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Xavier Amatriain
Cofounder/CTO at Curai
acm 2020, acronym, artificial intelligence 2020, attention, automatic summarization, automation, behavior, competition, computer science 2020, computer science event 2020, cure, deep learning, deep learning 2020, digital media, electronic health record, english language, error, experiment, expert, expert system, fever, goal, gpt-3, health, health insurance coverage in the united states, healthcare industry, hydroxychloroquine, information, internet, irony, kdd2020, knowledge, language, language model, machine learning, machine learning 2020, medical error, medical imaging, medical literature, medication, misinformation, online chat, pneumonia, pregnancy, question, radiology, reality, risk, robot, severe acute respiratory syndrome coronavirus 2, synthetic data, telehealth, understanding, vitamin, wikipedia
Daniel Jeffries
Author and futurist at SciFi
agriculture, ai, animal husbandry, artificial intelligence, artificialintelligence, astrazeneca, author, berlin, big data, blood vessel, breast cancer, british agricultural revolution, cancer, childbirth, cloud computing, conference, connectome, culture, deeplearning, fabian westerheide, food, future, garry kasparov, good and evil, homo, hospital, invention, joker (the dark knight), jupiter, ki, kubernetes , künstliche intelligenz, künstlicheintelligenz, linux, machine learning, machinelearning, microsoft, mind, mount everest, nick bostrom, nothing, operating system, planet, playstation, prediction, radiology, reality, rise of ai, rise of ai summit, riseofai, roai, robot, robotics, sciencefiction, self-driving car, simulation, software , solar system, superintelligence, tank, technological singularity, the imaginary invalid, thought, web development, world war iii, zukunft
Adrian Locher
Founder & CEO at Merantix
ai, artificial intelligence, automation, berlin, big data, business model, business-to-business, computer, engineering, fabian westerheide, imagenet, infrastructure, internet, investor, künstliche intelligenz, language, luck, machine learning, medical imaging, overqualification, radiology, research, rise of ai, rise of ai summit, sales, self-driving car, soft skills, startup company, steve jobs, sustainable business, technology, tensorflow
Cynthia Rudin
Professor at PI, Prediction Analysis Lab Duke University
ai 2021, air pollution, algorithm, analytics & data science, analytics summit 2021 usa, aneurysm, artificial intelligence, biopsy, brain, brain damage, breast cancer, causal inference, causality, computer, computer science, computer vision, counterfactual conditional, covariance, covariance and contravariance (computer science), cynthia rudin, data & analytics, data science, data science 2021, database, decision tree learning, decision-making, deep learning, dependent and independent variables, early stopping, electroencephalography, engineering, gradient boosting, health care, impact evaluation, information, instrumental variables estimation, intensive care medicine, interpretable machine learning, machine learning, mammography, mathematics, natural language processing, neurology, pain, pain management, prediction, propensity score matching, python virtual conference 2021, radiology, regression analysis, reliability (statistics), science, science research, scientific computing, scipy2021, self-driving car, software engineering, training, validation, and test sets, university of cincinnati
Swetha Revanur
Founding Engineer at Hebbia.AI
ai, artificial intelligence, computer science, convolutional neural network, data science conference 2020, data science tips, deep learning, diabetic retinopathy, education and research, healthcare, healthcare ai, hyperparameter optimization, intelligence, machine learning, magnetic resonance imaging, medical diagnosis, medical imaging, multiclass classification, natural language processing, pathology, radiology, retina, robotics, self-driving car, sensitivity and specificity, sensor, statistical classification, surveillance, training, validation, and test sets, turing test, understanding, wids 2020, wids mumbai 2020, wids worldwide, woman in data science , women in data science, women in technology
Bhawna Nigam
Advisor at Deepiotics Pvt. Ltd.
