Objectives To design an interface to support communication of machine learning (ML)-
based prognosis for patients with advanced solid tumors, incorporating oncologists' needs …

Background Rapid advances in science challenge the timely adoption of evidence‐based
care in community settings. To bridge the gap between what is possible and what is …

Background The understanding and processing of numerical prognostic information can be
challenging for patients who suffer from disease and the stress of a diagnosis. Objective This …

e17653 Background: We have reported on efforts to develop IBM Watson Oncology, a
cognitive computing application designed to inform clinical decision making. The initial …

Shared decision making (SDM) and patient-centered care require patients to actively
participate in the decision-making process. Yet with the increasing number and complexity …

Background Adults with cancer experience symptoms that change across the disease
trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving …

PURPOSE To examine the impact of a clinical decision support system (CDSS) on breast
cancer treatment decisions and adherence to National Comprehensive Cancer Center …

At the ASCO Data Standards and Interoperability Summit held in May 2016, it was
unanimously decided that four areas of current oncology clinical practice have serious …

Importance There is an enormous and growing amount of data available from individual
cancer cases, which makes the work of clinical oncologists more demanding. This data …

Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations
between patients and healthcare professionals to navigate treatment options. However, the …