Congress Agenda

Day 1: 6 October 2023 (Central European Time)

13:00 – 14:00

Scientific Session A: Innovations in the Field of Diagnostics, AI & ML

From AI-driven population medicine to population well-being: The MUSA approach

Prof. Ernesto Damiani

Università degli Studi di Milano, Milano, Italy

14:00 – 15:00

Scientific Session B: Ethical and Regulatory Considerations for AI and ML in Diagnostics Session

Ethical considerations, inclusion, biases and data protection for augmented intelligence in Medical Imaging in the era of Generative AI

Dr Muhammad Umair

The Johns Hopkins Hospital, Baltimore, MD, USA

15:00 – 16:00

Scientific Session C: Automated Diagnostics using AI-based Techniques

AI & ML in the Diagnosis and Treatment of Ophthalmic Disease

Prof. Bhupendra G. Prajapati

Ganpat University, Shree S.K.Patel College of Pharm. Edu. & Research, Gujarat, India

16:00 – 17:00

Scientific Session D: AI-based Predictive Diagnostics

Machine Learning for the Prediction of Antimicrobial Susceptibility in Subjects Receiving Inpatient or Outpatient Care

Ing. Marco Benedetto

Department of Management and Innovation Systems, University of Salerno, Fisciano, Italy

17:00 – 18:00

Scientific Session E: AI and Machine Learning in Medical Imaging Diagnostics

Improving the interpretation of radiology images via multi-modal machine learning

Dr Mirabela Rusu

Department of Radiology, Stanford University, Stanford, California, USA

18:30 – 19:00

Scientific Satellite Symposium F:

Leveraging Antibody Drug Conjugates in the care of Patients with Metastatic Urothelial Carcinoma; Potential for Immunotherapy Combination Treatment

Prof. Yousef Zakharia
The University of Iowa and Holden Comprehensive Cancer Center, Iowa City, Iowa USA

Dr Arnab Basu
O’Neal Comprehensive Cancer Center, The University of Alabama at Birmingham, Birmingham, AL, United States

Dr Shilpa Gupta
Department of Solid Tumor Oncology, Taussig Cancer Institute
Cleveland Clinic, Cleveland, OH, USA

Day 2: 7 October 2023 (Central European Time)

13:00 – 14:00

Scientific Session A: AI and ML in Cancer Diagnostics

SMART Diagnostics in the Precision Care of Cancer

Prof. Jianyu Rao

Department of Pathology and Lab Med, David Geffen School of Medicine, University of California, Los Angeles, USA

14:00 – 15:00

Scientific Session A: Deep learning for Medical Image synthesis, Segmentation and Registration

Classification of white blood cells by deep learning

Prof. Jon-Lark Kim

Sogang University, Seoul, Korea

15:00 – 16:00

Scientific Session B: Updates and Developments of AI/ML in Clinical Therapeutics

AI for Antibiotic Discovery

Dr César de la Fuente

School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA

16:00 – 17:00

Scientific Session C: Digital pathology with AI and Machine Learning

Liquid Biopsy under the perspective of single-cell sequencing

Prof. Qihui Shi

Fudan University, Shanghai Medical College, Institutes of Biomedical Sciences, Shanghai, China

17:00 – 18:00

Scientific Session D: Updates and Developments AI and ML in Cancer Diagnostics

Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology

Prof. Mingyi Chen

UT Southwestern Medical Center, Dallas, Tx, USA

Day 3: 8 October 2023 (Central European Time)

14:00 – 15:00

Scientific Session A: AI and ML for Precision Medicine

Personalised Medicine: The Medicine of tomorrow, today

Prof. George P. Patrinos

University of Patras, School of Health Sciences, Department of Pharmacy, Patras, Greece

15:00 – 16:00

Scientific Session B: AI and Machine Learning in Medical Imaging Diagnostics

The Clinical Adoption of Artificial Intelligence for the Next Digital Transformation of Radiology

Prof. Seong K Mun

Arlington Innovation Center: Health Research, Virginia Tech, Arlington, USA

16:00 – 17:00

Scientific Session C: Clinical Decision Support Systems (CDSS) Powered by AI

Translating Biomedical Informatics Back To Healthcare: Facilitating the use of Artificial Intelligence at UW Medicine

Prof. Sean Mooney

Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA

17:00 – 18:00

Scientific Session D: Digital pathology with AI and Machine Learning

Computational Pathology and AI Enabled Diagnostics: Where are we today and future directions

Prof. Anil Parwani

Columbus, OH, USA

18:00 – 19:30

Scientific Symposium E: AI in Point-of-Care Diagnostic Testing

AI-Power Up: Point of Care (POCUS) Devices and Clinical Applications

Prof. Hamid Shokoohi

Harvard Medical School, Department of Emergency Medicine, Massachusetts General Hospital, Harvard, USA

Advancements in AI-POCUS: Spine Procedural Ultrasound

Dr. Tamas Ungi

Department of Surgery, Queen’s University, Ontario, Canada

AI-guided Needle Localization in POCUS Procedural Applications

Dr. Michael Blaivas
University of South Carolina, School of Medicine, Columbia, SC, USA

AI-POCUS Journey: Where We Are and Where to Go

Prof. Andrew Goldsmith

Harvard Medical School, Massachusetts General Hospital, Boston, United States