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Margaretta Colangelo’s Journalist Portfolio

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AI Model Identifies Sudden Cardiac Death Risk More Accurately Than Current Clinical Tests

AI Model Identifies Sudden Cardiac Death Risk More Accurately Than Current Clinical Tests

LinkedIn — Scientists at UC Berkeley have developed an AI model that identifies sudden cardiac death risk from standard electrocardiograms more accurately than current clinical tests. The hidden predictor of sudden cardiac death was uncovered by deep learning.

Midjourney Wants To Do A Billion Full Body Scans A Month. Will You Get One?

Midjourney Wants To Do A Billion Full Body Scans A Month. Will You Get One?

LinkedIn — Last week Midjourney, the generative AI art company, announced that they are building a full-body ultrasonic scanner. Midjourney is known for creating highly detailed, artistic images from natural language text prompts.

Recap of My Lecture at Ansbach University of Applied Sciences in Germany June 2026

Recap of My Lecture at Ansbach University of Applied Sciences in Germany June 2026

LinkedIn — This morning I gave a lecture about AI in Healthcare at Hochschule Ansbach - Ansbach University of Applied Sciences in Bavaria, Germany. Hochschule Ansbach is a modern, future-oriented university and a significant educational hub known for applied research and development, technology transfer, and i

LUMIN: A Longitudinal Multi-Modal Knowledge Decomposition Network To Predict Breast Cancer Recurr...

LUMIN: A Longitudinal Multi-Modal Knowledge Decomposition Network To Predict Breast Cancer Recurr...

LinkedIn — Please join us this Friday, June 5th for a talk entitled "LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence" presented by Tianyu Zhang, PhD, from the Netherlands Cancer Institute and Radboud University Medical Centre. This talk is hosted by the

FDA Approves First AI-Powered Imaging Device For Use During Breast Cancer Surgery

FDA Approves First AI-Powered Imaging Device For Use During Breast Cancer Surgery

LinkedIn — My recent report analyzing the FDA's list of 1,430 authorized AI-enabled medical devices, confirmed that AI-enabled medical devices are overwhelmingly radiology and overwhelmingly 510(k). There are only 17 pre-market approval (PMA) devices on the list, and most are legacy hardware running pre-deep-l

AI Detects Pancreatic Cancer 3 Years Before Diagnosis In Landmark Study

AI Detects Pancreatic Cancer 3 Years Before Diagnosis In Landmark Study

LinkedIn — A new AI framework developed by Ajit Goenka MD and colleagues at Mayo Clinic helps doctors detect pancreatic cancer on routine abdominal CT scans up to 3 years before clinical diagnosis. A validation study detailing this research entitled "Next-generation AI for visually occult pancreatic cancer det

Aidoc Raises $150 Million In Series E Led By Goldman Sachs

Aidoc Raises $150 Million In Series E Led By Goldman Sachs

LinkedIn — Yesterday Aidoc announced $150 million in Series E funding led by Goldman Sachs with participation from General Catalyst, SoftBank Investment Advisors and NVentures (NVIDIA's venture capital arm) bringing total funding to more than $500 million. This funding is a major milestone for enterprise-scale

Federated Prediction For Scaleable and Privacy-Preserved Knowledge-Based Planning in Radiotherapy

Federated Prediction For Scaleable and Privacy-Preserved Knowledge-Based Planning in Radiotherapy

LinkedIn — Please join us this Friday May 1st for a talk entitled "Federated Prediction For Scaleable and Privacy-Preserved Knowledge-Based Planning in Radiotherapy" presented by Yading Yuan, PhD, Associate Professor of Radiation Oncology at Columbia University Medical Center. This talk is hosted by the AI Pre

CAST: Causal Modeling of Time-Varying Treatment Effects on Head and Neck Cancer

CAST: Causal Modeling of Time-Varying Treatment Effects on Head and Neck Cancer

LinkedIn — Please join us on Friday April 10, 2026 for a talk entitled "CAST: Causal Modeling of Time-Varying Treatment Effects on Head and Neck Cancer" presented by Dr. Igor Shuryak, MD, PhD, Associate Professor of Radiation Oncology at the Center for Radiological Research at Columbia University Irving Medica

1430 FDA Authorized AI-Enabled Medical Devices

1430 FDA Authorized AI-Enabled Medical Devices

LinkedIn — Since 1995, the FDA has authorized over a thousand AI-enabled medical devices via 510(k) clearance, granted De Novo request, or approved PMA. This month the FDA published their updated list with 1430 authorized AI-enabled medical devices.

Ophthalmology AI: Insights From The Frontier

Ophthalmology AI: Insights From The Frontier

LinkedIn — In 2018, Ophthalmology became the first clinical specialty to have an autonomous AI system cleared by the FDA. The system, LumineticsCore, was developed by Digital Diagnostics.

