Hacker News

APRIL 7, 2023

I care deeply about privacy, and as a professional researcher, I take meticulous notes. During my recent maternity leave, I spent most of my hands-free time trying to figure out why my doctors were trying to give my medical data away to advertisers — even after I opted out. Read the rest…

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Data Science Dojo

MAY 7, 2024

For instance, a small language model trained exclusively on medical data could potentially surpass a general-purpose large model in understanding medical jargon and delivering accurate diagnoses. This can transform user experiences, offering more responsive and personalized AI interactions directly on their devices.

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Chatbots Life

MAY 23, 2024

Thanks to the advancements in Artificial Intelligence (AI), machine learning algorithms, and Natural Language Processing (NLP), speech recognition has become more sophisticated and efficient in the medical industry. Productivity Speech recognition technology has made medical professionals more productive.

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Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 85

Hacker News

SEPTEMBER 7, 2023

Medical artificial intelligence (AI) has tremendous potential to advance healthcare by supporting and contributing to the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving both healthcare provider and patient experience. The MedPerf project presented by Karargyris et al.

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Towards AI

JANUARY 4, 2024

Let's see how we can handle it The tutorial starts in the middle of the article — so if you want to jump over the intro- Please jump over to the tutorial here- Cheers Text anonymization plays a crucial role in safeguarding sensitive healthcare information, addressing the growing concern of privacy and confidentiality in the digital era.

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Data Science Dojo

DECEMBER 6, 2023

Privacy Concerns: GPT-4 Vision’s ability to identify individuals and locations in images raises serious privacy issues. This poses a challenge for companies to balance innovation with adherence to privacy laws and ethical practices. However, this technology comes with responsibilities.

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Dataconomy

SEPTEMBER 19, 2023

This stark disparity underscores a critical need for public education and awareness regarding the ethical dimensions, data privacy concerns, and potential biases associated with AI. It promises to elevate patient outcomes, enhance diagnostic accuracy, and reshape medical practices.

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IBM Journey to AI blog

MAY 9, 2024

When healthcare organizations excel at this, it can lead to better clinical decision-making, improved patient outcomes and prevention of medical errors. For example: Healthcare providers regularly rely on medical records to diagnose and establish treatment plans for patients. Despite this, many healthcare organizations face challenges.

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Data Governance Data Silos Data Quality Predictive Analytics 67

AWS Machine Learning Blog

MARCH 15, 2024

Doctors and medical staff need quick and accurate image diagnosis to evaluate a patient’s condition and propose treatment options. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Stroke victims can lose around 1.9

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DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. This post introduces the U.S. You can meet the U.K.

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Dataconomy

JUNE 8, 2023

From virtual assistants like Siri and Alexa to marketing chatbots, self-driving Teslas, and advanced language models like ChatGPT, AI technologies have seamlessly integrated into our routines, and now it is aiming for the revolution in medical practices and patient care.

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Heartbeat

NOVEMBER 27, 2023

Medical image analysis involves extracting valuable information from various imaging modalities like X-rays, CT scans, MRI, ultrasound, and PET scans. Deep learning automates and improves medical picture analysis. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Smart Data Collective

AUGUST 11, 2021

Medical device companies are highly vulnerable to cyberattacks. AI and Big Data Are Crucial to Cybersecurity in the Medical Field. Modern artificial intelligence technology is undeniably revolutionizing the medical field. Cyber attackers often target the medical field. Why Is Medical Device Security Important?

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FlowingData

JULY 18, 2022

Kendra Albert, Maggie Delano, and Emma Weil discuss data privacy for those who track their periods : In their investigation, police try to find evidence that someone intended to miscarry, or was otherwise endangering the viability of their pregnancy. Tags: period , privacy. Given the current restrictions in the U.S.,

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Data Science Dojo

DECEMBER 6, 2023

Privacy Concerns: GPT-4 Vision’s ability to identify individuals and locations in images raises serious privacy issues. This poses a challenge for companies to balance innovation with adherence to privacy laws and ethical practices. However, this technology comes with responsibilities.

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Data Science Dojo

DECEMBER 6, 2023

Privacy Concerns: GPT-4 Vision’s ability to identify individuals and locations in images raises serious privacy issues. This poses a challenge for companies to balance innovation with adherence to privacy laws and ethical practices. However, this technology comes with responsibilities.

Natural Language Processing 195

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Dataconomy

FEBRUARY 26, 2024

Researchers are leveraging this strength to train AI algorithms on vast datasets of medical information, including brain scans, cognitive tests, and genetic data. Imagine a future where AI can help doctors sift through mountains of complex medical data, identifying subtle patterns that humans might miss.

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Dataconomy

MAY 22, 2024

This technology, while offering incredible potential, also presents challenges such as privacy concerns, bias, accountability, and the risk of misinformation. AI models are being used to create synthetic medical data to train other AI systems, enhancing diagnostic accuracy without compromising patient privacy.

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Google Research AI blog

APRIL 26, 2023

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow , single-task systems that require large quantities of labeled data to train.

