Observations

OBSERVATIONS

An insight led portal into technological advancements in the future of healthcare researched by staff writer Hazel.

Answered! The five most common questions radiology trainees ask about AI

13/01/21

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Cardiology artificial intelligence AI machine learning ML data algorithm physician clinician patient research adoption deployment clinical trials prediction model system

What makes cardiology unique when it comes to AI adoption?

29/11/20

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Advice for clinicians embarking on their AI journey

27/11/20

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Aidoc receives FDA regulatory clearance to use AI in incidental findings

27/11/20

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Ways to protect sensitive information as AI in healthcare progresses

26/11/20

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AIMed Pediatric 2020: AI may help the early detection of child abuse

25/11/20

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The nuances of vaccines: comparisons to artificial intelligence in healthcare

24/11/20

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From predictive to prescriptive analytics : Using AI to predict and act on at-risk behaviors

19/11/20

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AIMed released its first research findings on the adoption of AI within US healthcare organizations

18/11/20

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How is AI changing healthcare leadership?

17/11/20

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The conundrum of evaluation metrics: accuracy, roc vs pr auc, and f1 score

17/11/20

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Building a cyber-resilient healthcare system in the age of AI

16/11/20

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AIMed Paediatrics – Day 2 Takeaways

12/11/20

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AIMed Pediatric 2020: The role that AI plays in the future of pediatric medicine

11/11/20

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AIMed Paediatrics – Day 1 Takeaways

11/11/20

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AIMed Pediatric 2020: The same and different data challenges in pediatric and adult medicine

10/11/20

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AIMed Radiology November 2020: key takeaways

08/11/20

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AIMed Cardiology: Journal Club

06/11/20

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AIMed Cardiology November 2020: Key takeaways

06/11/20

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AIMed Radiology Nov 2020: The ecosystem for AI in medical imaging

05/11/20

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AIMed Cardiology Nov 2020: The potential of AI in a real-world cardiology problem

05/11/20

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AIMed Cardiology Nov 2020: Three machine/deep learning in cardiology case studies

04/11/20

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Unveiling some of the possible blind spots in data governance

03/11/20

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Three radiological AI deployment case studies

02/11/20

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AIMed UK 2020: Get patients to be part of the driving force for change and innovation

30/10/20

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AIMed UK 2020: Considerations to have in deploying healthcare AI at scale

30/10/20

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Aidoc receives FDA regulatory clearance to use AI in incidental findings

29/10/20

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Advice for clinicians to embark on their AI journey

26/10/20

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Potential of AI and data-driven analytics to salvage the aftermath of COVID-19 pandemic

23/10/20

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AIMedConnect: Bringing clinicians and industrial partners together to accelerate the adoption of AI in healthcare

22/10/20

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Stop developing more AI products and start validating them

21/10/20

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Alternatives to data democratization and each of their pitfalls

19/10/20

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Big data shed lights on child mortality, what can data-driven technologies do next?

16/10/20

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Big data sheds light on child mortality, what can data-driven technologies do next?

16/10/20

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A note on validating Radiological AI

14/10/20

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Cardiology medicine healthcare physician clinician patient research researchers artificial intelligence AI machine learning ML data algorithm model virtual reality 3D

Once we implement AI in Cardiology, what will happen next?

13/10/20

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Virtual reality and post COVID-19 medical research

12/10/20

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Reasons behind the “wait and see” approach in AI regulations

08/10/20

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AI to identify and mitigate gender bias in drugs

07/10/20

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Telehealth adoption may be tapering

06/10/20

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Future proofing clinical trials with machine learning

05/10/20

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New study found a lack of geographic diversity in clinical AI models

02/10/20

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AIMed Healthcare Executives Virtual Conference: Strategies for a successful AI deployment

30/09/20

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AIMed Healthcare Executives – Top Takeaways

29/09/20

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Things to know about the new multi-agency regulatory advice service for AI

29/09/20

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Key takeaways from the recent AIMed NHS AI Lab Virtual Conference

28/09/20

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AIMed Surgery 2020: How to get more surgeons on board this AI journey?

