The t:slim X2 pump is up to 38% smaller than other insulin pumps and can hold up to 300 Units of insulin.
Compared with the reference standard, the hybrid deep learning-enhanced device's sensitivity/specificity was 100/97.8% for vision-threatening diabetic retinopathy.
Artificial intelligence software can predict prognosis in epithelial ovarian cancer above established prognostic methods.
Clinical support tools, such as mobile apps, are becoming a regular part of patients' medical experience.
Machine learning algorithms using large datasets may be utilized to accurately estimate prognosis and guide therapy for patients with adult congenital heart disease.
A text-messaging bot is effective for increasing patient engagement after primary total knee or hip arthroplasty.
Facebook's recent suicide prevention efforts have sparked debate in the public health community.
The information provided by electronic health record (EHR) data may provide sufficient risk prediction capabilities without the inclusion of social factors.
Virtual video visits can effectively replace office visits for selected patients across medical specialties without sacrificing quality of care or patient-physician communication.
The uEXPLORER combines positron emission tomography (PET) with X-ray computed tomography (CT) allowing for imaging of the entire body at the same time.
Internet searches on sexual assault and harassment have greatly increased since the start of the #MeToo campaign.
Machine Learning in Dermatology: Overcoming Data Gaps in Skin Cancer Detection for Smarter DiagnosisJanuary 28, 2019
We can leverage the agility of machine learning to point out unmet clinical needs and improve clinical practice.
Many good practices have been developed in areas of assessment and other key aspects of defining health technology assessment processes.
We use artificial intelligence in nearly every aspect of our lives — but how does AI fare in the physician's exam room?
Dr Pransky shares some examples of robots that have shown impressive psychiatric applications, as well as her thoughts on giving robots the critical role of delivering healthcare to human beings.
Technical parameters of machine use, not patient requirements or clinical circumstances, are the largest driver of radiation dose variation in CT exams.
Digital interventions, such as web-based programs, mobile apps, and text messaging, have been found to improve asthma control and medication adherence while reducing the use of "rescue" medications.
Adoption of advanced health information technology (HIT) capabilities is inconsistent across health care systems.
The main objection among clinical researchers is that commercially developed products often lack a scientific basis for their selection of features.
Sandoz and Pear Therapeutics announced the launch of reSET-O, a new digital therapeutic for patients aged ≥18 years with opioid use disorder (OUD) currently under clinician care.
HeartGuide is designed as a wrist watch that uses the oscillometric cuff method, the standard for medical-grade personal blood pressure measurement.
As artificial intelligence becomes more common in healthcare systems, healthcare professionals must ask the right questions for AI to live up to expectations.
For part 2 of this article, Psychiatry Advisor interviewed Dr Brenda L Curtis, whose research focuses on "big data" generated from social networking sites, technology-based interventions for substance use disorders and related issues, and Internet research ethics.
Both electronic referral and care management by social workers increase the effective use of mental health services for adolescents in the United States significantly.
ProAir Digihaler is the first digital inhaler with built-in sensors that connects to a mobile application and provides data on inhaler use to patients with asthma and chronic obstructive pulmonary disease (COPD).
Patient-reported outcomes for care delivered using telemedicine were similar to usual care, with significant cost and distance savings.
The use of technology is also transforming the mental health landscape, with significant implications for clinicians who work with adolescents, in particular.
reSET-O is intended for use as an adjunct to outpatient treatment that includes transmucosal buprenorphine (medication-assisted-treatment [MAT]) and contingency management for patients aged ≥18 years who are currently under clinician supervision.
As patients continue to equip themselves with knowledge gleaned from sources outside the exam room, physicians must reassess their role.
Smartphones and wearable devices used to measure physical activity may systematically undercount the steps of older people and women.
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