Over the past 50 years, the medical field has transitioned from reliance on expert opinion to becoming a more scientific discipline due to evidence-based medicine. This approach helps clinicians choose effective treatments based on high-quality research. Currently, precision medicine is personalizing patient care using genetic, environmental, and clinical data. However, this increase in data complexity presents challenges for interpretation and decision-making, which computer scientists and AI experts are striving to address by collaborating with medical professionals to create integrated systems for optimal patient care.
The potential benefits of precision medicine also come with new challenges, such as the increasing amount and complexity of patient data clinicians must sift through.
The rise of evidence-based medicine shifted clinical decision-making from anecdotal experiences to a framework that integrates research with clinical expertise.
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