This paper explores the advancements in human-centered AI in the healthcare sector. It emphasizes the ethical concerns of AI integration, patient privacy, and ensuring transparency. The study proposes frameworks to integrate AI systems that prioritize human dignity and autonomy while delivering efficient healthcare solutions.

Ravi Kumar Sharma, Elena Maria Rossi, Aditya Ramesh Kulkarni, Wei Yi Chen, Julia Carolina Müller

This study investigates how human-centered AI can optimize treatment personalization in cancer therapy. It covers AI-driven diagnostic tools, patient data analysis, and decision-making algorithms that assist oncologists in providing individualized treatment plans, thereby improving patient outcomes and reducing treatment-related risks.

Michael David Fields, Wei Yi Tan, Elena Sofia Giordano, Li Wei Zhang, Isabella Claire Roberts

This research delves into the ethical concerns surrounding AI in personalized medicine. It investigates biases in data, patient consent, and transparency, offering frameworks for developing ethical AI systems that enhance diagnostic accuracy and treatment personalization while safeguarding patient rights.

Jonathan Patrick Lee, Wei Jun Tan, Priya Nair, Maria Elena Gomez, Ramesh Kumar Patel

This paper discusses the integration of AI-powered decision support systems (DSS) in diagnosing and treating cardiovascular diseases. It explores AI's ability to predict heart disease risks, assist in early diagnosis, and optimize treatment strategies by analyzing patient data in real-time.

Elena Maria Rossi, Michael Julian Fields, Wei Yi Zhang, Laura Isabelle Fisher, Cheng Yu Zhang