The (lack of?) Science of Machine Learning For Healthcare

The (lack of?) Science of Machine Learning For Healthcare

LinkedIn — Please join us this Friday March 6th for a talk entitled "The (lack of?) Science of Machine Learning for Healthcare" presented by Matthew McDermott, PhD Assistant Professor of Biomedical Informatics at Columbia University. Dr.

Emoji Use Surges In Electronic Health Records

Emoji Use Surges In Electronic Health Records

LinkedIn — In a new exploratory study, David Hanauer MD, MS, and colleagues at University of Michigan, analyzed 218 million Electronic Health Records (EHR) to assess how emojis are used in medical records. They identified 372 distinct emojis in clinical notes and in messages sent to patients via the portal.

MedGemma Technical Report

MedGemma Technical Report

LinkedIn — Please join us this Friday, February 6th for a MedGemma Technical Report presented by Andrew Sellergren from Google. MedGemma is a collection of open-source, specialized AI models developed by Google DeepMind designed to accelerate the development of healthcare applications.

AI Detects 29% More Cancer In Largest Randomized Trial Of Medical AI

AI Detects 29% More Cancer In Largest Randomized Trial Of Medical AI

LinkedIn — Many studies demonstrate that AI can improve mammography screening by increasing cancer detection and reducing screen reading workload. However there have been very few studies showing AI's effect on interval cancers.

Scientists Who Adopt AI Publish 3x More Papers And Get 5x More Citations

Scientists Who Adopt AI Publish 3x More Papers And Get 5x More Citations

LinkedIn — New research published yesterday in Nature shows that AI is a career accelerator for individual scientists but narrows the collective scope of scientific inquiry. The study found that scientists who adopt AI publish 3x more papers, get 5x more citations, and become research project leaders 1.

NVIDIA & Lilly Invest $1 Billion In AI-Powered Drug Discovery Lab

NVIDIA & Lilly Invest $1 Billion In AI-Powered Drug Discovery Lab

LinkedIn — Today NVIDIA and Eli Lilly announced that they are investing $1 billion in an AI-powered drug discovery lab located in the heart of Silicon Valley. The companies plan to jointly invest $1 billion over 5 years to develop a new blueprint for drug discovery.

AI's Canary In The Coal Mine: How Silent Evaluations Are Critical To Ethical Translation

AI's Canary In The Coal Mine: How Silent Evaluations Are Critical To Ethical Translation

LinkedIn — Please join us this Friday, January 9th for a talk entitled "AI's 'canary in the coal mine': how silent evaluations are critical to ethical translation" presented by Dr. Melissa McCradden from Women's and Children's Health Network and the Australian Institute for Machine Learning.

AI Predicts Risk Of 130 Diseases From 1 Night Of Sleep

AI Predicts Risk Of 130 Diseases From 1 Night Of Sleep

LinkedIn — Although humans spend 1/3 of their lives sleeping, sleep has been underexplored with AI. Today AI researchers at Stanford University published a paper demonstrating how an AI model called SleepFM enables comprehensive disease prediction from sleep data.

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Lung Cancer Classification u...

Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Lung Cancer Classification u...

LinkedIn — Please join us tomorrow, Friday December 5th, for a talk entitled "Pretraining on Chronic Lung Inflammatory Disease Datasets to Enhance Indeterminate Lung Cancer Classification using Masked Autoencoders". This talk will be presented by Axel Masquelin, PhD from Brigham and Women's Hospital.

How Often Does Medical Advice From LLMs Harm Patients?

How Often Does Medical Advice From LLMs Harm Patients?

LinkedIn — LLMs are now routinely used by both doctors and patients for medical advice. 33% of doctors in the US report using LLMs and 20% consult LLMs for second opinions.

Shareable AI To Extract Cancer Outcomes From EHRs For Precision Oncology Research

Shareable AI To Extract Cancer Outcomes From EHRs For Precision Oncology Research

LinkedIn — Please join us this Friday November 7th for a talk entitled "Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research" presented by Dr. Kenneth Kehl from Dana-Farber Cancer Institute.

Highlights From The AI Diffusion Report 2025

Highlights From The AI Diffusion Report 2025

LinkedIn — This week the Microsoft AI Economy Institute released the AI Diffusion Report 2025. This report measures global usage of AI tools.

Only 17% of FDA-Authorized AI-Enabled Medical Devices Are Approved For Children

Only 17% of FDA-Authorized AI-Enabled Medical Devices Are Approved For Children

LinkedIn — The FDA has approved over 1247 AI-enabled medical devices. These devices help doctors across many specialties detect malign changes and provide highly accurate measurements of organs, bones, and blood flow.
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