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Data Science Dojo

MARCH 31, 2023

For example, it can be used to design new products, optimize manufacturing processes, and analyze medical images. She has a checklist of principles that she follows, such as fairness, reliability, safety, privacy and security, inclusiveness, accountability, and transparency, which are industry standards developed by tech companies.

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Data Science Connect

JULY 23, 2023

This technology has seen rapid advancements in recent years, leading to breakthroughs in various domains, including creative industries, medical research, and natural language processing. The move comes amid growing concerns about the potential misuse of generative AI, such as deepfakes, misinformation dissemination, and privacy violations.

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IBM Journey to AI blog

OCTOBER 9, 2023

Unified endpoint management (UEM) and medical device risk management concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.

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AssemblyAI

NOVEMBER 30, 2023

Using real-time transcription, medical providers can use the tool to automatically transcribe each patient conversation as it takes place, allowing them to focus on the patient rather than taking notes.  For technical jargon, such as medical terminology, some AI models have a custom vocabulary feature.

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Data Science Connect

JULY 28, 2023

Data Security and Privacy Data engineers implement robust security measures to protect sensitive IoT data from unauthorized access and potential cyber-attacks. Ensuring data privacy is paramount to build trust among users and stakeholders.

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Flipboard

MAY 16, 2023

Rather, he says, the tech — which is consumer-facing — is aimed at use cases like explaining benefits and billing, providing dietary advice and medication reminders, answering pre-op questions, onboarding patients and delivering “negative” test results that indicate nothing’s wrong.

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ML @ CMU

MAY 12, 2023

TL;DR: We study the use of differential privacy in personalized, cross-silo federated learning ( NeurIPS’22 ), explain how these insights led us to develop a 1st place solution in the US/UK Privacy-Enhancing Technologies (PETs) Prize Challenge , and share challenges and lessons learned along the way. In Part 1.1,

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Data Science Dojo

OCTOBER 9, 2023

Privacy: No need to collect personal information. Ethical concerns, including privacy preservation and the inadvertent introduction of biases, demand meticulous attention when both generating and utilizing synthetic data. In the field of medical diagnosis, synthetic data can train models to identify various diseases accurately.

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DeepMind

OCTOBER 18, 2023

Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. To ensure these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may pose.In

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DagsHub

MARCH 21, 2024

Daghub's Impact Implementing Dagshub brought transformative changes to Forcura's data handling processes: Streamlined Data Annotation : Dagshub's tools expedited the annotation process by 300%, enhancing the efficiency of medical document handling. Their primary challenges included: Data inconsistencies from non-standardized documentation.

Data Engineering 69

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Dataconomy

FEBRUARY 28, 2024

Privacy invasion: Sensitive personal information, when exposed, can lead to privacy invasion, with individuals potentially experiencing harassment or blackmail. Reputational damage: The leak of personal data, especially sensitive information like medical records or private communications, can damage an individual’s reputation.

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ODSC - Open Data Science

FEBRUARY 8, 2023

Called the European Cancer Imaging Initiative, the EU Commission claims it will maintain the highest standards in ethics, trust, privacy protection, and security. Their statement went into detail saying: “ A cross-border, interoperable, and secure infrastructure that will preserve privacy will speed up innovation in medical research.

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Dataconomy

SEPTEMBER 11, 2023

Medical device data Medical device data refers to the data collected by patient vital signs, treatment outcomes, and device performance sensors in medical devices. This data can help healthcare providers monitor patient health, optimize treatment plans, and improve medical device design and functionality.

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Data Science Dojo

DECEMBER 10, 2023

The first category includes AI systems used in products that come under the EU’s product safety legislation, which encompasses fields as diverse as toys, aviation, cars, and medical devices. This allows transparency into the mechanism of training AI models as well as ensuring users’ data rights and privacy.

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Smart Data Collective

SEPTEMBER 13, 2023

Wearable health monitors can tell them when your next medical appointment is. If such data is collected and shared between IoT technology that lacks proper encryption and strict privacy settings but also isn’t continually updated to a safer version, stalkers and cybercriminals can exploit them to learn more about their victims.

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Internet of Things 93

Tableau

DECEMBER 1, 2022

Every day, patients place their trust in healthcare providers, payers, and other medical professionals to help safeguard their health information, including as required by the Health Insurance Portability and Accountability Act (HIPAA). HIPAA is a U.S. It empowers the U.S. HIPAA has three main pillars: .

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Chatbots Life

APRIL 27, 2024

Not only does this help health practitioners, but it also alerts patients in case of serious medical conditions. This can be recalled whenever necessary to help healthcare practitioners keep track of patient health, and understand a patient’s medical history, prescriptions, tests ordered, and so much more. The workflow is quite simple.

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Tableau

DECEMBER 1, 2022

Every day, patients place their trust in healthcare providers, payers, and other medical professionals to help safeguard their health information, including as required by the Health Insurance Portability and Accountability Act (HIPAA). HIPAA is a U.S. It empowers the U.S. HIPAA has three main pillars: .

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Tableau Analytics Analytics 97