Translation of predictive modeling and AI into clinics: a question of trust

Eur Radiol. 2021 Apr 25. doi: 10.1007/s00330-021-07977-9. Online ahead of print.NO ABSTRACTPMID:33895859 | DOI:10.1007/s00330-021-07977-9

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Personalized Clinical Phenotyping through Systems Medicine and Artificial Intelligence

J Pers Med. 2021 Apr 2;11(4):265. doi: 10.3390/jpm11040265.ABSTRACTPersonalized Medicine (PM) has shifted the traditional top-down approach to medicine based on the identification of single etiological factors to explain diseases, which was not suitable for explaining complex conditions. The concept of PM assumes several interpretations in the literature, with particular regards to …

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Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review

Int J Environ Res Public Health. 2021 Apr 23;18(9):4499. doi: 10.3390/ijerph18094499.ABSTRACTArtificial Intelligence (AI) and Machine Learning (ML) have expanded their utilization in different fields of medicine. During the SARS-CoV-2 outbreak, AI and ML were also applied for the evaluation and/or implementation of public health interventions aimed to flatten the epidemiological …

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MIT launches new data privacy-focused initiative

Strategic use of data is vital for progress in science, commerce, and even politics, but at the same time, citizens are demanding more responsible, respectful use of personal data. Internet users have never felt more helpless about how their data are being used: Surveys show that the vast majority of …

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Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence

Not so long ago, watching a movie on a smartphone seemed impossible. Vivienne Sze was a graduate student at MIT at the time, in the mid 2000s, and she was drawn to the challenge of compressing video to keep image quality high without draining the phone’s battery. The solution …

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Who does the model learn from?

Lancet Digit Health. 2021 May;3(5):e275-e276. doi: 10.1016/S2589-7500(21)00057-1. Epub 2021 Apr 12.NO ABSTRACTPMID:33858816 | DOI:10.1016/S2589-7500(21)00057-1

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Leveraging conversational technology to answer common COVID-19 questions

Author Names: McKillop M.,South B.R.,Preininger A.,Mason M.,Jackson G.P. Database Source: Embase Journal Title: Journal of the American Medical Informatics Association : JAMIA Article Title: Leveraging conversational technology to answer common COVID-19 questions Year: 2021 Issue: 4 Volume: 28 Abstract: The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) …

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Enhancing trust in AI through industry self-governance

J Am Med Inform Assoc. 2021 Apr 25:ocab065. doi: 10.1093/jamia/ocab065. Online ahead of print.ABSTRACTArtificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solutions to effectively address current health challenges. However, there have been prior periods of enthusiasm for …

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What makes AI 'intelligent' and 'caring'? Exploring affect and relationality across three sites of intelligence and care

Soc Sci Med. 2021 Mar 23;277:113874. doi: 10.1016/j.socscimed.2021.113874. Online ahead of print.ABSTRACTThis paper scrutinises how AI and robotic technologies are transforming the relationships between people and machines in new affective, embodied and relational ways. Through investigating what it means to exist as human 'in relation' to AI across health and …

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Kidney cancer management 3.0: can artificial intelligence make us better?

Curr Opin Urol. 2021 Apr 20. doi: 10.1097/MOU.0000000000000881. Online ahead of print.ABSTRACTPURPOSE OF REVIEW: Artificial intelligence holds tremendous potential for disrupting clinical medicine. Here we review the current role of artificial intelligence in the kidney cancer space.RECENT FINDINGS: Machine learning and deep learning algorithms have been developed using information extracted …

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Development and evaluation of radiotherapy deep learning dose prediction models for breast cancer

Phys Imaging Radiat Oncol. 2021 Jan 30;17:65-70. doi: 10.1016/j.phro.2021.01.006. eCollection 2021 Jan.ABSTRACTBACKGROUND AND PURPOSE: Treatment planning of radiotherapy is a time-consuming and planner dependent process that can be automated by dose prediction models. The purpose of this study was to evaluate the performance of two machine learning models for breast …

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Is artificial intelligence ready to replace expert endoscopists?

