Publications by authors named "P F Katsakiori"
General practice/family medicine is a primary healthcare discipline that focuses on providing comprehensive, patient-centered care to individuals and families across their lifespan. This study aimed to assess the implementation of artificial intelligence (AI) in general practice/family medicine regarding the 12 characteristics of its discipline as described in the recently revised European Definition of General Practice/Family Medicine. AI has the potential to revolutionize family medicine practice by improving the accuracy, efficiency, and effectiveness of various clinical tasks.
View Article and Find Full Text PDFSurgical treatment of lung metastases originating from head and neck tumors has shown favorable outcomes with low incidence of complications and mortality. This study aims to investigate survival and prognostic factors following pulmonary metastasectomy for head and neck cancers. A comprehensive review of the literature was conducted through the Medline database, focusing on English-language studies related to surgical treatment of lung metastases from head and neck cancers.
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- The study assessed how well pre-trained deep learning models can grade hepatic steatosis (HS) in patients with Non-Alcoholic Fatty Liver Disease (NAFLD) using ultrasound images of the liver and kidney.
- A total of 112 NAFLD patients underwent ultrasound examinations, and various deep learning models (like InceptionV3 and DenseNet201) were trained and tested on cropped images that were either augmented or not.
- The models showed high accuracy in HS grading, particularly DenseNet201 with augmented data, which may serve as a useful tool for diagnosing and grading NAFLD alongside radiologist assessments.
Article Synopsis
- * Patients included a 67-year-old male and a 74-year-old male who received endoscopic ablation, and a 68-year-old female treated with percutaneous tumor resection.
- * Results indicated that kidney-sparing methods led to no recurrence of cancer in all patients, highlighting the importance of personalized treatment plans based on individual cases.