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Watson for oncology decision system for treatment consistency study in breast cancer
The Watson for Oncology (WFO) decision system has been rolled out in many cancers. However, the consistency of treatment for breast cancer is still...
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Large language models and multimodal foundation models for precision oncology
The technological progress in artificial intelligence (AI) has massively accelerated since 2022, with far-reaching implications for oncology and...
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Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination and can revolutionize biomedicine. AI and machine...
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New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Until recently the application of artificial intelligence (AI) in precision oncology was confined to activities in drug development and had limited...
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Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China
BackgroundWith the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections...
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Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations
PurposeUrological oncologists have difficulty providing optimal personalized care due to rapid alterations in scientific research results, medical...
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Identification of glomerulosclerosis using IBM Watson and shallow neural networks
BackgroundAdvanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on...
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CRISPR/Cas9 system: recent applications in immuno-oncology and cancer immunotherapy
Clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) is essentially an adaptive immunity weapon in...
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The Patient Activation Measure-13 (PAM-13) in an oncology patient population: psychometric properties and dimensionality evaluation
BackgroundAccurate assessment and enhancement of health-related skills among oncology patients are pivotal for optimizing cancer care. The Patient...
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Utilizing Patient Reported Outcome Measures (PROMs) in ambulatory oncology in Alberta: Digital reporting at the micro, meso and macro level
Cancer patients experience numerous distressing symptoms and concerns across the course of their illness, which negatively influence their quality of...
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Diagnostic magnetic resonance imaging characteristics of congenital mesoblastic nephroma: a retrospective multi-center International Society of Pediatric Oncology-Renal Tumor Study Group (SIOP-RTSG) radiology panel study
BackgroundCongenital mesoblastic nephroma is the most common solid renal tumor in neonates. Therefore, patients <3 months of age are advised to...
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Burnout and quality of life in Portuguese healthcare professionals working in oncology and palliative care—a preliminary study
BackgroundPalliative care is an approach that improves the quality of life of patients and their families who are facing challenges associated with...
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The Fidelity of Artificial Intelligence to Multidisciplinary Tumor Board Recommendations for Patients with Gastric Cancer: A Retrospective Study
PurposeDue to significant growth in the volume of information produced by cancer research, staying abreast of recent developments has become a...
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Assessment of Turkish oncology nurses’ knowledge regarding COVID-19 during the current outbreak in Turkey
PurposeTo assess Turkish oncology nurses’ knowledge regarding novel coronavirus (COVID-19) during the current outbreak in Turkey.
Methods ... -
Distress evaluation in a veteran affairs oncology clinic
Distress in oncology patients (pts) has a negative impact on quality of life, survival, and healthcare satisfaction. Higher distress leads to lower...
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Direct Comparison of In-Person Versus Virtual Interviews for Complex General Surgical Oncology Fellowship in the COVID-19 Era
BackgroundIn the era of coronavirus disease 2019 (COVID-19), many Complex General Surgical Oncology (CGSO) fellowship programs implemented virtual...
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Coverage for evidence-based cancer survivorship care services
PurposeThe American Society of Clinical Oncology Cancer Survivorship Committee established a task force to determine which survivorship care services...
