CYTOMEGALOVIRUS RETINITIS SCREENING USING MACHINE LEARNING TECHNOLOGY.

Propose: A screening protocol for cytomegalovirus retinitis (CMVR) by fundus photography was generated, and the diagnostic accuracy of machine learning technology for CMVR screening in HIV patients was investigated.

Methods: One hundred sixty-five eyes of 90 HIV-positive patients were enrolled and evaluated for CMVR with binocular indirect ophthalmoscopy. Then, a single central field of the fundus image was recorded from each eye.

Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand.

Hackathons are intense, short, collaborative events focusing on solving real world problems through interdisciplinary teams. This is a report of the mHealth hackathon hosted by Khon Kaen University in collaboration with MIT Sana and faculty members from Harvard Medical School with the aim to improve health care delivery in the Northeast region of Thailand. Key health challenges, such as improving population health literacy, tracking disease trajectory and outcomes among rural communities, and supporting the workflow of overburdened frontline providers, were addressed using mHealth.