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MEDICINE · SCIENTIFIC COMPUTING · AI

Dr Alain Tenenbaum

Portrait du Dr Alain Tenenbaum

Physician, Doctor of Sciences, recipient of the Silver Medal of the Faculty of Medicine in Paris, former Associate Professor of Computer Science at the Faculty of Medicine in Nancy (1984–1989), and creator of medical digital platforms. Connecting scientific foundations dating to 1983 with practical AI, agents and professional education.

Swiss companyMedical computing & teachingHuman supervision

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Concept illustration combining a vintage oscilloscope with a modern statistical point cloud
Concept illustration of scientific computing; not an archival photograph of the 1983 thesis.

THE ESSENTIALS

In 30 seconds

  • Studied artificial intelligence in medicine and expert systems in 1983.
  • Thesis work combined hearing-loss research, signal processing, PCA, discriminant analysis, FORTRAN, C and decision analysis.
  • Associate Professor of Computer Science (professeur associé d’informatique), Faculty of Medicine in Nancy, under Professor Kohler, from 1984 to 1989.
  • Today: medical digital platforms, premium domain assets, AI-assisted translation and supervised AI workflows, illustrated by AestheticMedicine.com, Myomodulation.com and ChemicalPeeling.com.
  • International congress speaker; scheduled moderator of the DASIL 2026 plenary session on dermatologic diagnostics and AI (October 23, Kochi, India).
  • Conference formats for insurance and hospital executives, and for physicians, dentists and veterinarians.

AI in medicine: foundations in 1983

Dr Alain Tenenbaum's interest in artificial intelligence in medicine began in 1983, with the study of expert systems, knowledge representation and computer-assisted decision-making. His background connects medical reasoning with mathematical analysis and programming.

University teaching in Nancy · 1984–1989

From 1984 to 1989, Dr Alain Tenenbaum served as Associate Professor of Computer Science (professeur associé d’informatique) at the Faculty of Medicine in Nancy, under Professor Kohler. This university teaching experience connects his scientific work with the transmission of computing concepts to a medical audience.

1983 thesis: medicine, physics and hearing loss

His thesis work in medicine and physics examined principal component analysis applied to hearing loss in aviators. The research brought together specialised signal processing, biomathematics, biostatistics and decision analysis.

Signal processing

Analyse measurements and transform signals into information that can be examined and interpreted.

Biomathematics & biostatistics

Use principal component analysis and discriminant analysis to study patterns and distinguish groups.

FORTRAN & C

Program the computational methods used in the thesis work.

Decision analysis

Structure the path from evidence and analytical results to a reasoned decision.

From decision support to today's agents

This work belongs to the scientific foundations that informed later AI-based decision support: selecting relevant information, analysing it, evaluating alternatives and supporting an action. Decision analysis is a conceptual precursor to parts of modern agent design; it is not, by itself, an autonomous AI agent.

The same discipline matters today: define the objective, know the data, make the reasoning inspectable, test the result and decide when a professional must take over.

Medical knowledge meets digital architecture

At Styling Cosmetics AG, Dr Alain Tenenbaum combines medical understanding with website strategy, Joomla administration, structured content and multilingual digital ecosystems. The published company profile describes more than 30 specialised medical portals used for scientific communication and education.

AestheticMedicine.com · Premium digital assets

A recently reworked platform presenting premium domain names for sale as digital assets. It illustrates his approach to structuring a commercial offer, explaining domain positioning and connecting medical knowledge with digital strategy.

Myomodulation.com · Specialised medical knowledge, AI & multilingual access

A recently reworked medical platform combining specialised scientific and educational knowledge with AI and multilingual access. It connects medical expertise and structured content with AI-assisted translation, making specialised information accessible across languages while retaining professional review of medical terminology and meaning.

ChemicalPeeling.com · Specialised medical knowledge, AI & multilingual access

A recently reworked medical platform combining specialised scientific and educational knowledge with AI and multilingual access, including AI-assisted translation through AI Translate. It connects medical expertise and structured content with tools that support access across languages, with professional review of medical terminology and meaning.

These projects provide concrete material for demonstrations: what was built, which task each tool performs, and where human supervision remains essential. AI-assisted translation, conversational assistants and agents executing several steps are explained as distinct capabilities.

Collaborations & professional networks

Dr Alain Tenenbaum works closely with Mauro Tiziani on web design and visual creation, alongside computing and AI collaborators in Turkey and India. These complementary skills connect medical experience with digital design, academic exchange, software development and specialised AI applications.

Portrait of Mauro Tiziani

Mauro Tiziani · Web design, AI imagery & Photoshop

Mauro Tiziani is Dr Alain Tenenbaum’s collaborator and the web designer of all their websites. He has developed his skills through practical experience since 2007, shaping the visual identity and presentation of their medical and digital platforms.

His current work also includes crafting prompts for AI image generation, then retouching and finalising the visuals in Photoshop. This combination of web design, visual direction, AI prompting and image editing complements Dr Tenenbaum’s medical expertise and digital strategy.