25/09/20

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CEO of NHSx wishes to see the use of AI beyond clinical setting

24/09/20

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A new UK data strategy for health and social care to be released in autumn

24/09/20

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NHS AI Effort: The past, the present and the future

24/09/20

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An agenda on the move: The AIMed NHS AI Lab virtual conference

24/09/20

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AIMed ICU 2020: The many opportunities out there

23/09/20

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CONSORT-AI: The new standards for clinical trials involving AI

21/09/20

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Get EHRs to work in the best interests of AI development

17/09/20

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Health executives should not let participation washing get in the way of their AI effort

16/09/20

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Nvidia acquired Arm Holdings in a $40 billion deal

14/09/20

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Surgeons may be accountable for the slow adoption of AI in surgery

11/09/20

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These are the things that keep healthcare executives up at night

10/09/20

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National Health Service NHS UK NHSx digital unit artificial intelligence AI machine learning ML Award winners recipients challenges wearables science technology medicine healthcare physician clinician patient Innovate innovation researcher clinical disease National AI Lab COVID-19 pandemic contact tracing application Apple Google

The NHS AI in Health and Care Award winners announced today

08/09/20

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Machine learning to determine if infants with fever are at risk of serious infections

07/09/20

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Factors that are stopping AI from entering the ICU

03/09/20

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Autonomous monitoring of ICU patients with pervasive sensing and deep learning

02/09/20

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A call for better and larger AI-driven breast cancer screening studies

01/09/20

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Machine learning-driven high performance computing simulations to understand heart defects

31/08/20

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Guiding first responders to perform surgeries in adverse conditions with augmented reality

27/08/20

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Leveraging contextual AI to foster trust

26/08/20

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Getting started in medical AIntrepreneurship

25/08/20

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Healthcare executives and value-based care in the age of AI

20/08/20

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Utilizing natural language processing to assess healthcare quality

19/08/20

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The launch of the American Board of AI in Medicine announced in recent AIMed webinar

18/08/20

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Have we forgotten about Surgical Data Science?

13/08/20

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Machine learning to predict unplanned intensive care unit readmission

12/08/20

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UK calls for new research effort into the effects of COVID-19 on ethnic minorities

10/08/20

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Deploying AI to assist in stroke recovery

06/08/20

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A patient’s view on data-sharing

05/08/20

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The use of quantum computing to understand genetic diseases

04/08/20

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From physical to virtual care: The change that COVID-19 has brought about

03/08/20

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Important population health and social inequities lessons for AI and us

30/07/20

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Using AI-driven tool to spot imagery duplicates in COVID-19 preprints has caused a stir

29/07/20

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The clinical, legal and ethical aspects to consider before deploying chatbots in healthcare

28/07/20

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Experts urged for clinical AI departments in all hospitals

27/07/20

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A quick look into the AIMed Webinar: Key trends in Surgical AI

24/07/20

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Messages from the latest AIMed webinar: Key trends in Critical Care AI

23/07/20

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Patients aren’t aware their care was partly influenced by AI

22/07/20

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AIMed launches new AI community group with Jvion as its founding member

21/07/20

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Keeping data secret is slowing pandemic effort

21/07/20

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National Health Service NHS England NHS 111 UK medicine healthcare physician clinician patient data algorithm machine learning artificial intelligence AI decision making Amazon Microsoft Palantir cloud computing A&E Covid-19 coronavirus pandemic software data GPs science technology

NHSX turns one, what has it achieved thus far?

20/07/20

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COVID-19 pandemic artificial intelligence AI data algorithm partnership Kings College London novel coronavirus Run:AI hardware infrastructure visualization medicine healthcare physician clinician patient science technology research experiment clinical trial

London-based AI Center gets a power up in its fight against COVID-19

16/07/20

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Patients are daunted by their ICU experience, not the novel coronavirus

15/07/20

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What have the many COVID-19 trials found thus far?

14/07/20

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UK set-aside over £11 million for a new AI program to improve lung cancer diagnosis

13/07/20

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A new project to translate clinical guidelines into executable knowledge

08/07/20

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Physicians are questioning the use of AI in end-of-life conversations

07/07/20

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Data plays a key role to fight pandemic but using it responsibly is a challenge

06/07/20

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We need inclusive data to ensure no one is left out in this pandemic

30/06/20

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The kind of ethics AI needs in a global health crisis

29/06/20

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Has technology failed us in our combat against COVID-19?

25/06/20

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A new study found many clinical algorithms are still subjected to racial biases

22/06/20

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Common and low-cost steroid found to reduce COVID-19 deaths

17/06/20

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Imagine a new generation of electronic health record

16/06/20

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New report on health inequalities was criticized for failing to provide recommendations

11/06/20

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Can patients ever have a say over how their health data is being used?

