-Definition and practical requirements
-Examples of projects in the areas of image analysis, remote patient monitoring, and predictive analytics in healthcare
-Addressing hurdles such as data heterogeneity, scalability and communication complexity, data protection and security risks, and regulatory compliance
-Integration into existing healthcare systems
-How generative AI can address fundamental challenges of AI in healthcare, including limited data sets and privacy restrictions.
-The potential of synthetic medical images to support fairer and more generalizable models and improve diagnostic workflows in radiology and oncology.
-Current limitations and open challenges in evaluating generative models, including clinical relevance, realism, and unintended artifacts.
-Biographical work supported by AI helps nursing home residents and caregivers.
-Experience in the use of AI in nursing and the development of a digital nursing application.
-Collaboration with nursing facilities and academic institutions
-Improve patient experience and outcomes. What AI applications exist and what are their prospects?
-Applications in preventive diagnostics, radiology, emergency rooms, digital twins, and more.
-Treatment optimization, data-driven decisions, predictive analytics, challenges with data protection and other regulations, and handling of health data.
-Quality of life is a complex, multidimensional concept that is difficult to measure continuously using conventional methods.
-Voice biomarkers offer a promising alternative, as voice production is highly complex and sensitive to changes in physical and mental health.
-A machine learning model was developed to analyze voice characteristics and objectively assess quality of life.
-Due to the complex data structure, a quantum-based machine learning model was also investigated to capture deeper patterns.
This masterclass will explore the transformative power of artificial intelligence in healthcare. We will discuss the current applications,
challenges, and future potential of AI technologies to improve patient care and management.
-AI diagnostic support: Using AI for improved diagnostics and early detection of diseases.
-Personalized treatment plans: Using AI to create individualized treatment strategies based on patient data.
-Operative workflow optimization: AI-supported automation of administrative and clinical processes.
-Case studies from various fields: oncology, ophthalmology, and predictive care.
-Data protection and ethical considerations: Discussion of ensuring data protection and ethical aspects when using AI in healthcare.
After a day of insightful sessions and valuable learning, we invite you to relax and network at our drinks reception in the H10 Berlin Ku’damm (H10 Berlin Ku’damm, Joachimsthaler Str. 31-32, 10719 Berlin).
Join us on the terrace of the Spanish hotel for a fusion of BBQ and Tapas and for a refreshing evening of conversation and connection. It’s the perfect opportunity to wind down and enjoy the company of fellow attendees.
*Please note we require a registration for the evening gathering. Please use the checklist that has been shared with you to confirm your attendance.
Abschalten und Kontakte knüpfen: Drinks Reception auf der H10 Berlin Ku’damm Terrasse
Nach einem Tag voller aufschlussreicher Präsentationen und wertvoller Erkenntnisse laden wir Sie herzlich ein, bei unserem Umtrunk im H10 Berlin Ku’damm (H10 Berlin Ku’damm, Joachimsthaler Str. 31-32, 10719 Berlin) zu entspannen und mit anderen Industrieexperten Kontakte zu knüpfen.
Begleiten Sie uns auf der Terrasse des spanischen Hotels zu einer Fusion aus BBQ und Tapas und einem erfrischenden Abend voller Gespräche und Austausch. Dies ist die perfekte Gelegenheit, den Tag ausklingen zu lassen und die Gesellschaft der anderen Teilnehmer zu genießen.
*Bitte beachten Sie, dass eine Anmeldung für das abendliche Veranstaltung erforderlich ist. Bitte nutzen Sie die Ihnen zugesandte Checkliste, um Ihre Teilnahme zu bestätigen