asymptomatic breast cancers. For the majority of women, this uses mammography starting in middle age, although different regions differ in their screening recommendations and practices (Table1). In rarer, very high-risk situations such as a known...
Breast cancer screening is highly controversial and different agencies have widely varying guidelines. Yet it is currently used extensively in the USA and
AI algorithms contribute to treatment optimization by analyzing patient-specific data and providing personalized dosing recommendations. CURATE.AI, an AI-derived personalized medicine platform, offers physicians support in making dosing decisions tailored to each patient's profile. This system maps the relat...
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey & Siddharth Swarup Rautaray Contributions AS: data collection, conceptualization, methodology, and writing original draft. MNBJN: data collection, formal analysis and supervision. MP: supervision and original draft—review and editing. SSR: reso...
However, with varying breast densities across the globe, the explosion of breast density information related to imaging, phenotypes, diet, computer aided diagnosis and artificial intelligence has witnessed a dramatic shift in new screening recommendations in mammography, physical examination, screening ...
For patient images generated by different imaging modalities such as X-ray, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), ultrasound, and mammogram, deep learning AI can be automated to pinpoint accurately the areas of interest and diagnosis. Image recognition using AI with deep ...
There is also a concordance between the AI system and tumor board recommendations for colon, rectal, and lung cancer [165]. Next-generation sequencing (NGS) has become a common place in clinical oncology and is recommended for non-squamous NSCLC for personalizing of therapy [166]. NGS ...
mammogram, ultrasound, and MRI; patients must be undergoing breast conserving therapy; patients must have a biopsy marker placed within the tumor bed with imaging confirmation (preferably mammogram but ultrasound or MRI is acceptable) of marker placement prior to NST 6× 8–11G VAB, stereotactic ...
For patient images generated by different imaging modalities such as X-ray, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), ultrasound, and mammogram, deep learning AI can be automated to pinpoint accurately the areas of interest and diagnosis. Image recognition using AI with deep ...
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