Clinician Friendly Solution

"Clinician-friendly solutions" in healthcare focus on developing AI tools that augment, rather than replace, clinicians' expertise, addressing challenges like workload, data analysis, and diagnostic accuracy. Current research emphasizes the use of large language models (LLMs), deep learning frameworks, and Bayesian approaches to improve tasks such as data extraction from medical records, image interpretation (e.g., CT scans), and generating patient communication responses. These advancements aim to enhance efficiency, reduce errors, and ultimately improve patient care and clinician well-being by mitigating burnout and improving diagnostic accuracy.