Kolloquium: Systematic Literature Reviews with AI in Medicine - Details

Allgemeine Informationen

Veranstaltungsname	Kolloquium: Systematic Literature Reviews with AI in Medicine
Semester	WS 2025/26
Aktuelle Anzahl der Teilnehmenden	17
erwartete Teilnehmendenanzahl	24
Heimat-Einrichtung	Universitätsbibliothek
Veranstaltungstyp	Kolloquium in der Kategorie Lehre
Erster Termin	Donnerstag, 04.09.2025 09:00 - 12:00, Ort: (Schulungsraum Teilbibliothek Medizin (04.024))
Art/Form	Workshop
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Ja
Hauptunterrichtssprache	englisch

Lehrende

• Heike Silva Cardoso, da
• Ph.D. Ennio Idrobo-Àvila
• Nicolas Kusser
• Dr. Evamaria Krause

Räume und Zeiten

(Schulungsraum Teilbibliothek Medizin (04.024))

Donnerstag, 04.09.2025 - Freitag, 05.09.2025 09:00 - 12:00

Studienbereiche

• Medizinische Fakultät > Medizininformatik
• Fakultät für Angewandte Informatik
• Medizinische Fakultät > 11. Semester
• Medizinische Fakultät > 12. Semester
• Medizinische Fakultät > Forschung

Kommentar/Beschreibung

This seminar equips students and researchers in medicine and related disciplines with the methodological and practical expertise to plan, conduct, and document systematic literature reviews in accordance with international standards such as PRISMA 2020. The course begins with an introduction to exploratory reviews and gap analysis, enabling participants to map the existing research landscape and identify areas where evidence is lacking. Building on these insights, participants will learn to refine their research focus and formulate precise, answerable research questions that provide the foundation for a rigorous review. It is designed for students, doctoral candidates and researchers who wish to strengthen their methodological skills and enhance the quality and impact of their research.

A further core element is the development of a well-structured protocol ensuring transparency and methodological clarity from the outset. Participants will then acquire advanced search skills for medical databases, learning comprehensive search strategies that aim to capture all relevant literature. Special attention is given to the use of AI-based tools to support the various steps of the process, optimising efficiency while maintaining scientific rigor.

Through a combination of theoretical input, methodological guidance, and hands-on exercises, this seminar is intended to prepare participants to produce systematic reviews that are methodologically sound, strategically focused, and capable of forming a reliable basis for scientific work and publications.