Artificially Intelligent Medical Sensors for Clinical Decisions: From design to Applications​
Prof. Hossam Haick

Abstract
Due to the limited ability of conventional methods and the limited perspective of human diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease condition progresses. They may then undergo unnecessary treatments due to inaccurate diagnoses. This talk will offer a brief overview on the integration of non-invasive nanotechnology-based medical sensors and artificial intelligence (AI) for advanced clinical decision support systems to help decision-makers and healthcare systems improve how they approach information, insights, and the surrounding contexts, as well as to promote the uptake of personalized medic​​ine on an individualized basis. Relying on these milestones, wearable sensing devices could enable interactive and evolving clinical decisions that could be used for evidence-based analysis and recommendations as well as for personalized monitoring of disease progress and treatment. The talk will present and discuss the ongoing challenges and future opportunities associated with AI-enabled medical sensors in clinical decisions.



Hossam Haick is a Full Professor at the Technion – Israel Institute of Technology and head of five major European consortia. Highly multi-disciplinary in nature, the research of Prof. Haick focuses on novel solid-state and flexible devices/sensors as well as electronic sensory nanoarrays non-invasive diagnosis of diseases via volatile biomarkers. Prof. Haick’s comprehensive approach comprises materials and device development, system integration, testing in lab and clinical environments, and exploitation of project results/hardware. Prof. Haick has received more than 72 prizes and recognitions, including the Knight of the Order of Academic Palms (conferred by the French Government), the Humboldt Senior Research Award, the “Michael Bruno” Prize, the Changjiang Award, and more.