ai, artificial intelligence, computer science, convolutional neural network, data science conference 2020, data science tips, deep learning, diabetic retinopathy, education and research, healthcare, healthcare ai, hyperparameter optimization, intelligence, machine learning, magnetic resonance imaging, medical diagnosis, medical imaging, multiclass classification, natural language processing, pathology, radiology, retina, robotics, self-driving car, sensitivity and specificity, sensor, statistical classification, surveillance, training, validation, and test sets, turing test, understanding, wids 2020, wids mumbai 2020, wids worldwide, woman in data science , women in data science, women in technology
Kiran Mazumdar-Shaw
Executive Chairperson at Biocon Biologics
analytics, biological network, cancer, computational science, covid-19, ct scan, genome editing, in vitro, indian genomic databases, information, information privacy, information technology, innovation, knowledge, medical imaging, mind, operation warp speed, privacy, radiology, science, self-driving car, system, understanding, virus, x-ray
Marzyeh Ghassemi
Assistant Professor at University of Toronto
accuracy and precision, active learning, adolescence, adverse event, ai, algorithmic bias, almond, arctic monkeys, artificial intelligence, artificial intelligence in healthcare, artificial neural network, asthma, automation bias, average, bias, bias of an estimator, big data, big data in precision health, brain, bread, bronchitis, child, chronic condition, chronic obstructive pulmonary disease, clinical trial, clinician, computer vision, convolutional neural network, craigslist, data mining, data quality, dialysis, disease, ecology, electronic health record, emergency department, end-of-life care, epidemiology, ethics, experience, expert, fairness (machine learning), false positives and false negatives, fei-fei li, funny people, generative model, gianni versace, gold standard (test), gregory house, hawaii, health, health care, health system, hospital, imagenet, inductive reasoning, informatics, information, informed consent, intelligence, intensive care unit, interdisciplinarity, internal medicine, learning, lexus, logistic regression, long short-term memory, lyme disease, machine learning, marzyeh ghassemi, matrix (mathematics), medical diagnosis, medical privacy, medical record, medicine, mental disorder, mental health, natural language processing, neural network, new york (state), oneonta, new york, palliative care, patient, pediatrics, positive and negative predictive values, precedent, precision health, precision medicine, prediction, privacy, property, radiology, rain, random forest, randomized controlled trial, receiver operating characteristic, recurrent neural network, refrigerant, research, respiratory disease, risk, robotics, science, self-report study, sensitivity and specificity, sepsis, silence, smartphone, stanford, stanford medicine, statistics, subset, supervised learning, surgery, synthetic data, system, technology, temecula, california, toronto, type i and type ii errors, understanding, university of toronto, use case, wheeze, youtube
Ankur Teredesai
Professor at University of Washington
accuracy and precision, acm 2020, algorithmic bias, artificial intelligence 2020, artificial intelligence in healthcare, artificial neural network, assessment of kidney function, association for computing machinery, asthma, automation bias, bias, bias of an estimator, bronchitis, chronic condition, chronic obstructive pulmonary disease, clinical psychology, clinical trial, comorbidity, computer science, computer science event 2020, dialysis, disparate impact, electronic health record, emergency department, entropy (information theory), fairness (machine learning), generalized entropy index, health economics, health system, hospital readmission, income inequality metrics, information theory, intensive care unit, k-nearest neighbors algorithm, logistic regression, machine learning, mental health, psychological evaluation, radiology, random forest, respiratory disease, robotics, sampling (statistics), sensitivity and specificity, statistical classification, statistics, supervised learning, therapy, wheeze
Rich Caruana
Principal Researcher at Microsoft
accuracy and precision, algorithmic bias, artificial intelligence in healthcare, artificial neural network, asthma, automation bias, bias of an estimator, bronchitis, chronic condition, chronic obstructive pulmonary disease, clinical trial, dialysis, electronic health record, emergency department, fairness (machine learning), health system, logistic regression, machine learning, radiology, random forest, respiratory disease, robotics, supervised learning, wheeze
