Artificial Intelligence In Health

While building that robust evidence base and showing proof of concept launching pilot studies, how can we move further along to this product in practice implementation of AI ? That ...

Dermatology has been among the first in generating evidence and a robust evidence base for Telehealth to: develop technology and innovation increase access and appropriateness to measure outcomes. However, there ...

Telehealth vs Telemedecine The pandemic has catalyzed the adoption of telehealth. “Telehealth” refers to a broader scope of remote health care services than telemedicine. Telemedicine refers specifically to remote clinical ...

When we think about effective use of Artificial intelligence (AI), we want to be able to measure meaningful outcomes and assess how it actually performs in the real world. This ...

How do we move from our proof of concept then, to a product in practice using AI in dermatology ? For this we need to ask the right questions after ...

How can AI add value for the patient and policy makers ? According to the value equation of healthcare it is: proportionally dependent on the quality and the service of ...

Human-centered AI can be defined as putting the Human at the centre of solutions using AI: AI adds input. Through this synergistic relationship, the impact on humanity can be maximized ...

The concept of explainability is a very hot topic in artificial intelligence (AI). Explainability is the concept of how well you understand how a model makes decisions This is often ...

Data is the critical component of developinf solutions using Artificial Intelligence. Data can me divided into 3 types of datasets: a training set which is how the machine learning model ...

In much of the Artificial Intelligence subset called machine learning (ML), the term “ground truth” is used – this is a concept that allows us to assess the accuracy and ...

In the last few years, artificial intelligence has been likened to the fourth Industrial Revolution. During the Covid19 pandemic, digital transformation occurred at an accelerated pace. Augmented intelligence (AuI): It ...

How are patients feeling about computer algorithms getting deployed in Health Solutions using Artificial Intelligence (AI) ? In this study done by Caroline Nelson and colleagues, the authors surveyed some ...

We commonly visualize the classical Artificial Intelligence (AI) Dichotomy: “man versus machine” This is fostered by a lot of popular culture, like the AI on Jeopardy or Deep Blue playing ...

In 2019, there was a position statement by the American Academy of Dermatology on Augmented Intelligence (AuI) that came out. The goals they mentioned in this specifically said that we ...

Precision Precision in an AI model is the equivalent of a positive Positive Predictive value (PPV). PPV is the proportion of true positive tests out of all positive tests. (odds ...

Model Models are the result of the answering of a problem using data to answer s specific question (For example: recognize impetiginization over scabies: the data would then consist of ...

What is personalized medicine ? When medicine is informed solely by clinical practice guidelines, however, the patient is not treated as an individual, but rather as member of a group. ...

The training of a model is influenced by: The amount and quality of Data it receives. The Processing Power: it is more expensive than you think and effective methods are ...

Overfitting Overfitting occurs when the model is accurate with the data it is supplied to predict and the model is quite accurate, so the training set and validation set agree. ...

Backpropagation is the name of the technique. This technique is the hallmark of supervised learning, that is when the data is labelled. The data provided reaches the output layer of ...

Explainability is of upmost importance in health in general for explaining the benefit of the patient…and not the least gaining his or her trust. Explainability concerns the algorithmic solution and ...

Artificial Neural Networks (ANN), are the learning mechanism of machine learning models. They are supposed to replicate the functioing of the brain and consist of “neurons” or nodes who are ...

An algorithm is basically a rule. The term is derived from a Persian scholar in the 9th century (Muhammad ibn Musa al-Khwarizmi). The term has been adulterated and was called ...

Here is the definition from investopedia:” deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, ...

Artificial intelligence (AI) in dermatology currently refers in practice essentially to a very high statistical computing tool. (Little AI) With the advent of high processing power and storage capacity it ...

The key to a great story is not who, or what, or when, but why. (Elliott Carver, Tomorrow Never Dies) With respect to the deployment of AI models, perhaps the ...

The adage goes: garbage in garbage out, and this is especially true for machine learning models, since this data sets on which the models are trained and validated, are essential ...

Many patients are supportive of the use of their data to improve healthcare and research, especially when it’s in the hands of trusted physicians, medical professionals and researchers….but they feel ...

Let’s apply 2 medical ethics principles on data and discuss some conclusions Beneficence One application of this principle to clinical data like dermatologic images, is that on an individual level ...

In terms of data, nowadays a fact that data is of great value. It can be traded and used as a currency to access entertainment or other services…if it’s free: ...