Small sample size problems: learning from very few training examples
By Patrick Glauner | Dec 02, 2022
Conventional wisdom often holds that huge amounts of data are necessary to train models and algorithms to make them more accurate. However, this is not always feasible. Sometimes one must figure out how to learn and do the best one can from data that are available, even if they are not ideal.
AI to combat nursing churn
Amid the COVID-19 pandemic, nursing has been among the most stress-prone professions and also one of the hardest-hit by attrition. Using AI to identify and address some of the sources of this stress will enable nurses to do their jobs better and more efficiently, keep stress at much more manageable levels and prevent burnout.
In quest of a development plan for Asia
Can a region as complex and fast-changing as Asia devise and implement a comprehensive development plan? The Jakarta-based Economic Research Institute for ASEAN and East Asia, which just released its third 'Comprehensive Asia Development Plan,' thinks so.
AI in hemodynamic monitoring: the pulse of P4 medicine in the ICU
AI is uniquely able to find patterns in the complex multidimensional data of the intensive care unit. A third of ICU patients develop hemodynamic instability, resulting in a 40-59 percent mortality rate. Advanced dynamic hemodynamic monitoring, coupled with AI, presents a perfect opportunity for clinicians to peer into the future to prevent adverse events before they occur.
"Predicting the future is not magic, it's artificial intelligence." - Dave Waters
Models, models, models
Talk about models has always abounded, especially in recent years. AI models, ML models, statistical models, and others. People often use these terms in a very general sense, but what is a model, actually? The world deals with models unconsciously, all the time. Without them, people would have a hard time navigating their way through life.
Google’s AI will help the world by detecting diabetic retinopathy
Google has some of the most formidable AI capabilities in the world, though among their applications diabetic retinopathy is not the first that springs to mind. As diabetics are likelier to develop eye-related disorders and their numbers continue to grow worldwide, this is extremely valuable.
Modern telebehavioral health technologiesTelehealth services have evolved from simple Zoom conversations between medical professionals and patients to cover a much broader range of digital health services. In great demand among governments and patients, they are set to continue to proliferate and become ever more sophisticated as an effective means of cutting costs while helping patients better maintain and even improve their physical and cognitive health.
Saudi Arabia is likely to become a top 10 AI country - and most of the world has not noticedWhen people think of Saudi Arabia, they often think of its vast oil reserves and its role as one of the most important countries in the Islamic world, not to mention OPEC. Yet when it comes to AI, Saudi Arabia receives far less attention than the neighboring UAE, but in recent years it has been quietly building itself into an AI power to wean itself off oil and transform its capabilities.
AI to combat nursing churn
Amid the COVID-19 pandemic, nursing has been among the most stress-prone professions and also one of the hardest-hit by attrition. Using AI to identify and address some of the sources of this stress will enable nurses to do their jobs better and more efficiently, keep stress at much more manageable levels and prevent burnout.
Survival analysis of lung cancer patients in the North Central Cancer Treatment Group
Lung cancer is a leading killer. One of the best ways of treating and even preventing it is to study lung cancer patients and use mathematical models to identify trends and find out who is at higher risk and who has a better chance of survival. Such data will help medical professionals to better understand this disease and come up with more effective treatments.
Health messaging in the disinformation age
The spread of disinformation is akin to another pandemic, and poor communication and confusing, oft-changing advice from institutions like the US CDC make matters worse. Infectious disease expert William Haseltine looks at needful measures to rebuild trust, fight disinformation, and more effectively safeguard public health.
The Yuan favorites
Generic
In quest of a development plan for Asia
Can a region as complex and fast-changing as Asia devise and implement a comprehensive development plan? The Jakarta-based Economic Research Institute for ASEAN and East Asia, which just released its third 'Comprehensive Asia Development Plan,' thinks so.
Generic
China edges towards top-10 innovative economies as East Asia dominates in sci-tech
East Asia dominates the world in global science and technology clusters, or hubs, per the Global Innovation Index (GII) 2022. One major reason is success in promoting and support given to such clusters in the world’s second-largest economy and 11th most innovative one, China. This will have ramifications for innovation space across the globe and help improve scaling up science and technology innovations with implications on the 2030 UN Sustainable Development Goals.
Generic
Leveraging data for the public good
Social media and other major private sector players lead the way in using data and AI to provide more personalized, customized experiences, an approach which holds lessons for governments and policymakers around the world, though these authorities function in ways that fundamentally differ from businesses.
Generic
AI deployed to combat India's malnutrition
Economic growth has helped to cut poverty in India in recent decades, but malnutrition and undernourishment are still major stumbling blocks toward this goal, both further exacerbated by COVID-19. The country now seeks progress in this fight via use of AI and its plentiful data.