Akshay Chaudhari
Assistant Professor at Stanford University
applications of artificial intelligence, cardiac magnetic resonance imaging, computer vision, data compression, deep learning, digital health, federated learning, fourier analysis, image registration, image resolution, image scanner, image segmentation, joint replacement, machine learning, magnetic resonance imaging, massachusetts general hospital, medical imaging, mind, natural language processing, osteoarthritis, physics, radiology, scientific method, statistical inference
Russell Stewart
Vice President at Nines
chemotherapy, clinical trial, cloud computing, ct scan, food and drug administration, healthcare, image scanner, innovation, medical device, medical prescription, medical test, medicare (united states), medicines and healthcare products regulatory agency, melanoma, pharmacy, public health, radiology, real world evidence, safety, screening (medicine), training, validation, and test sets, triage, ucl neuroscience, user interface, virtual reality
David Larson
VP & CTO of Cloudless Initiative at Hewlett Packard Enterprise
best practice, chemotherapy, clinical trial, cloud computing, cloudless , communication, component-based software engineering, computer security, ct scan, design, devops, encryption, firewall (computing), food and drug administration, healthcare, hewlett packard enterprise, hewlett-packard, hypervisor, image scanner, innovation, internet, intrinsic security, it infrastructure, leadership, medical device, medical prescription, medical test, medicare (united states), medicines and healthcare products regulatory agency, melanoma, open-source software, open-source-software movement, pharmacy, proliant, public health, radiology, real world evidence, reason, safety, screening (medicine), security, server (computing), services, software , software development, system, training, validation, and test sets, triage, ucl neuroscience, user interface, virtual reality, vmware, workloads
M Khair ElZarrad
Acting Director at FDA
chemotherapy, clinical trial, cloud computing, ct scan, food and drug administration, healthcare, image scanner, innovation, medical device, medical prescription, medical test, medicare (united states), medicines and healthcare products regulatory agency, melanoma, pharmacy, public health, radiology, real world evidence, safety, screening (medicine), training, validation, and test sets, triage, ucl neuroscience, user interface, virtual reality
Hugh Harvey
Managing Director at Hardian Health
chemotherapy, clinical trial, cloud computing, ct scan, food and drug administration, healthcare, image scanner, innovation, medical device, medical prescription, medical test, medicare (united states), medicines and healthcare products regulatory agency, melanoma, pharmacy, public health, radiology, real world evidence, safety, screening (medicine), training, validation, and test sets, triage, ucl neuroscience, user interface, virtual reality
Judy Gichoya
Assistant Professor at Fogarty International Center at NIH
big data, case study, chronic condition, clinical machine learning, computer science, computer vision, consciousness, covid-19 pandemic, crowdsourcing, decision-making, deep learning, depression (mood), economic inequality, expert, feeling, fourth industrial revolution, general practitioner, google brain, headache, health, health care, health care in the united states, health system, industrial revolution, institutional racism, internet, knowledge, loneliness, machine learning, massive open online course, medical record, mental health, meta-analysis, nursing, palliative care, physician, radiology, simulation, social distancing, software , software bug, speech recognition, surgery, system dynamics, visualization (graphics), wisdom of the crowd
Andrew Ng
Founder and C.E.O. at Landing.ai
accuracy and precision, active learning, ai, amazon, analogy, artificial intelligence, artificial neural network, aws, aws machine learning summit, aws ml summit, big data, blockchain, cloud computing, compiler, computer, computer science, computer vision, covid-19 pandemic, credit score, data science, deep learning, depression (mood), education, engineer, feeling, fireside chat, fourth industrial revolution, google brain, health, industrial revolution, information, innovation, institute, intel, internet, investment, knowledge, leadership, loneliness, machine learning, macroeconomics, massive open online course, medical record, mental health, microsoft, milken, mind, money, natural language processing, nursing, nvidia, palliative care, price–earnings ratio, privacy, productivity, progress, radiology, research, robot, self-driving car, social distancing, software , software development, speech recognition, startup company, statistics, switch, system, training, use case, valuation (finance)