Portrait of Cihat Okan Arikan

Associate Professor Dr Cihat Okan Arikan · Ege University, İzmir, Turkey

Dr Alain Tenenbaum collaborates closely with Associate Professor Dr Cihat Okan Arikan on computing and AI topics. Ege University’s official directory lists him as an academic member and acting head of its IT department.

Ege University official directory


Portrait of Dhiraj Sharma

Dhiraj Sharma · Medical imaging and AI, Mumbai, India

Their collaboration concerns AI agents for radiologists and medical imaging. Dhiraj Sharma works with the Intelerad team, now within GE HealthCare following the acquisition completed in March 2026.

GE HealthCare’s announcement of the Intelerad acquisition


Joomla Verband Schweiz · Swiss Joomla association

Dr Alain Tenenbaum is a member of Joomla Verband Schweiz, the Swiss Joomla association, within the wider DACH community connecting Joomla professionals across Germany, Austria and Switzerland.

Joomla Verband Schweiz — official website

What this brings to your AI project

  • A medical perspective on the meaning and limits of information.
  • A quantitative foundation in signals, statistical analysis and decision-making.
  • Programming experience rooted in scientific computation and university teaching in Nancy (1984–1989).
  • A managed Joomla environment with defined roles and human supervision.

The current service offer focuses on designing and implementing AI assistants and controlled workflows for healthcare organisations and Swiss insurance or pension providers serving doctors, dentists and veterinarians.

International congress speaking experience

Dr Alain Tenenbaum has delivered congress presentations on AI and digital medical practice at international meetings, including MEIDAM in Dubai, SIME in Rome and EAFPS in Verona. His experience combines presenting practical digital topics to medical audiences with chairing scientific discussions.

DASIL logo

DASIL 2026 · Kochi, Kerala, India

Scheduled moderator · October 23, 2026 · 09:00–10:00, local time. The preliminary programme lists Dr Alain Tenenbaum and Dr Edmond Lau as moderators of the Medical Plenary Session Dermatologic Diagnostics and AI, in Plenary Room 1. The congress takes place October 22–24, 2026.

Official DASIL programme page · Preliminary programme, updated October 6, 2026 · PDF page 10

EAFPS logo

EAFPS 2023 · Verona, Italy

Speaker · September 17, 2023 · 12:00–12:10, local time. The final programme lists his presentation Advantages and Disadvantages of an App vs Social Medias for a better SEO (Search Engine Optimization), within the Social Media and Business session. This published reference documents his teaching on applications and digital medical communication.

EAFPS 2023 · final programme, printed page 28

SIME — Società Italiana di Medicina Estetica

SIME 2023 · Rome, Italy

Speaker · May 20, 2023. The programme of the 44th Congress of the Italian Society of Aesthetic Medicine lists his presentation Utilità, vantaggi e inconvenienti di avere una App (the usefulness, advantages and drawbacks of having an app), in Sala S. Maggiori.

SIME 2023 · official scientific programme, PDF page 38

MEIDAM logo

MEIDAM · Dubai, United Arab Emirates

His international congress experience also includes MEIDAM in Dubai, where he has presented on AI and digital topics. MEIDAM publishes his professional profile on its official website.

MEIDAM · official profile of Prof. Alain Tenenbaum

Conferences on AI and agents

Two complementary formats can be tailored to the audience, combining accessible explanations with examples from his own digital platforms.

For insurance and hospital executives

Understand what AI assistants and agents can do, assess useful organisational applications, and discuss information quality, confidentiality, human supervision and the conditions for adoption. Examples can address documentation, multilingual communication and structured workflows.

For physicians, dentists and veterinarians

Discover practical applications for professional documentation, educational communication, multilingual content and practice organisation. Demonstrations explain how the tools work, how to review their output and how to recognise their limits.

The aim is to give each audience a clear understanding of the possibilities, grounded in medical experience, university teaching and current digital projects.

CLEAR ANSWERS

Frequently asked questions

When did Dr Tenenbaum begin studying medical AI?

In 1983, with the study of artificial intelligence in medicine and expert systems.

Which methods were used in his 1983 thesis work?

Signal processing, biomathematics and biostatistics, including principal component analysis and discriminant analysis, programming in FORTRAN and C, and decision analysis.

Was the thesis itself an autonomous AI agent?

No. Its decision-analysis approach is a conceptual precursor to parts of modern AI decision support and agent design, rather than a claim of an autonomous agent built in 1983.

Which historical reference is included in this profile?

Marius Fieschi’s Intelligence artificielle en médecine : des systèmes experts, published by Masson in 1984, is included as a reference to the early development of medical AI.

LET’S BUILD SOMETHING USEFUL

Discuss a conference or AI project

For a conference, tell us about your audience, the topics you wish to explore and the desired format. For an AI project, describe your organisation and one workflow you want to improve. We will discuss relevant demonstrations, objectives and the appropriate level of human supervision.

Please send only non-confidential information through the general contact form.

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