Towards a tricorder for diagnosing paediatric conditions
2019; Elsevier BV; Volume: 394; Issue: 10202 Linguagem: Inglês
10.1016/s0140-6736(19)32087-2
ISSN1474-547X
AutoresJustin Chan, Sharat Raju, Eric J. Topol,
Tópico(s)COVID-19 diagnosis using AI
ResumoPaediatric patients introduce a unique challenge for health care: information about symptoms in infants and children is usually obtained second-hand from the parents. Typically, diagnosis of paediatric conditions relies on physical examination and objective tests during a visit with a health professional. Yet digital diagnostics are now in development for assessing some common paediatric conditions that are not serious or life-threatening. These technologies could have the potential to change elements of paediatric care. Digital medicine: empowering both patients and cliniciansWhen physicians and health-care professionals think of the term digital medicine a first reaction might be that this represents an oxymoron. Medicine involves human touch and anything digital has traditionally been conceived as its antithesis. This sentiment is unsurprising given reactions to the big foray of computers in medicine—electronic medical records—considered by some to have diminished the relationship between doctors and their patients. Full-Text PDF Digital orthodoxy of human data collectionThe notion that more data are more informative has helped lay the foundation for a new era in medical diagnostics. But this “kitchen sink” approach can be misguided. A classic example is a middle-aged executive without any symptoms who undergoes a yearly health check that sets off a cascade of additional testing, sometimes invasive and not without risk but often without any benefit except for the creation of revenue. That example precedes today's data collection technologies of whole genome sequencing (WGS), wearable biosensors, high-resolution imaging, gut microbiome metagenomics, and more. Full-Text PDF
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