New era
AI in hemodynamic monitoring: the pulse of P4 medicine in the ICU
AI is uniquely able to find patterns in the complex multidimensional data of the intensive care unit. A third of ICU patients develop hemodynamic instability, resulting in a 40-59 percent mortality rate. Advanced dynamic hemodynamic monitoring, coupled with AI, presents a perfect opportunity for clinicians to peer into the future to prevent adverse events before they occur.
"Predicting the future is not magic, it's artificial intelligence." - Dave Waters
New era
Web 3.0 promises a democratic, decentralized future
In a future dominated by full automation, will the world be ready for the ‘fourth industrial revolution’ that will have a colossal, historical impact on the social contract in capitalist societies? The Yuan talked with Dr George Zarkadakis, Chief Innovation Officer at Syndesis Health (1) and author of ‘In Our Own Image: Will Artificial Intelligence Save us or Destroy Us?’ (Rider Books) (2) and ‘Cyber Republic: reinventing democracy in the age of intelligent machines’ (MIT Press) (3), to find out about democratizing the AI economy to smoothly transition to a future where wealth comes mostly from capital and know-how, not labor.
New era
Rethinking radiology by mixing AR, ML
The medical applications of virtual reality and augmented reality have received growing attention in recent years, enabling automated medical imaging and reducing costs and time spent.
New era
AI crime prevention tiptoes between enforcement, racism
Using AI to prevent crimes before they occur was until recently the stuff of sci-fi. It is now reality, however, but stirs up controversy galore over biased AI models that prompt wrongful arrests. Efforts are thus underway to make gumshoe AI more accurate, as Cambridge University researcher Claudia Schettini reveals.
Post-pandemic
Fixing the world’s public health data problem is critical
Issues of inadequate or missing data collection, and fragmented, incompatible health systems hampered the response to COVID-19 and threaten to do so in future outbreaks. Fortunately, several possible solutions could at least partly remedy this problem.
Post-pandemic
COVID experts have solutions for the aging immune system
During their studies of COVID-19 and the organ damage it can cause, experts have learned more about organs themselves, as well as the human immune system and immune responses to pathogens and are devising ways to slow or even reverse the decline in aging immune systems.
Post-pandemic
An automated machine learning COVID-19 pipeline
Researcher Parisa Naraei details how AI chatbots glean better data and attain fuller analyses, faster insights, and precision answers in the war against COVID-19 and relates the nuts and bolts of crafting these conversational AI apps.
Post-pandemic
AI gears up for future pandemics
Despite the global devastation and disruption caused by the COVID-19 pandemic, the situation might have been even worse without the help of AI. As the technology continues to grow and develop, it will also undoubtedly prove its worth in public health efforts to prevent potential pandemics, as well as in easing outbreaks that cannot be prevented or contained as easily.
Metaverse
Metaverse in medicine: hope or dope?
Much has been made of the Metaverse and its potential for change, and this is certainly so in healthcare. Amid all the hype, it is important to take a look at what the Metaverse actually is and what is now possible as this gives insights into which aspects have the most success, which have not, and what the future of the Metaverse in medicine and other fields is.
Metaverse
AI in complex environments: the metaverse
The metaverse has prompted a lot of hype in recent years, but what is it exactly? AI expert Ivana Bartoletti takes a closer look at what the technology entails, and how it will likely affect people’s lives in the years to come.
Metaverse
Imaginary Friends 3: ‘Capital Punishment?’
‘Artificial Intelligence’ and ‘Machine Learning’ depend on, among other things, the language used by humans. Four imaginary friends discuss the many uncertainties that creates.
Metaverse
Who will establish ethics for the metaverse?
Much has been made of the metaverse and its potential to change the world, though in many ways it is still a thing of the future. Some of its logistical hurdles and potentially negative aspects also need to be ironed out, as do misconceptions about what it actually is.
Optimization
Google’s AI will help the world by detecting diabetic retinopathy
Google has some of the most formidable AI capabilities in the world, though among their applications diabetic retinopathy is not the first that springs to mind. As diabetics are likelier to develop eye-related disorders and their numbers continue to grow worldwide, this is extremely valuable.
Optimization
AI detects Chagas disease with smartphones
Chagas disease, a disease affecting many tropical regions, is being targeted using a new AI technique for detecting it in blood samples, which also detects other diseases, and is practical and cost effective as well, meaning it holds great promise as a tool for tropical countries - most of which are low- or middle-income - to fight these diseases.
Optimization
Virtual care platforms are not created equal
This article is intended to inform investors of the most recent developments in healthcare technology, where I - as an expert in evaluating and using this technology - find value in virtual care platforms.
Optimization
Opening the black box of AI health applications
Many sophisticated AI models work in ways that are difficult or impossible for humans to comprehend, which is why transparency and explainability are important when deciding whether to accept recommendations made by these models. People must not blindly trust models they cannot fully understand.