Endoscopy. 2021 May;53(5):478-479. doi: 10.1055/a-1308-2121. Epub 2021 Apr 22.NO ABSTRACTPMID:33887778 | DOI:10.1055/a-1308-2121

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A Machine Learning Decision Support System (DSS) for Neuroendocrine Tumor Patients Treated with Somatostatin Analog (SSA) Therapy

Diagnostics (Basel). 2021 Apr 28;11(5):804. doi: 10.3390/diagnostics11050804.ABSTRACTThe application of machine learning (ML) techniques could facilitate the identification of predictive biomarkers of somatostatin analog (SSA) efficacy in patients with neuroendocrine tumors (NETs). We collected data from 74 patients with a pancreatic or gastrointestinal NET who received SSA as first-line therapy. We developed three …

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Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images

Cancers (Basel). 2021 Apr 25;13(9):2074. doi: 10.3390/cancers13092074.ABSTRACTIn this study, we developed the Binary ImaGe Colon Metastasis classifier (BIg-CoMet), a semi-guided approach for the stratification of colon cancer patients into two risk groups for the occurrence of distant metastasis, using an InceptionResNetV2-based deep learning model trained on binary images. We enrolled 291 …

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In pt. 2 of #RBCDisruptors' creativity series, @StackhouseJohn + @TrinhTheresaDo dig deeper into how we can maximize our #creative output as individuals, companies + as a country 💥 Listen in: bit.ly/3t48RST

In pt. 2 of #RBCDisruptors' creativity series, @StackhouseJohn + @TrinhTheresaDo dig deeper into how we can maximize our #creative output as individuals, companies + as a country 💥Listen in: bit.ly/3t48RST

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Notable gaps in bone health education were observed in cancer patients at risk for SREs indicating an important need for improved communication and education strategies to promote better health outcomes. dovepress.com/assessment-of-…

Notable gaps in bone health education were observed in cancer patients at risk for SREs indicating an important need for improved communication and education strategies to promote better health outcomes. dovepress.com/assessment-of-…

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Québec.AI retweeted: Le Canada suit les traces de l’Europe en intelligence artificielle : ledevoir.com/economie/59940… @Montreal_AI

Québec.AI retweeted: Le Canada suit les traces de l’Europe en intelligence artificielle : ledevoir.com/economie/59940… @Montreal_AI

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Québec.AI retweeted: Today our machine learning and distributed computing teams, along with Google Brain, are releasing Launchpad, a system for building distributed machine learning algorithms. Visit dpmd.ai/launchpad for the code, examples, and some distributed RL agents!

Québec.AI retweeted: Today our machine learning and distributed computing teams, along with Google Brain, are releasing Launchpad, a system for building distributed machine learning algorithms. Visit dpmd.ai/launchpad for the code, examples, and some distributed RL agents!

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Québec.AI retweeted: 🌐Examen par les États membres de l'@UNESCO du projet de Recommandation sur l’éthique de l’IA En ouverture, @jocelynmaclure, complétant la position canadienne, a exprimé au nom du Québec l'importance du développement éthique de l’IA, fondé sur le respect des droits et libertés.

Québec.AI retweeted: 🌐Examen par les États membres de l'@UNESCO du projet de Recommandation sur l’éthique de l’IAEn ouverture, @jocelynmaclure, complétant la position canadienne, a exprimé au nom du Québec l'importance du développement éthique de l’IA, fondé sur le respect des …

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Québec.AI retweeted: We are excited to have Dr. Esther Duflo (economics.mit.edu/faculty/eduflo) give an invited talk at #ICML21. Dr. Duflo, an Economics Professor at MIT and a Nobel Laureate, will talk about the role of data science in understanding / addressing global social economic issues.

Québec.AI retweeted: We are excited to have Dr. Esther Duflo (economics.mit.edu/faculty/eduflo) give an invited talk at #ICML21. Dr. Duflo, an Economics Professor at MIT and a Nobel Laureate, will talk about the role of data science in understanding / addressing global social economic issues.

