Tech & Innovation
COVID has pushed medical research into remote trials, benefiting patients and scientists
5 May, 2021 | 08:38h | UTC
Malaria vaccine becomes first to achieve WHO-specified 75% efficacy goal
25 Apr, 2021 | 21:17h | UTCNews release: Malaria vaccine becomes first to achieve WHO-specified 75% efficacy goal – University of Oxford
Original study (preprint): High Efficacy of a Low Dose Candidate Malaria Vaccine, R21 in 1 Adjuvant Matrix-M™, with Seasonal Administration to Children in Burkina Faso – The Lancet
Commentaries: Malaria vaccine hailed as potential breakthrough – BBC AND Oxford Malaria vaccine proves highly effective in Burkina Faso trial – The Guardian
Commentary on Twitter (thread – click for more)
💡AMAZING—First high >75% efficacy vaccine for a disease with 229 million cases & 409,000 deaths worldwide in 2019 —#Malaria!
Created by Oxford, produced by Serum Institute of India, & supporting adjuvant by Novavax, SII expects to make 200 mil doses a year!
Science! #vaccine pic.twitter.com/gnPMvXxww6
— Eric Feigl-Ding (@DrEricDing) April 23, 2021
Viewpoint | Implementing Measurement Science for Electronic Health Record Use – “Clinicians trained in patient care are locked into hours of screen time to complete mandatory clerical and documentation tasks, often unrelated to the quality of the care”
18 Apr, 2021 | 21:09h | UTCImplementing Measurement Science for Electronic Health Record Use – JAMA (free for a limited period)
Related: Opinion – “The EMR has changed the doctor-patient duet into a ménage-à-trois” (resources on the subject) AND Study: Association Between Perceived Electronic Health Record Usability and Professional Burnout (study and commentaries) AND The future of electronic health records – Nature
Commentaries on Twitter
To optimize #EHR design, implementation, and regulation, EHR use measures must be developed that are trustworthy, clinically important, scientifically sound, transparent, and feasible for implementation.
A recent paper by @JAMA_current @JAMANetwork https://t.co/IN3ZxcON9m pic.twitter.com/kOVQGI1OGl
— Eugenio Santoro (@eugeniosantoro) April 11, 2021
"Drawing attention to the EHR user experience with empirical measurements could add visibility and transparency to what is happening—the hours wasted and the risks incurred—that could stimulate usability improvements." https://t.co/WCzuo288Bp
— Janos Kalman (@kalman_jl) April 9, 2021
Study Commentary | What if the EHR Age-Adjusts D-dimer for You?
18 Apr, 2021 | 21:04h | UTCWhat if the EHR Age-Adjusts D-dimer for You? – Journal Feed
Original study: Multi-center implementation of automated age-adjusted D-dimer results reduces unnecessary PE imaging – The American Journal of Emergency Medicine (link to abstract – $ for full-text)
Liabilities with artificial intelligence: 4 things future radiologists kneed to know
18 Apr, 2021 | 21:02h | UTCClinical applications of AI in MSK imaging: a liability perspective – Skeletal Radiology
Commentaries: 4 Must-Knows about Future Radiologist Liabilities with AI – Diagnostic Imaging AND Who will be liable in the coming AI age? 4 things for radiologists to know – HealthImaging
How mRNA Technology Could Change the World
5 Apr, 2021 | 01:36h | UTCHow mRNA Technology Could Change the World – The Atlantic (a few articles per month are free)
Opinion | AI-facilitated health care requires education of clinicians
2 Apr, 2021 | 09:13h | UTCAI-facilitated health care requires education of clinicians – The Lancet (free registration required)
Commentary on Twitter
In the new issue @TheLancet, @pearsekeane and I review the need, and that the time is ripe, for educating clinicians on deep learning #AI https://t.co/PRmrHVOQF2 pic.twitter.com/RrMV0XH6en
— Eric Topol (@EricTopol) April 2, 2021
Editorial | Remote by default general practice: must we, should we, dare we?
28 Mar, 2021 | 22:18h | UTC
Remote by default general practice: must we, should we, dare we? Includes new model of all the potential influences on the decision to offer remote (or not).