Governance
ASEAN governments regulate AI Software as a Medical Device
The COVID-19 pandemic tested the efficiency of healthcare, especially in emerging markets like Indonesia, Malaysia, the Philippines, Thailand, and Vietnam. Most of the industry’s pain points are being solved and automated by AI, and these solutions continue to learn and evolve as they crunch reams of data, but the question remains: Are the regulations ready to catch up with fast-learning AI software in the market?
Governance
Public health funding today keeps the doctor away
America’s chronic underinvestment in public health and disease prevention left it poorly prepared for the onset of the COVID-19 pandemic, and as the pandemic begins to wane, such mistakes are being repeated as public health spending is being cut back. A more proactive approach is needed to improve Americans’ health, increase the country’s readiness for the next pandemic, and free up funds to be spent on other priorities.
Governance
Can AI and robots have rights, duties? The EU’s legal approach
Some researchers suggest so-called ‘electronic persons’ will surpass humans in intelligence by 2050, potentially rendering humans obsolete.This scenario prompts a needed discussion on whether a universal standard of rights and obligations must be devised for robots and artificially intelligent persons. This article will focus on the current legal approach proposed by the EU.
Governance
Ongoing AI governance initiatives and possible next steps
Regulation of AI systems and automated decision-making is gleaning more attention in global legislative, policy, regulatory and professional circles. The world is seeing a proliferation of initiatives as AI and Big Data support swift developments across almost every area - especially in health.
Community
In quest of a development plan for Asia
Can a region as complex and fast-changing as Asia devise and implement a comprehensive development plan? The Jakarta-based Economic Research Institute for ASEAN and East Asia, which just released its third 'Comprehensive Asia Development Plan,' thinks so.
|
Nov 30, 2022
China edges towards top-10 innovative economies as East Asia dominates in sci-tech
East Asia dominates the world in global science and technology clusters, or hubs, per the Global Innovation Index (GII) 2022. One major reason is success in promoting and support given to such clusters in the world’s second-largest economy and 11th most innovative one, China. This will have ramifications for innovation space across the globe and help improve scaling up science and technology innovations with implications on the 2030 UN Sustainable Development Goals.
|
Nov 22, 2022
Leveraging data for the public good
Social media and other major private sector players lead the way in using data and AI to provide more personalized, customized experiences, an approach which holds lessons for governments and policymakers around the world, though these authorities function in ways that fundamentally differ from businesses.
|
Nov 18, 2022
AI deployed to combat India's malnutrition
Economic growth has helped to cut poverty in India in recent decades, but malnutrition and undernourishment are still major stumbling blocks toward this goal, both further exacerbated by COVID-19. The country now seeks progress in this fight via use of AI and its plentiful data.
|
Nov 17, 2022
AI in hemodynamic monitoring: the pulse of P4 medicine in the ICU
AI is uniquely able to find patterns in the complex multidimensional data of the intensive care unit. A third of ICU patients develop hemodynamic instability, resulting in a 40-59 percent mortality rate. Advanced dynamic hemodynamic monitoring, coupled with AI, presents a perfect opportunity for clinicians to peer into the future to prevent adverse events before they occur.
"Predicting the future is not magic, it's artificial intelligence." - Dave Waters
|
Nov 29, 2022
Web 3.0 promises a democratic, decentralized future
In a future dominated by full automation, will the world be ready for the ‘fourth industrial revolution’ that will have a colossal, historical impact on the social contract in capitalist societies? The Yuan talked with Dr George Zarkadakis, Chief Innovation Officer at Syndesis Health (1) and author of ‘In Our Own Image: Will Artificial Intelligence Save us or Destroy Us?’ (Rider Books) (2) and ‘Cyber Republic: reinventing democracy in the age of intelligent machines’ (MIT Press) (3), to find out about democratizing the AI economy to smoothly transition to a future where wealth comes mostly from capital and know-how, not labor.
|
Nov 23, 2022
Rethinking radiology by mixing AR, ML
The medical applications of virtual reality and augmented reality have received growing attention in recent years, enabling automated medical imaging and reducing costs and time spent.
|
Nov 21, 2022
AI crime prevention tiptoes between enforcement, racism
Using AI to prevent crimes before they occur was until recently the stuff of sci-fi. It is now reality, however, but stirs up controversy galore over biased AI models that prompt wrongful arrests. Efforts are thus underway to make gumshoe AI more accurate, as Cambridge University researcher Claudia Schettini reveals.
|
Nov 11, 2022
Fixing the world’s public health data problem is critical
Issues of inadequate or missing data collection, and fragmented, incompatible health systems hampered the response to COVID-19 and threaten to do so in future outbreaks. Fortunately, several possible solutions could at least partly remedy this problem.
