A community effort for automatic detection of postictal generalized EEG suppression in epilepsy.

Applying machine learning to healthcare sheds light on evidence-based decision making and has shown promises to improve healthcare by combining clinical knowledge and biomedical data. However, medicine and data science are not synchronized. Oftentimes, researchers with a strong data science background do not understand the clinical challenges, while on the other hand, physicians do not know the capacity and limitation of state-of-the-art machine learning methods. The difficulty boils down to the lack of a common interface between two highly intelligent communities due to the privacy concerns and the disciplinary gap. The School of Biomedical Informatics (SBMI) at UTHealth is a pilot in connecting both worlds to promote interdisciplinary research. Recently, the Center for Secure Artificial Intelligence For hEalthcare (SAFE) at SBMI is organizing a series of machine learning healthcare hackathons for real-world clinical challenges. We hosted our first Hackathon themed centered around Sudden Unexpected Death in Epilepsy and finding ways to recognize the warning signs. This community effort demonstrated that interdisciplinary discussion and productive competition has significantly increased the accuracy of warning sign detection compared to the previous work, and ultimately showing a potential of this hackathon as a platform to connect the two communities of data science and medicine.

Dissolution of uric acid calculi with alkaline fluid irrlgation through percutaneous nephrostomy tube / 대한비뇨기과학회지

We treated 4 patients with uric acid calculi in the renal pelvis or ureter with alkaline fluid irrigation through percutaneous nephrostomy (PCN) tube. Initial presentations were anuria or severe flank discomfort, we performed PCN to relieve such obstructive symptoms caused by uric acid calculi. We tried to dissolve uric acid calculi with normal saline mixed to sodium bicarbonate through a PCN tube. The success of therapy is believed to be related to the direct and constant urinary alkalinization effect obtained with irrigation compared to be the intermittent alkalization that occurs when oral agent are used.