My new paper coauthored with @DrBekkiR https://t.co/dAlBA0CRhv
— Trisha Greenhalgh 😷 #CovidIsAirborne (@trishgreenhalgh) March 26, 2021
Practice Pointer: Remote management of Covid-19 using home pulse oximetry and virtual ward support
26 Mar, 2021 | 09:05h | UTCRemote management of covid-19 using home pulse oximetry and virtual ward support – The BMJ
Related: Virtual clinics are reassuring but sometimes daunting – The BMJ
Commentary on Twitter
Our new BMJ paper – home oximetry and virtual wards (how to do it, when to do it, tips and caveats). @drmknight @mattinadakim @CeciliaVindrola Naomi Fulop @jonathanleach13 https://t.co/AOUIztHHwx
— Trisha Greenhalgh 😷 #CovidIsAirborne (@trishgreenhalgh) March 25, 2021
Guideline: To buy or not to buy—evaluating commercial AI solutions in radiology
10 Mar, 2021 | 08:15h | UTCCommentary: Top 10 questions to ask when buying radiology AI software – AuntMinnie
Systematic review: Big data analytics in healthcare
7 Mar, 2021 | 19:24h | UTCBig data analytics in healthcare: a systematic literature review – Enterprise Information Systems
Study: Cancer patients benefit from using automated device to manage their symptoms
7 Mar, 2021 | 19:21h | UTCOriginal study: Phase III Randomized Controlled Trial of eRAPID: eHealth Intervention During Chemotherapy – Journal of Clinical Oncology
Editorial: Five principles for the intelligent use of AI in medical imaging
26 Feb, 2021 | 08:29h | UTCFive principles for the intelligent use of AI in medical imaging – Intensive Care Medicine
Commentary on Twitter
5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging:
➡️knowledge base
➡️metrics
➡️bias
➡️model fragility
➡️error-prone behavior#DataScience https://t.co/h1iFAyCq35 pic.twitter.com/OvNVtwfl94— Intens Care Med (@yourICM) January 17, 2021
Collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
25 Feb, 2021 | 08:25h | UTC
Massive Google-funded COVID database will track variants and immunity
25 Feb, 2021 | 09:03h | UTCMassive Google-funded COVID database will track variants and immunity – Nature
See also: Backed by Google, epidemiologists launch a sweeping Covid-19 data platform – STAT
Deep learning algorithm detects universal trauma on pelvic radiographs
24 Feb, 2021 | 02:03h | UTCCommentary: AI algorithm accurately detects trauma on pelvic radiographs – AuntMinnie
Commentary on Twitter
#artificialintelligence #radiology #orthopaedics
Researchers from Taiwan and US have now developed
an AI model which can detect pelvic and femur injuries on pelvic XRays on a comparable performance with radiologists and orthopaedic surgeons: https://t.co/Ce2WUAuOvq— Sandeep Reddy (@docsunny100) February 22, 2021
Telemedicine and team-based care: The perils and the promise
5 Feb, 2021 | 01:23h | UTCTelemedicine and Team-Based Care – Mayo Clinic Proceedings
WHO SCORE Global Report highlights urgent need for better data to strengthen pandemic response and improve health outcomes
2 Feb, 2021 | 01:12h | UTCReport: Global report on health data systems and capacity, 2020 – World Health Organization
Commentary on Twitter
🆕 SCORE 🌐 global report on health data systems & capacity helps countries to:
✅ address gaps & inequalities in health information systems
✅ invest in areas having the greatest impact on quality, availability, analysis, accessibility & use of data📊👉 https://t.co/QjPZ4I4Z9k pic.twitter.com/fKwHuUB400
— World Health Organization (WHO) (@WHO) February 1, 2021
Seven technologies to watch in 2021
1 Feb, 2021 | 01:42h | UTCSeven technologies to watch in 2021 – Nature
Early warnings of COVID-19 outbreaks across Europe from social media
27 Jan, 2021 | 01:17h | UTCEarly warnings of COVID-19 outbreaks across Europe from social media – Scientific Reports
Commentary on Twitter
Where do you go to find the 1st, earliest signs of covid-19 in Europe?@Twitter https://t.co/H5SuMpiR6K @SciReports @IMTLucca
Incorporate social media into digital surveillance efforts pic.twitter.com/SjcpZXlYTs— Eric Topol (@EricTopol) January 25, 2021
Randomized trial: Remote, online support for blood pressure management at home is effective and low-cost
26 Jan, 2021 | 00:46h | UTC
Commentary on Twitter
NEW #BMJresearch has found that a digital intervention for the management of hypertension by using self-monitored blood pressure led to better control of systolic blood pressure after one year than usual care, with low incremental costs @RichardJMcManus https://t.co/XiNCzE0t6C
— The BMJ (@bmj_latest) January 23, 2021
Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review
25 Jan, 2021 | 01:08h | UTC
Commentary on Twitter
Our state-of-the-art review on Machine Learning and the Future of Cardiovascular care in @JACCJournals: "Cardiologists must shape how #ML is used in cardiovascular practice" with dr. Arnaout @UCSF (@scrippsresearch @ScrippsRTI #ai) https://t.co/dZYS6QyW12 pic.twitter.com/fLo2UhqocE
— Giorgio Quer (@GiorgioQuer) January 19, 2021
Review: Deep learning-enabled medical computer vision
22 Jan, 2021 | 08:18h | UTCDeep learning-enabled medical computer vision – npj Digital Medicine
Commentary on Twitter
New review paper on applications of #deeplearning/#AI in medical imaging – including cardiology, pathology, dermatology, ophthalmology, and more importantly how it can be clinically deployed to help patients and physicians.https://t.co/5jLNPqUmsx
— David Soong (@pharmaNGS) January 9, 2021
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study
22 Jan, 2021 | 08:16h | UTCInvited commentary: AI-automated referral for patients with visual impairment – The Lancet Digital Health
Commentary on Twitter
NEW Research: ‘Referral for disease-related visual impairment using #retinal photograph-based #DeepLearning: a proof-of-concept, model development study’. @snec_seri @dukenus @Astarhq @NTUsg @CUHKMedicine @SurajEye @UniHeidelberg @WestmeadInst @NUSMedicinehttps://t.co/iwCwYePLeu pic.twitter.com/Qksm3uPPVu
— The Lancet Digital Health (@LancetDigitalH) December 23, 2020
Predicting the risk of developing diabetic retinopathy using deep learning
22 Jan, 2021 | 08:15h | UTC
Commentary on Twitter
NEW Research: 'Predicting the risk of developing diabetic #retinopathy using deep learning'. #diabetes #DeepLearning @GoogleHealth @AdvClinical @RangsitU https://t.co/fstZJAWu4n pic.twitter.com/qC3AC10i7y
— The Lancet Digital Health (@LancetDigitalH) November 27, 2020