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Hi, we are a group working on a class project to help edit an article. Our main goal is to do more research on specific topics about AI in healthcare and either add a new section/add to an already existing section.
Alex: I am interested in creating a new section called “Ethics/Controversy”. Given that AI in healthcare is relatively new, there is undoubtedly a lot of skepticism/unclear understandings about AI in healthcare. This section would aim to shine light on these controversies in an unbiased way and objectively break down the ethical aspect of using artificial intelligence in healthcare.
Sean: I am focussed on adding an “accessibility” Section, discussing how the technology may become available and to who will be able to benefit from it most. The article mentions potential uses in third world countries, but I would like to discuss the ways that individuals reading the article may either contribute to, or benefit from AI in healthcare, and where they can go to do so.
Claire: I am interested in adding more to the Telehealth section. Looking at the telemedicine article, there is not much information there about application of artificial intelligence, so it would not be redundant to add material here. I have found some sources to start researching. CJut ( talk) 02:27, 22 Oct 2020 (UTC) Claire
Hello I have chosen to work on this article for my class. I will be editing and improving the grammar/sentence structure of some sentences. I will also announce any deletions I may make. Please let me know if someone may have suggestions or concerns.
Microbiomeman ( talk) 02:27, 6 April 2018 (UTC) Evan
Hello, I disagree with the statement: "(2) and algorithms are black boxes; algorithms can predict extremely precise, but not the cause or the why." This is actually false, at least from the point of view of statisticians. Many algorithms used in Medicine are actually prefered because of their interpretability. They offer coefficients that quantify the importance of each feature (regression, linear, penalized or logistic). Other algorithms such as LDA or random forest allow you to create decision frontiers, which are understandable easily for any humans (ex: if some patient is over 130 kilos, then the patient is obese). Therefore you should really adapt that section.
Paciko ( talk) 09:22, 6 November 2018 (UTC)
Hello, I have chosen to work on this article for a class. I will be adding details about recent (since c. 2013) developments in the use of AI in identifying drug-drug interactions. Feel free to respond with comments or concerns.
Rammor ( talk) 17:27, 17 November 2019 (UTC)
Dear Wikipedia Community, I would like to propose a few edits/additions to the 'creation of new drugs' section in this article. Following are my suggestions, and I would love to hear your thoughts on it before I edit anything directly. Sources will be hyperlinked carefully in the main edits but I have mentioned those in brackets below for reference. Thanks in advance for giving this your time
1) Include an introductory sentence:
"For small molecules ( /info/en/?search=Small_molecule), computational AI approaches offer the possibility to predict properties of potential candidates by analyzing vast amounts of information and identifying suitable drug candidates for the disease variant."
2) Include additions to Insilico Medicine example:
"Later in November 2021, Insilico Medicine announced that it was dosing the first healthy volunteer in a microdose phase 0 trial of ISM 001-005, Insilico's AI-generated candidate for treatment of idiopathic pulmonary fibrosis ( https://insilico.com/blog/fih).
By February 2022, phase 1 clinical trials were started after phase 0 trials led to successful demonstration of clinical proof of concept, depicted by a favorable pharmacokinetic and safety profile of the drug in humans ( https://insilico.com/phase1)."
3) Consider removing the Deep Genomics example (unless there is a reason we want to highlight a candidate specifically for Wilson's disease, otherwise it seems there are too many examples shared in this section?)
4) Add a paragraph on rise in use of AI applications for drug discovery during Covid-19 (marking a major world event triggering an accelerated adoption):
"Applications of AI in drug discovery have also accelerated during Covid-19, including for identification and screening of existing medicines for repurposing them for covid-19 treatment. For instance, Oxford University's Recovery trial of Covid-19 therapies confirmed the benefits of a drug originally flagged by an AI tool created by BenevolentAI. The trial found that treatment with baricitinib, a drug marketed by Eli Lilly for rheumatoid arthritis, reduced deaths by 13% in patients hospitalized with Covid-19 ( https://www.ox.ac.uk/news/2022-03-03-recovery-trial-shows-baricitinib-reduces-deaths-patients-hospitalised-covid-19)."
Akhurana27 ( talk) 07:58, 11 June 2022 (UTC)
It is noted that this page does not make reference to the absence of the topic of AI education within the format curricula of healthcare provider education. This is an important topic for a variety of reasons: - There is a well acknowledged gap in current education and skills required for healthcare providers to be comfortable and knowledgeable about the use of AI-based tools in practice - There are immense patient safety, privacy and quality of care implications to this - Healthcare providers entering practice are exposed to a large number of vendors with AI tools of undetermined validity and utility, and do not have a framework for evaluating these.
I proposed that we make reference to these gaps and to work currently happening to propose curriculum changes (e.g. https://mededu.jmir.org/2023/1/e46344/). I attempted to make a suggested change though this was reverted. Happy to discuss. FrozenTroubadour ( talk) 14:37, 20 July 2023 (UTC)
This article was the subject of a Wiki Education Foundation-supported course assignment, between 24 May 2023 and 10 August 2023. Further details are available
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==Ethical concern suggestions== Olive41 ( talk) 20:57, 24 September 2023 (UTC) Hello all, I am a new user here on Wikipedia. From reading the article I wanted to suggest how the article can be improved. expanding on the section discussing ethical concerns related to AI in healthcare by providing more context and discussion on these issues, including potential solutions or strategies to address them. This will be beneficial to the readers because it provides a more comprehensive understanding of the challenges and responsibilities associated with AI in healthcare. It promotes ethical awareness, transparency, accountability, and responsible decision-making, ultimately contributing to the ethical and responsible development and use of AI in healthcare.
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[1] https://doi.org/10.1002/ame2.12364
[2] https://medicaltrend.org/2023/10/21/first-wave-of-ai-designed-drugs-faces-major-clinical-setbacks Zebrafishgroup ( talk) 12:02, 25 January 2024 (UTC)