instead, it has been replaced by a multidisciplinarity hype - a better word has been found ("Muldi"?).
- Increased transparency through AI is a major ethical concern for everyone.
- Ethical principles for data analysis have been softened in favour for national economic interests.
- Doctors study AI methods as a standard requirement in medical education.
- Standard medical university studies will be supplemented or replaced by a modular curriculum (also applies to other disciplines).
Oh sorry - now I have written much more than I actually wanted to write :) ....