Hipulan, John Gerald M.  <br/><br/>
Prohealth suite:  Ptb portal with yolo11 capabilities/ 
John Gerald M. Hipulan, Davis Louis A. Icaro, Kyle Gabriel Kristofferson S. Maraya, Aaron Paul M. Sicio, and Paolo Miguel L. Sunga.-- 
 - Manila:  Technological University of the Philippines,  2025. 
 - ix, 77pages:  29cm. 
<br/><br/> Bachelor's thesis 
<br/><br/>College of Science.-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Early detection and diagnosis of diseases are critical to improving patient outcomes and<br/>reducing mortality rates. This thesis presents the ProHealth Suite, a diagnostic tool that leverages<br/>YOLOv11 to detect pleural effusion and cavities—conditions that may indicate probable<br/>pulmonary tuberculosis—from medical images, using chest X-rays as the primary input.<br/><br/>This research demonstrates the potential of YOLOv11 in automating and improving the<br/>accuracy of disease detection, potentially enhancing the early diagnosis process in clinical<br/>settings. The ProHealth Suite represents a significant step towards the development of<br/>comprehensive, AI-powered diagnostic tools that can be widely implemented in healthcare<br/>systems worldwide. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Smart diagnostics<br/>AI-powered TB detection<br/>Real-time health screening
<br/><br/><label>LC Class. No.: </label>BTH QA 76  / H57 2025