|
Aug 29, 2022
COVID experts have solutions for the aging immune system
During their studies of COVID-19 and the organ damage it can cause, experts have learned more about organs themselves, as well as the human immune system and immune responses to pathogens and are devising ways to slow or even reverse the decline in aging immune systems.
|
Aug 11, 2022
An automated machine learning COVID-19 pipeline
Researcher Parisa Naraei details how AI chatbots glean better data and attain fuller analyses, faster insights, and precision answers in the war against COVID-19 and relates the nuts and bolts of crafting these conversational AI apps.
|
Aug 03, 2022
AI gears up for future pandemics
Despite the global devastation and disruption caused by the COVID-19 pandemic, the situation might have been even worse without the help of AI. As the technology continues to grow and develop, it will also undoubtedly prove its worth in public health efforts to prevent potential pandemics, as well as in easing outbreaks that cannot be prevented or contained as easily.
|
Jul 11, 2022
Metaverse in medicine: hope or dope?
Much has been made of the Metaverse and its potential for change, and this is certainly so in healthcare. Amid all the hype, it is important to take a look at what the Metaverse actually is and what is now possible as this gives insights into which aspects have the most success, which have not, and what the future of the Metaverse in medicine and other fields is.
|
Nov 02, 2022
AI in complex environments: the metaverse
The metaverse has prompted a lot of hype in recent years, but what is it exactly? AI expert Ivana Bartoletti takes a closer look at what the technology entails, and how it will likely affect people’s lives in the years to come.
|
Sep 28, 2022
Imaginary Friends 3: ‘Capital Punishment?’
‘Artificial Intelligence’ and ‘Machine Learning’ depend on, among other things, the language used by humans. Four imaginary friends discuss the many uncertainties that creates.
|
Sep 21, 2022
Who will establish ethics for the metaverse?
Much has been made of the metaverse and its potential to change the world, though in many ways it is still a thing of the future. Some of its logistical hurdles and potentially negative aspects also need to be ironed out, as do misconceptions about what it actually is.
|
Sep 06, 2022
Google’s AI will help the world by detecting diabetic retinopathy
Google has some of the most formidable AI capabilities in the world, though among their applications diabetic retinopathy is not the first that springs to mind. As diabetics are likelier to develop eye-related disorders and their numbers continue to grow worldwide, this is extremely valuable.
|
Nov 26, 2022
AI detects Chagas disease with smartphones
Chagas disease, a disease affecting many tropical regions, is being targeted using a new AI technique for detecting it in blood samples, which also detects other diseases, and is practical and cost effective as well, meaning it holds great promise as a tool for tropical countries - most of which are low- or middle-income - to fight these diseases.
|
Nov 24, 2022
Virtual care platforms are not created equal
This article is intended to inform investors of the most recent developments in healthcare technology, where I - as an expert in evaluating and using this technology - find value in virtual care platforms.
|
Nov 14, 2022
Opening the black box of AI health applications
Many sophisticated AI models work in ways that are difficult or impossible for humans to comprehend, which is why transparency and explainability are important when deciding whether to accept recommendations made by these models. People must not blindly trust models they cannot fully understand.
|
Nov 09, 2022
ASEAN governments regulate AI Software as a Medical Device
The COVID-19 pandemic tested the efficiency of healthcare, especially in emerging markets like Indonesia, Malaysia, the Philippines, Thailand, and Vietnam. Most of the industry’s pain points are being solved and automated by AI, and these solutions continue to learn and evolve as they crunch reams of data, but the question remains: Are the regulations ready to catch up with fast-learning AI software in the market?
|
Nov 04, 2022
Public health funding today keeps the doctor away
America’s chronic underinvestment in public health and disease prevention left it poorly prepared for the onset of the COVID-19 pandemic, and as the pandemic begins to wane, such mistakes are being repeated as public health spending is being cut back. A more proactive approach is needed to improve Americans’ health, increase the country’s readiness for the next pandemic, and free up funds to be spent on other priorities.
|
Oct 04, 2022
Can AI and robots have rights, duties? The EU’s legal approach
Some researchers suggest so-called ‘electronic persons’ will surpass humans in intelligence by 2050, potentially rendering humans obsolete.This scenario prompts a needed discussion on whether a universal standard of rights and obligations must be devised for robots and artificially intelligent persons. This article will focus on the current legal approach proposed by the EU.
|
Sep 30, 2022
Ongoing AI governance initiatives and possible next steps
Regulation of AI systems and automated decision-making is gleaning more attention in global legislative, policy, regulatory and professional circles. The world is seeing a proliferation of initiatives as AI and Big Data support swift developments across almost every area - especially in health.
|
Sep 19, 2022
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