Daphne Koller
CEO & Founder at Insitro
100% renewable energy, accountability, ai drug discovery, ai in healthcare, alzheimer's disease, amazon web services, aorta, arrhythmia, artery, artificial general intelligence, autism, aws, aws cloud, biobank, biological data, biology, biopsy, branches of science, breast cancer, cancer, cancer cell, carbon footprint, carbon offset, cell potency, chromosome, clinical machine intelligence, clinical trial, cloud, cloud computing, cluster analysis, common carotid artery, competitive advantage, computer, computer performance, computer vision, computing, coursera, crispr, crispr gene editing, daphne koller, deep learning, deep learning in medicine, digital literacy, digital pathology, dna sequencing, doctor–patient relationship, drug development, drug development ml, drug development with ai, economic development, education, eric schmidt, eric topol, flow cytometry, gene, genetics, genome, genome editing, genome-wide association study, genomics, genotype, globalization, greenhouse gas, health care, healthcare, heart, high throughput biology, high-throughput screening, human genetic variation, human genetics, human genome, human health, image scanner, innovation, insitro, internet, kernel (operating system), keynote, law, lifelong learning, literacy, liver, low-carbon economy, machine learning, machine learning in medicine, magnetic resonance imaging, medical ai, medical imaging, medical ultrasound, medication, medtech, mental health, mikoyan mig-29, mind, ml in drug discovery, model organism, molecular biology, monday night live, moore's law, multiclass classification, mutation, network performance, nvlink, operating system, organoid, packet loss, paris agreement, pathology, peter desantos, phenotype, phenotypic trait, physics, polygene, populism, prescription drug, privacy, protein, quantitative research, radiology, re-work, reality, reason, reinvent, renewable energy commercialization, retina, re•work, robotics, scalability, science, scripps research, single-nucleotide polymorphism, stanford university, statistical classification, statistics, steve hilton, supercomputer, technology, training, validation, and test sets, transmission control protocol, transparency (behavior), uk biobank, understanding, urinary tract infection, virtualization, wild type, witchcraft, world summit a, world summit ai americas, zero-energy building
Sharon Zhou
PhD student at Stanford University
aorta, arrhythmia, artery, biobank, biopsy, clinical machine intelligence, clinical trial, common carotid artery, computing, doctor–patient relationship, eric topol, heart, image scanner, liver, machine learning, magnetic resonance imaging, medical imaging, medical ultrasound, mental health, prescription drug, radiology, retina, scripps research, urinary tract infection
Bhavik Patel
Diagnostic Radiologist at Mayo Clinic
aorta, arrhythmia, artery, biobank, biopsy, clinical machine intelligence, clinical trial, common carotid artery, computing, doctor–patient relationship, eric topol, heart, image scanner, liver, machine learning, magnetic resonance imaging, medical imaging, medical ultrasound, mental health, prescription drug, radiology, retina, scripps research, urinary tract infection
Eric Topol
Physician-Scientist, Author, Editor at The Scripps Research Institute
aorta, arrhythmia, artery, biobank, biopsy, clinical machine intelligence, clinical trial, common carotid artery, computing, doctor–patient relationship, eric topol, heart, image scanner, liver, machine learning, magnetic resonance imaging, medical imaging, medical ultrasound, mental health, prescription drug, radiology, retina, scripps research, urinary tract infection
David Yang
CEO, Co-Founder at Yva.ai
analytics, big data, brain, employee engagment, employee retention, employment, evidence, happiness, health, hrtech, human resources conferences 2020, intelligence, interview screening, lax techrecruit 2020, leadership, learning organization, magnetic resonance imaging, microsoft, occupational burnout, office 365, productivity, question, radiology, reason, recruitment, stress (biology), talentacquisition, techrecruit 2020, techrecruiting, turnover (employment), understanding, well-being, workforce planning, workforceplanning
