Étiquette : health (Page 3 of 4)

“Le tribunal a retenu contre lui une amende de 443 000 dollars et 10 ans de prison selon Reuters. Gottesfled fera appel même s’il ne regrette en rien ses actions et se confronte à la dure loi CFAA inventée sous l’ère Reagan, protégeant les systèmes informatiques publics jusqu’à l’excès. Le procureur d’Addio estime que Gottesfled a mis en danger la vie des enfants tout en qualifiant l’accusé d’ « autoglorifier » la menace qu’il représentait. Justina Pelletier, depuis sortie d’internement, prend aujourd’hui la parole pour défendre Gottesfled, « il ne devrait pas être en prison » juge-t-elle auprès de Rolling Stone. Aujourd’hui, après avoir largement contribué à faire connaître le mot-dièse #justice4justina, Martin Gottesfled donne naissance malgré lui à celui de #FreeMartyG. Un concentré d’Amérique, à l’heure d’Internet.”

Source : Martin Gottesfled, le hackeur qui voulait « sauver les enfants », reste en prison – Cyberguerre

Google Health

“Google has been accused of breaking promises to patients, after the company announced it would be moving a healthcare-focused subsidiary, DeepMind Health, into the main arm of the organisation.The restructure, critics argue, breaks a pledge DeepMind made when it started working with the NHS that “data will never be connected to Google accounts or services”. The change has also resulted in the dismantling of an independent review board, created to oversee the company’s work with the healthcare sector, with Google arguing that the board was too focused on Britain to provide effective oversight for a newly global body.”

Source : Google ‘betrays patient trust’ with DeepMind Health move | Technology | The Guardian

Tom Insel and Paul Dagum

“A startup founded in Palo Alto, California, by a trio of doctors, including the former director of the US National Institute of Mental Health, is trying to prove that our obsession with the technology in our pockets can help treat some of today’s most intractable medical problems: depression, schizophrenia, bipolar disorder, post-traumatic stress disorder, and substance abuse. Mindstrong Health is using a smartphone app to collect measures of people’s cognition and emotional health as indicated by how they use their phones. Once a patient installs Mindstrong’s app, it monitors things like the way the person types, taps, and scrolls while using other apps. This data is encrypted and analyzed remotely using machine learning, and the results are shared with the patient and the patient’s medical provider.”

Source : The smartphone app that can tell you’re depressed before you know it yourself – MIT Technology Review

Google LYNA

“In both datasets, LYNA was able to correctly distinguish a slide with metastatic cancer from a slide without cancer 99% of the time. Further, LYNA was able to accurately pinpoint the location of both cancers and other suspicious regions within each slide, some of which were too small to be consistently detected by pathologists. As such, we reasoned that one potential benefit of LYNA could be to highlight these areas of concern for pathologists to review and determine the final diagnosis.”

Source : Google AI Blog: Applying Deep Learning to Metastatic Breast Cancer Detection

“We don’t just want this to be an academically interesting result – we want it to be used in real treatment. So our paper also takes on one of the key barriers for AI in clinical practice: the “black box” problem. For most AI systems, it’s very hard to understand exactly why they make a recommendation. That’s a huge issue for clinicians and patients who need to understand the system’s reasoning, not just its output – the why as well as the what.
Our system takes a novel approach to this problem, combining two different neural networks with an easily interpretable representation between them. The first neural network, known as the segmentation network, analyses the OCT scan to provide a map of the different types of eye tissue and the features of disease it sees, such as haemorrhages, lesions, irregular fluid or other symptoms of eye disease. This map allows eyecare professionals to gain insight into the system’s “thinking.” The second network, known as the classification network, analyses this map to present clinicians with diagnoses and a referral recommendation. Crucially, the network expresses this recommendation as a percentage, allowing clinicians to assess the system’s confidence in its analysis”.

Source : A major milestone for the treatment of eye disease | DeepMind

«Le 11 février 2013, Madame W. fait des recherches sur Internet, et, par curiosité, tape ses nom et prénom sur le moteur de recherche Google. Elle voit s’afficher l’inscription « dossier enfant » avec son numéro de sécurité sociale. En cliquant sur ce résultat, elle arrive sur le site « http://www.dbsi.eu », qui comporte d’autres noms et prénoms précédés d’un numéro de sécurité sociale. ..Elle clique sur le sien, et découvre le dossier médical de son fils, Jean-François, prématuré né à l’hôpital Nord de Marseille, le 22 juin 2008. Elle constate qu’elle peut aussi accéder aux autres, et même les modifier ou les supprimer.Le lendemain matin, elle porte plainte contre l’hôpital, pour violation du secret professionnel».

Source : Elle tape son nom sur Internet et découvre le dossier médical de son enfant | SOS conso

Project Baseline

« The first initiative of Project Baseline is a study led by Verily, Duke University School of Medicine, Stanford Medicine, and Google. We are seeking around 10,000 people to represent different ages, backgrounds, and medical histories on behalf of humanity over four years. Starting in the US, if you are at least 18 years old ».

Source : Project Baseline

« Watson’s imaging technology has potential beyond heart disease including for breast cancer, for pulmonary and brain disease, and for ocular diseases like diabetic retinopathy. In the near future, IBM plans to expand Watson’s cardiovascular imaging work from AS to nine other cardiovascular conditions, including heart attacks, valve disorders, cardiomyopathy or disease of the heart muscle and deep vein thrombosis ».

Source : IBM Watson will diagnose heart disease when doctors may have missed it

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