Tag: AI in medicine
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AI-Guided Sperm Recovery Leads to Pregnancy at Columbia
Breakthrough: AI-Guided Sperm Recovery Enables Pregnancy Columbia University’s Fertility Center has announced a landmark achievement in reproductive medicine: the first successful pregnancy resulting from an AI-guided sperm recovery method designed to help men with azoospermia, a condition where ejaculation contains little or no sperm. This milestone showcases how artificial intelligence can intersect with advanced clinical…
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AI-Guided Sperm Recovery Enables First Successful Pregnancy for Azoospermia
Groundbreaking AI-Driven Approach Addresses Azoospermia In a milestone for reproductive medicine, researchers at the Columbia University Fertility Center announced the first known pregnancy achieved using an AI-guided method to recover sperm in men with azoospermia. Azoospermia, where ejaculate contains little or no sperm, has long posed a barrier to natural conception and standard assisted reproductive…
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AI-Guided Sperm Recovery Ushers in First Successful Pregnancy for Azoospermia
Groundbreaking AI Approach Redefines Azoospermia Treatment In a landmark development for male infertility, researchers at the Columbia University Fertility Center have announced the first successful pregnancy achieved with an AI-guided method to recover sperm from men diagnosed with azoospermia, a condition where semen contains little or no sperm. The approach leverages artificial intelligence to identify…
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Columbia Develops AI-Guided Sperm Recovery for Pregnancy
Groundbreaking milestone at the Columbia University Fertility Center Researchers at the Columbia University Fertility Center have announced a landmark achievement: the first reported pregnancy achieved with an AI-guided method to recover sperm in men affected by azoospermia, a condition characterized by an ejaculate containing little or no sperm. The breakthrough marks a significant step forward…
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Columbia Unveils AI-Guided Sperm Recovery Achieving Pregnancy in Azoospermia Case
Groundbreaking Achievement in Fertility Medicine Researchers at the Columbia University Fertility Center have announced a landmark milestone: the first reported pregnancy achieved through an AI-guided method to recover sperm in men with azoospermia, a condition where ejaculate contains little or no sperm. This development could reshape the options available to couples facing infertility linked to…
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How Large Language Models Aid Diagnosis of Rare Hematologic Diseases and Influence Physician Decision-Making
Introduction: Leveraging AI to tackle rare hematologic diseases Rare diseases pose substantial diagnostic challenges due to their low prevalence, diverse presentations, and often multisystem involvement. This study investigates how large language models (LLMs), especially new-generation transformers with chain-of-thought (CoT) capabilities, perform in diagnosing rare hematologic diseases and how their outputs shape physician decision-making in real-world…
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AI in Rare Hematologic Diagnosis: How Large Language Models Perform and Shape Physician Decision-Making
Overview Advances in large language models (LLMs) are reshaping how clinicians approach rare hematologic diseases. A combined retrospective and prospective study from a Chinese medical center evaluated the diagnostic performance of seven publicly available LLMs—some with chain-of-thought (CoT) capabilities—using deidentified admission records. The study also tested whether presenting the models’ outputs to physicians could improve…
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Unpacking the black box of AI: Explainable AI in cancer detection with Dr. Sakib Mostafa
Understanding the black box: why explainable AI matters Artificial intelligence has advanced rapidly, but one of its most consequential challenges remains the so-called “black box” problem. Dr. Sakib Mostafa, a Bangladeshi-Canadian researcher, frames this not as a sci‑fi nightmare but as a practical hurdle: the results that AI models produce can be correct yet inexplicable.…
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AI, Omics, and Systems Biology: A New Era for Heart Drug Discovery
Reinventing Heart Drug Discovery with AI and Omics Cardiovascular disease (CVD) remains the world’s leading cause of death, despite decades of medical advances. A new perspective from Brigham and Women’s Hospital and Harvard Medical School argues that the future of heart drug development lies in an integrated, data-driven framework. By combining artificial intelligence (AI), omics…
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AI helps Ont. researcher discover breakthrough antibiotic treatment for bowel disease
Ontario researchers leverage AI to advance Crohn’s and IBD treatment In a notable example of how artificial intelligence is accelerating medical progress, a McMaster University team, in collaboration with researchers from the Massachusetts Institute of Technology, has used AI to identify a promising new antibiotic treatment for Crohn’s disease and inflammatory bowel disease (IBD). The…