Fraunhofer Institute for Cognitive Systems IKS
Fraunhofer Institute for Cognitive Systems IKS

Dr. Narges Ahmidi

Former Department Head »Reasoned AI Decisions« at Fraunhofer IKS

Dr. Narges Ahmidi, Former Department Head »Reasoned AI Decisions« at Fraunhofer IKS
© Fraunhofer IKS
Dr. Narges Ahmidi, Former Department Head »Reasoned AI Decisions« at Fraunhofer IKS

Dr. Narges Ahmidi studied Artificial Intelligence and medical robotics at the Johns Hopkins University (JHU), USA.

After completion of her PhD, she founded and directed the »AI for Patient Diagnosis and Treatment« research laboratory at the Helmholtz Munich Center, Institute for Computational Biology (ICB). She then joined Fraunhofer IKS as Head of the Department of »Reasoned AI Decisions«. In parallel, she holds an adjunct faculty position at the JHU Malone Center for Engineering in Healthcare and a group leader position at ICB.

Her research focus is on trustworthy AI, especially on causally-informed predictive models, reliable decision support for both humans and AI, and validation metrics geared towards expert user expectations.

 

You want to learn more about Dr. Narges Ahmidi? Then read her portrait on our Safe Intelligence Blog:

Publications

Dr. Narges Ahmidi is the author of numerous scientific publications. You can find an overview here:

Further activities

In addition to her work at Fraunhofer IKS, Dr. Narges Ahmidi also holds the following positions:

Events

Events at which Dr. Narges Ahmidi has given presentations:
 
 

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Our AI in medicine
services

Find out everything about the core competencies and services of Fraunhofer IKS in the field of AI in medicine here. Dr. Narges Ahmidi looks forward to receiving your request.

To the service overview

Articles by and with Dr. Narges Ahmidi

Here you will find recent articles that Dr. Narges Ahmidi has written for various media or for which she has been interviewed. Read on directly.

Apotheken Umschau

Artificial intelligence: Doctor AI - could you handle this?

When hearing the term "AI", many people think of ChatGPT, which has generated a lot of hype recently. When it comes to medicine, other AI systems are used. What are their capabilities and what are their limitations? That's the subject of this article from Apotheken Umschau, which features Dr. Narges Ahmidi, among others.

to the article (german)
 

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Kassenärztliche Vereinigung Thürigen

"No good doctor needs to fear being replaced by AI"

What is the potential of artificial intelligence in medicine? And what are the risks associated with AI? The member magazine of the Association of Statutory Health Insurance Physicians in Thuringia (Kassenärztliche Vereinigung Thüringen kvt) spoke with Dr. Narges Ahmidi about this. Read the interview here:

To the article (German)

Good Impact

How do we use AI for traffic and medicine

AI has become indispensable in many fields. But what can it really do, how can we use it, and where is it overestimated by the public?

Dr. Narges Ahmidi answers the question of how we can use AI for medicine for Good Impact. Read the answer on the linked page at the very bottom.

To the article (German)
 

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Deutsches Ärzteblatt

ChatGPT: Not yet a panacea

AI programs like ChatGPT can also turn things around in medicine. The Deutsche Ärzteblatt spoke among others with Dr. Narges Ahmidi, head of the department Reasoned AI Decisions at Fraunhofer IKS, about the potential, but also the current weaknesses of AI in medicine.

To the article (German)

Digitale Welt Magazin

Artificial Intelligence in action for our well-being

In the field of medicine in particular, we are dealing with an enormous amount of data. For a long time now, no doctor has been able to survey this abundance alone. Here, Artificial Intelligence with its strong computing ability offers quick solutions. But that's not all: Artificial Intelligence is a fundamental factor in diagnostics, but also in the logistics of a hospital. Even in operations and new instruments, Artificial Intelligence is an increasingly important factor.

Read more about this in Digitale Welt Magazin.

To the article
 

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kma - Klinik Management aktuell

AI in medicine: data-hungry helpers in the background

The term artificial intelligence is on everyone's lips. For some years now, medical products based on AI algorithms have been finding their way into hospitals. But what exactly is behind this technology, what opportunities and also risks does it present? A look at a field of research that promises much for the future.

To the article (German)

Kompass Dermatologie

AI in medicine: Getting to grips with uncertainty

In the near future, medical engineering will be shaped by artificial intelligence and machine learning. However, the complex processes involved in machine learning create a problem for researchers — it is costly and challenging to eliminate errors before autonomous systems are put into use, and to reliably detect errors during operation. This currently limits the use of machine learning and artificial intelligence in safety-critical systems, including in medicine, and requires new approaches in order to continue to benefit from the advances of this technology in the future.

To the article (German)
 

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Safe Intelligence Magazin

Healthy with Safe Intelligence

These are four areas in which artificial intelligence can make a particular contribution to making life easier for medical staff, improving treatment for patients, and enabling medical technology companies to provide better service. Learn more in the Safe Intelligence Magazine of Fraunhofer IKS (German).

To the article (German)

Blog articles by and about Dr. Narges Ahmidi

On our blog you will find numerous articles by our colleagues about the research topics of Fraunhofer IKS. Here are the blog articles by and about Dr. Narges Ahmidi:

 

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Medicine / 26.6.2023

Artificial intelligence in healthcare

Artificial intelligence (AI) now plays an important role in the field of medical research. The article reviews the principles of AI, provides real-world examples, and points out the importance of algorithm reliability, robustness, and efficiency, which must be verified through rigorous testing and validation.

AI in healthcare (German)
 

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MedTech

AI helps understand medical problems

Where humans get stuck, artificial intelligence can sometimes help: for example, in the treatment of patients suffering from coronary heart disease (CHD).

AI in medicine (German)
 

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International Women's Day 2022

Equality in science

Equal opportunities for women do not come about by themselves; we have to work for them. In science, too, there is still a long way to go to achieve equal rights.

Equality (German)
 

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Artificial intelligence

Getting to grips with uncertainty

In the near future, medical engineering will be shaped by artificial intelligence and machine learning. However, the complex processes involved in machine learning create a problem for researchers — it is costly and challenging to eliminate errors before autonomous systems are put into use, and to reliably detect errors during operation.

Uncertainty
 

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Online seminar

Safe Intelligence for Laboratories

Many current clinical decision support (CDS) expert systems in laboratories have come under criticism. The reasons: Difficulties in scaling, constant scrutiny from a medical perspective, and limited data cases. The online seminar "Safe Intelligence for Laboratories" hosted by Fraunhofer IKS highlighted the potential applications and challenges of AI in laboratories.

Safe Intelligence for Laboratories (German)