Track / Overview

Innovative technologies from the field of Natural Language Processing (NLP) enable augmented intelligence applications in the field of health and psychology. In this track, we explore solutions from practice that already employ such technologies, or promising approaches from research targeting the application in practice, with the scope of bridging the gap between Natural Language Processing technology research and the clinical environments.

Introducing NLP and AI techniques in medicine is not just a technological goal to further advance automation in this field. On the contrary its main motivation is to augment humans themselves to ameliorate their medical decision processes in the most natural way possible. Consequently, the NLP and AI systems that we deploy in practice need not only provide our doctors with more accurate and timely advice, but they should try to do so in a non-obstructive way (compared to traditional time- consuming and bureaucratic processes). This is of course the case, when we want to enable our doctors to focus their attention on what matters the most: their patients. Summarized in a short sentence: Medical NLP & AI should be safe, ubiquitous and transparent to its users, so that medical treatment itself becomes more humane. This is a concrete goal that is being put forward by a growing community of medical practitioners that see AI and NLP as an opportunity to augment the time and quality of doctor/patient interactions in practice.

Augmented intelligence applications based on Natural Language Processing technologies to be applied to psychology and psychiatric use cases are an up-coming topic in research. Furthermore, different products are already on the market, in both Europe and the USA. For example, it has been shown that NLP methods can be promising for analyzing narrative notes for prediction in the field of psychiatric readmission or computerized cognitive behavioral therapy, enabling interdisciplinary projects between researchers and practitioners from different domains. 

This track aims to connect researchers, practitioners and start-ups interested in this area and discuss the current state-of-the-art of (applied) research and applications in the field.

Track / Schedule


With Souhir Ben Souissi, Alexandre Puttick & Mascha Kurpicz-Briki

Natural Language Processing in Neuropsychiatry

With Neguine Rezaii

From Real World Data to Next Generation Mental Healthcare

With Valentin Tablan


Text Data in Medicine

With Violeta Vogel

Tracking Discourses on Antibiotic Resistance with Corpus Linguistic Methods

With Julia Krasselt

Obtaining Insights for the Emotional Well-Being of Cancer Patients by the Use of NLP on their Social Media and Browser History

With Georgia Pantalona

Towards Exploiting Automatic Speech Recognition Error For Generating Synthetic Clinical Speech Data

With Hali Lindsay

Causal Analysis of Mental Health Issues in Social Media Posts

With Muskan Garg


With Souhir Ben Souissi, Alexandre Puttick & Mascha Kurpicz-Briki

Track / Speakers

Mascha Kurpicz-Briki

Deputy Head, Applied Machine Intelligence, Bern University of Applied Sciences

Souhir Ben Souissi

Tenure Track Professor, BFH

Alexandre Puttick

Post-doc, BFH

Valentin Tablan

Chief AI Officer, ieso

Julia Krasselt

Dr. phil., ZHAW

Neguine Rezaii

Instructor, Harvard Medical School

Violeta Vogel

Head of Insel Data Science

Georgia Pantalona

Research Associate, CERTH/ITI

Hali Lindsay

M.Sc., German Research Center for Artificial Intelligence

Muskan Garg

Assistant Professor, TIET

Track / Co-organizers

Mascha Kurpicz-Briki

Deputy Head, Applied Machine Intelligence, Bern University of Applied Sciences

Souhir Ben Souissi

Tenure Track Professor, BFH

Alexandre Puttick

Post-doc, BFH

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners