Publications by authors named "P J Schilling"
Article Synopsis
- Deep learning (DL) can recognize intricate patterns in data that humans might miss, but it often leads to misleading results due to its black-box nature and a problem known as algorithmic shortcutting.
- In a case study, simple convolutional neural networks (CNNs) were able to predict patient behaviors like avoiding refried beans or beer just by analyzing knee X-rays, showcasing the dangers of relying on shortcuts in data interpretation.
- The findings highlight that the models' predictions are influenced by confounding factors in the images that cannot be easily eliminated, indicating a need for stricter criteria when assessing research involving medical imaging.
Background: Total knee arthroplasty (TKA) is frequently performed to reduce pain and improve quality of life. Patient satisfaction following TKA is commonly reported at 80%. However, given recent advancements in perioperative management, implants, and operative techniques, new assessments on patient satisfaction are warranted.
View Article and Find Full Text PDFPurpose: The proximity or overlap of planning target volume (PTV) and organs-at-risk (OARs) poses a major challenge in stereotactic body radiation therapy (SBRT) of pancreatic cancer (PACA). This international treatment planning benchmark study investigates whether simultaneous integrated boost (SIB) and simultaneous integrated protection (SIP) concepts in PACA SBRT can lead to improved and harmonized plan quality.
Methods And Materials: A multiparametric specification of desired target doses (gross target volume [GTV], GTV, PTV, and PTV) with 2 prescription doses of GTV = 5 × 9.
Background: Antibiotic-containing carrier systems are one option that offers the advantage of releasing active ingredients over a longer period of time. In vitro sustained drug release from a carrier system consisting of microporous β-TCP ceramic and alginate has been reported in previous works. Alginate dialdehyde (ADA) gelatin gel showed both better mechanical properties when loaded into a β-TCP ceramic and higher biodegradability than pure alginate.
View Article and Find Full Text PDFBackground: Osteoarthritic knee pain is a complex phenomenon, and multiple factors, both within the knee and external to it, can contribute to how the patient perceives pain. We sought to determine how well a deep neural network could predict osteoarthritic knee pain and other symptoms solely from a single radiograph view.
Methods: We used data from the Osteoarthritis Initiative, a 10-year observational study of patients with knee osteoarthritis.