In many developing countries like India, there is a widespread lack of general awareness about the importance of good oral health, which causes dental patients to neglect their oral hygiene, thus precipitating many long-term ailments. We developed an application that promotes the significance of regular dental checkups and oral health care by explaining to patients how these are intrinsic to overall health. Our application, in essence, extracts relevant health information from published scientific studies according to a patient's medical history and shares it with the patient at the discretion of the supervising dentist, thereby empowering patients to make more informed decisions. We present a detailed overview of our semi- autonomous machine learning-based solution, along with the complex challenges involved in the design, development, and real-world deployment of our application. Finally, we conducted a randomized parallel-group study in India with 224 dental patients over two years to assess the utility of our proposed solution. Results show our application improved the patient recall rate from 21.1% to 37.8% (p-value = 0.024).
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http://dx.doi.org/10.3233/SHTI220352 | DOI Listing |
Breast Cancer
January 2025
Division of Breast and Endocrine Surgery, Department of Surgery, School of Medicine, Hyogo Medical University, 1-1 Mukogawa-cho, Nishinomiya, Hyogo, 663-8501, Japan.
Purpose: The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by "average" and "hot-spot" methods in breast cancer patients.
Methods: We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC.
Breast Cancer
January 2025
Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Exosome markers, CD63 and CD81, belong to the tetraspanin family and are expressed in solid tumors. It has been reported that these tetraspanin family members are prognostic factors in some cancers. However, the expression of CD63 and CD81 in pathological breast cancer specimens has not been reported.
View Article and Find Full Text PDFJ Patient Rep Outcomes
January 2025
Division of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Graz, Austria.
Purpose: Zirconia dental implants show excellent biocompatibility and tissue integration, low affinity for plaque, and favorable biomechanical properties. However, these objective measures do not adequately replicate the patient's perception. This systematic review evaluated the evidence on patient-reported outcome (PROs) in zirconia dental implant treatment.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.
Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Clinic of Conservative and Preventive Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland.
Objective: Aim of this study was to critically appraise clinical evidence on the potential benefits of adjunctive use of superfoods green tea and turmeric as mouthrinse or local delivery agents in the treatment of periodontal disease.
Materials And Methods: Electronic searches were performed in four databases for randomized trials from inception to February 2024 assessing the supplemental use of superfoods green tea and turmeric for gingivitis/periodontitis treatment. After duplicate study selection, data extraction, and risk-of-bias assessment with the RoB 2 tool, random-effects meta-analyses of Mean Differences (MD) or Standardized Mean Differences (SMD) with their 95% confidence intervals (CI) were performed.
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