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Healthcare Professionals in Advancing CAD Systems for Cancer Diagnosis

2025·0 Zitationen·International Journal for Research in Applied Science and Engineering TechnologyOpen Access
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2025

Jahr

Abstract

Collaboration will be key for using AI effectively in cancer care. Teamwork helps new tools stay accurate, ethical, and focused on patient needs. Ongoing talks between AI experts and healthcare workers help solve new problems and put patients first. Progress in AI for cancer diagnosis depends on teamwork to keep up with medical changes and patient needs. As AI grows in oncology, flexible strategies will be needed to ensure ethical use and the best results for patients. AI's future in cancer diagnosis should make care more accurate and personalized, improving outcomes and efficiency. Teamwork between AI experts and healthcare workers will reshape cancer diagnosis, making it fit each person better. Continuous collaboration keeps AI advances relevant and focused on patients. As AI becomes more common in diagnosis, it should improve personalized care and healthcare efficiency. As AI grows, customizing treatments will be key to handling cancer's challenges. Ongoing teamwork is needed to make sure new advances meet clinical needs and improve results

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Artificial Intelligence in Healthcare and EducationAI in cancer detectionRadiomics and Machine Learning in Medical Imaging
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