2nd AAMS Conference on AI & Digital Health Technologies
2025-11-15 – 2025-11-17 · San Francisco, CA, USA · Internal Medicine
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This landmark conference explored how artificial intelligence, machine learning, and digital health tools are transforming patient care and medical research. Featuring keynote sessions from leaders at Google Health, DeepMind, and Teladoc Health, the event covered cutting-edge topics including LLMs in clinical decision support, AlphaFold-driven drug discovery, federated learning for privacy-preserving clinical trials, and the future of remote patient monitoring. Over 800 participants from 45 countries gathered to shape the future of AI-driven healthcare.
Proceedings (17)
- Assessment of Masticatory Efficiency in Patients Using Implant-Supported Prostheses
Jumayev Asliddin ¹, Khojimurodov Burkhon²,
- Optimizing Perioperative Risk Assessment using Machine Learning with EMR Data and Medical Imaging Features
Prof. Karl Wagner, Dr. Elena Petrova, Dr. Samuel Adu
- AI-Powered Electrocardiogram Analysis for Early Identification of Left Ventricular Hypertrophy in Undiagnosed Hypertensives
Dr. Ethan Miller, Prof. Lina Hassan, Dr. Koji Nakamura
- Explainable AI Framework for Clinical Decision Support in Diagnosing Rare Autoimmune Diseases from Multi-Omics Data
Dr. Ben Carter, Prof. Hiroko Sato, Dr. John Nkosi
- Leveraging Digital Biomarkers from Wearable Devices for Early Prediction of Acute Exacerbations in COPD Patients
Prof. Andreas Schmidt, Dr. Anya Sharma, Dr. Mustafa Kemal Ergün
- Natural Language Processing for Extracting Social Determinants of Health from Unstructured Clinical Notes: Impact on Patient Risk Stratification
Dr. Sophie Dubois, Prof. Min-Joon Kim, Dr. Fatima Zahraoui
- Federated Learning for Privacy-Preserving Predictive Analytics in Electronic Health Records: A Multi-Institutional Study on Sepsis Onset
Dr. Chen Wei, Prof. Maria Rodriguez, Dr. David Oppenheimer, Dr. Sarah Al-Farsi
- Deep Learning for Early Detection of Diabetic Retinopathy from Low-Cost Retinal Scans: A Multi-Ethnic Cohort Study
Dr. Kenji Tanaka, Prof. Anja Müller, Dr. Aisha Khan
- Predictive Analytics for Personalized Anticoagulation Therapy in Atrial Fibrillation Patients using Real-World Data
Prof. Anya Ivanova, Dr. Mark Wilson, Dr. Amir Shah
- AI-Driven Interpretation of Clinical Genetics Reports for Automated Identification of Actionable Variants in Cancer Patients
Dr. Lena Kovac, Prof. Sung-Min Lee, Dr. Nkengasong Dlamini
- Developing a Deep Learning Model for Automated Detection of Early Sepsis from Longitudinal Electronic Health Record Data
Prof. David Klein, Dr. Nkechi Okoro, Dr. Amir Ali Jafari
- AI-Enhanced Histopathological Classification of Glomerular Diseases for Improved Diagnostic Accuracy and Prognosis
Dr. Chloe Dubois, Prof. Xiang Li, Dr. Ricardo Perez
- Clinical Decision Support System for Tailored Antihypertensive Therapy Selection Using Machine Learning and Patient Phenotypes
Dr. Clara Roldán, Prof. Wei Li, Dr. Kwame Boakye
- Development of a Conversational AI Chatbot for Empowering Self-Management in Patients with Chronic Kidney Disease
Dr. Sarah Johnson, Prof. Ahmed El-Sayed, Dr. Jian Li
- Large Language Models in Clinical Decision Support: A Systematic Review
Dr. Alex Turner, Dr. Emily Brooks, Dr. James Liu
- AlphaFold Applications in Accelerating Drug Discovery for Cardiovascular Diseases
Dr. Priya Sharma, Dr. Michael Zhang
- Federated Learning for Privacy-Preserving Multi-Center Clinical Trials
Dr. Kevin Wang, Dr. Lisa Park, Dr. Omar Al-Farsi
Authors
Jumayev Asliddin ¹, Khojimurodov Burkhon², Prof. Karl Wagner, Dr. Elena Petrova, Dr. Samuel Adu, Dr. Ethan Miller, Prof. Lina Hassan, Dr. Koji Nakamura, Dr. Ben Carter, Prof. Hiroko Sato, Dr. John Nkosi, Prof. Andreas Schmidt, Dr. Anya Sharma, Dr. Mustafa Kemal Ergün, Dr. Sophie Dubois, Prof. Min-Joon Kim, Dr. Fatima Zahraoui, Dr. Chen Wei, Prof. Maria Rodriguez, Dr. David Oppenheimer, Dr. Sarah Al-Farsi, Dr. Kenji Tanaka, Prof. Anja Müller, Dr. Aisha Khan, Prof. Anya Ivanova, Dr. Mark Wilson, Dr. Amir Shah, Dr. Lena Kovac, Prof. Sung-Min Lee, Dr. Nkengasong Dlamini, Prof. David Klein, Dr. Nkechi Okoro, Dr. Amir Ali Jafari, Dr. Chloe Dubois, Prof. Xiang Li, Dr. Ricardo Perez, Dr. Clara Roldán, Prof. Wei Li, Dr. Kwame Boakye, Dr. Sarah Johnson, Prof. Ahmed El-Sayed, Dr. Jian Li, Dr. Alex Turner, Dr. Emily Brooks, Dr. James Liu, Dr. Priya Sharma, Dr. Michael Zhang, Dr. Kevin Wang, Dr. Lisa Park, Dr. Omar Al-Farsi