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Facebook claims that its new artificial intelligence can predict the way drugs interact with each other inside cells quicker than existing methods, enabling speedier discovery of new drug combinations to treat illnesses like cancer Read more: newscientist.com/article/227487…

Facebook claims that its new artificial intelligence can predict the way drugs interact with each other inside cells quicker than existing methods, enabling speedier discovery of new drug combinations to treat illnesses like cancerRead more: newscientist.com/article/227487…

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Montréal International retweeted: “L’écosystème technologique québécois et ses acteurs sont en avance, notamment sur les enjeux relatifs à l’IA et au Big Data.” Bienvenue @Klanik_ @HudonIsabelle @FP_Champagne @melaniejoly @mboisvert_dg @MinFitzgibbon @NadineGirault @rouleauchantal @HubertBolduc twitter.com/mtlintl/status…

Montréal International retweeted: “L’écosystème technologique québécois et ses acteurs sont en avance, notamment sur les enjeux relatifs à l’IA et au Big Data.”Bienvenue @Klanik_ @HudonIsabelle @FP_Champagne @melaniejoly @mboisvert_dg @MinFitzgibbon @NadineGirault @rouleauchantal @HubertBolduc twitter.com/mtlintl/status…

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Montréal International retweeted: Le Grand #Montreal est reconnu comme l’une des capitales mondiales de la créativité! Vous oeuvrez dans le domaine des #jeuxvidéo, des #VFX ou de l'#animation? Vous retrouverez dans notre métropole pas moins de 235 (😲 ) studios pour faire évoluer votre carrière! #MTLcreative twitter.com/MTLINTL/status…

Montréal International retweeted: Le Grand #Montreal est reconnu comme l’une des capitales mondiales de la créativité!Vous oeuvrez dans le domaine des #jeuxvidéo, des #VFX ou de l'#animation? Vous retrouverez dans notre métropole pas moins de 235 (😲 ) studios pour faire évoluer votre carrière! #MTLcreative …

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Alexandria in Microsoft Viva Topics: from big data to big knowledge

Project Alexandria is a research project within Microsoft Research Cambridge dedicated to discovering entities, or topics of information, and their associated properties from unstructured documents. This research lab has studied knowledge mining research for over a decade, using the probabilistic programming framework Infer.NET. Project Alexandria was established seven years …

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L’intelligence artificielle est-elle prête à comprendre les émotions humaines ?

Froncer les sourcils est-il, forcément, systématique de colère ? Christopher Campbell / Unsplash, CC BY-SAL’intelligence artificielle (IA) regroupe toutes les techniques informatiques complexes capables de simuler certains traits de l’intelligence humaine (calcul, raisonnement, reconnaissance d’objets…). Ces dernières années, une capacité à la fois essentielle et …

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Réglementation européenne de l’IA : un projet en phase avec les attentes des jeunes

Les jeunes restent réticents à une utilisation de l’IA pour évaluer des aspects personnels, tels que l’expression du visage, lors d’entretiens d’embauche. ShutterstockLa Commission européenne vient de proposer de nouvelles règles et un plan d’action en faveur de l’excellence et de la …

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Science portrait - Julie Grollier, la physicienne qui crée des neurones artificiels

Cette chercheuse intuitive est une pionnière de l’informatique neuromorphique visant à développer des composants électroniques qui, comme notre cerveau, feraient cohabiter calcul et mémoire.

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Maximising the use of data in the digital transformation of healthcare

The efficient utilisation of data brings about a plethora of benefits both to healthcare providers and patients alike, ranging from the lowering of healthcare ...

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As patient-provider experience gets more interconnected, new security strategies needed

... Healthcare IT News interviewed Aarti Borkar, vice president of IBM Security. ... Are healthcare organizations able to securely manage the rising ... With more people turning to telemedicine services and digital health ... the benefits of applying automation and AI within their security systems in order to ...

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'Hold yourself accountable' on keeping AI unbiased, or the FTC might do it for you

"As your company launches into the new world of artificial intelligence, keep your ... AI has the potential to advance innovation in the healthcare industry. But, as Jillson (and others) points out, tools are only as unbiased as the ... addressing inequity must address foundational issues in the health industry.

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How to help C-suite leaders and clinicians trust artificial intelligence

Many health IT decision-makers and clinicians are cynical about the potential for artificial intelligence solutions to improve healthcare, ... Healthcare IT News decided to dig into the trust factor of AI by interviewing Punit Soni, ... One of the benefits of AI and machine learning technologies is that they are ...

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