10/06/20

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The debate around AI’s analyses of chest x-rays during COVID-19

09/06/20

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Two high profile COVID-19 related papers were retracted due to data discrepancy

08/06/20

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How AI helps scientists to navigate in this sea of COVID-19 information?

04/06/20

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Electronic health records consistently failed to detect patient-harming errors

03/06/20

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How will AI perform if some data is deliberately removed?

02/06/20

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SpaceX NASA launch rocket aerospace artificial intelligence AI science technology AIMed community medicine healthcare physician clinician patient research coronavirus COVID-19 pandemic Crew Dragon capsule International Space Station Elon Musk AIMed Talks

What can the AIMed community learn from the SpaceX and NASA launch?

01/06/20

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Re-tooling an AI algorithm into a COVID-19 detection machine

28/05/20

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Health data privacy debate is changing because of COVID-19

27/05/20

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How has the pandemic facilitated remote heart monitoring?

26/05/20

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A new observational study dismissed chloroquine and hydroxychloroquine benefits on COVID-19 patients

25/05/20

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Interface exploration in fluid dynamics simulator for better cardiovascular care

21/05/20

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AIMed Radiology 2020 – Top Ten Takeaways

20/05/20

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AIMed Cardiology 2020 – Top Ten Takeaways

20/05/20

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Guest Blog Post: A celebration of International Clinical Trials Day in the age of Artificial Intelligence

20/05/20

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artificial intelligence AI machine learning ML data science technology medicine healthcare hospital physician clinician patient coronavirus COVID-19 pandemic electronic health records Epic US index algorithm data model tool prediction research Stanford University

Hospitals are using AI without knowing whether they will work

19/05/20

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Smart fabrics to assess our health risks in the future

14/05/20

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New Predictive model supports links between COVID-19 and loss of taste and smell

13/05/20

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A new public guide helping hospitals to restart their operations

12/05/20

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New observational studies say ACE inhibitors and statins don’t increase COVID-19 risk

11/05/20

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Will the new way of using technology stay after the pandemic?

07/05/20

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UK National Health Service NHS NHSx digital unit contact tracing application mobile coronavirus COIVD-19 pandemice ethics privacy transparency algorithm data epidemiology physician clinician science technology patient symptoms Apple Google

NHSx set up ethics advisory board to oversee the making of contact tracing app

06/05/20

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Be prepared for a COVID-19 mental health crisis

05/05/20

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Users may soon unlock their iPhones with masks on

04/05/20

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Restoring the sense of touch with BCI

30/04/20

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Keeping AI tools that were born during a pandemic

29/04/20

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Microsoft’s plan to democratize data

28/04/20

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Bluetooth may be the new tracking tool

27/04/20

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The risks of de-identified and re-identified data

23/04/20

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Machine learning predicts when infection will slow down in each country

22/04/20

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Darwinian evolution is taking place in AI

21/04/20

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When supercomputers meet a pandemic

20/04/20

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Artificial Intelligence and Covid-19: How pandemics will be eradicated in the future

16/04/20

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AI and the race to find a coronavirus treatment

16/04/20

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Why AI is able to recognize emotions in animals but not human?

15/04/20

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Optical imaging, AI and finding tumors

14/04/20

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How quickly can our smartwatches save us from an infection?

13/04/20

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Can NHS data give UK a pandemic solution?

06/04/20

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The science and controversies behind pandemic decision making

02/04/20

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$cardiology cardiac ejection fraction heartbeat artificial intelligence AI convolutional neural network CNN blood volume left ventricle pump heart function measurement physician clinician patient science technology medicine medical researcher Stanford university estimation arrhythmia atrial fibrillation$

AI in Medicine

A more accurate ejection fraction with AI

01/04/20

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AI in Medicine

The trade-off between pandemic control and privacy

31/03/20

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AI in Medicine

The challenges of educating medical professionals about AI in the 21st century

30/03/20

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AI in Medicine

Can AI help us hire the best doctors?

26/03/20

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AI in Medicine

The ongoing pandemic is hastening technology adoption

25/03/20

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AI in Medicine

We may be in an AI autumn at the moment

24/03/20

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AI in Medicine

Not just precision medicine, AI will be making drugs with less adverse reactions

23/03/20

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