FROM DATA TO DIAGNOSIS: ENHANCING RADIOLOGY REPORTING WITH CLINICAL FEATURES ENCODING AND CROSS-MODAL COHERENCE

From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence

The integration of radiology reports for healthcare treatment using AI presents a transformative opportunity to enhance patient care and optimize healthcare delivery.Generating accurate radiology reports is crucial for guiding patient treatment in the clinical traditional applications or machines.However, the task of writing these reports can be a

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Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach

sticklettes candy In this paper, we present an advanced adaptive cruise control (ACC) concept powered by Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car-following policies.Unlike the current trend in developing DRL-based ACC systems, we propose defining the action space of the DRL agent with discrete actions r

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