Ravi Ramaswamy
Chief Executive Officer at RV Consultants
ageing, ai, ai in mumbai, analytics, artificial intelligence, artificialintelligence, automation, big data, bigdata, business, childbirth, chronic condition, code, coding, ct scan, data, datascience, deeplearning, entrepreneur, fintech, fintechs, future, futureofwork, going global, health, health care, health system, hospital, hospital readmission, india, information technology, infrastructure, innovation, intensive care medicine, intensive care unit, iot, machinelearning, ml, mumbai, mumbai ai, nursing, personalized medicine, prediction, prescriptive analytics, programmer, programming, python, radiology, robotics, science, startup, startups, surgery, tech, tech enthusiast, technology, telehealth, therapy, transitional care, womenintech
Taha Kass-Hout
Director, Machine Learning & Chief Medical Officer at Amazon Web Services (AWS)
adherence (medicine), amazon elastic compute cloud, caregiver, clinical trial, cloud computing, computer vision, coronavirus disease 2019, dave vellante, decision-making, deep learning, diabetes, digital health, digitization, disease, electronic health record, encryption, expert, forecasting, health care, health informatics, health system, health technology, hospital readmission, interoperability, john furrier, machine learning, medical diagnosis, medical history, medical record, neural network, observation, optical character recognition, pay for performance (healthcare), point of care, population health, prediction, predictive analytics, privacy, radiology, risk, science, siliconangle, siliconangle inc, siliconangle media inc, telehealth, thecube, therapy, use case, wearable technology, wikibon
Peter Szolovits
Professor at MIT
active learning, almond, average, bias, disease, gold standard (test), inductive reasoning, information, learning, property, radiology, refrigerant, use case
Tzu Ming Harry Hsu
Deep Learning Engineer at Digital Drift Co
active learning, almond, average, bias, disease, gold standard (test), inductive reasoning, information, learning, property, radiology, refrigerant, use case
Matthew McDermott
PhD Student at Massachusetts Institute of Technology
active learning, almond, average, bias, disease, gold standard (test), inductive reasoning, information, learning, property, radiology, refrigerant, use case
Harpreet Sood
General Practitioner and Clinical Advisor at NHS
artificial intelligence, belief, big data, breast cancer, cancer, communication, computer science, conversation, data ethics, data science, digital health, direct-to-consumer advertising, electronic health record, federal food, drug, and cosmetic act, food and drug administration, gaara, health system, information, innovation, machine learning, mastectomy, medical device, medical imaging, medical specialty, medicine, national health service, radiology, screening (medicine), sensitivity and specificity, simulation, the alan turing institute, turing
Hitesh Thakrar
Partner at Syncona Limited
artificial intelligence, belief, big data, breast cancer, cancer, communication, computer science, conversation, data ethics, data science, digital health, direct-to-consumer advertising, electronic health record, federal food, drug, and cosmetic act, food and drug administration, gaara, health system, information, innovation, machine learning, mastectomy, medical device, medical imaging, medical specialty, medicine, national health service, radiology, screening (medicine), sensitivity and specificity, simulation, the alan turing institute, turing
Vishal Gulati
Investor/Board Member at Healthtech VC
amazon alexa, angel investor, artificial intelligence, artificial intelligence in healthcare, belief, big data, breast cancer, business incubator, cancer, communication, community, computer science, conversation, convertible bond, data ethics, data science, digital health, direct-to-consumer advertising, economics, electronic health record, entrepreneurship, federal food, drug, and cosmetic act, finance, financial crisis, food and drug administration, fundraising, future, gaara, health, health care, health system, impact investing, information, innovation, investment, machine learning, mastectomy, medical device, medical imaging, medical specialty, medicine, mental health, national health service, patient, private equity, radiology, resource, risk, screening (medicine), sensitivity and specificity, simulation, startup company, the alan turing institute, turing, venture capital
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