Accurate prognostication guides optimal clinical management in skin cancer. Merkel cell carcinoma (MCC) is the most aggressive form of skin cancer that often presents in advanced stages and is associated with poor survival rates….
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Current National Health Crisis The CDC’s January 2024 update indicates widespread respiratory infections across the United States, based on emergency department diagnosis patterns and wastewater analysis.
State-by-State Impact Analysis Eleven states, including Arizona, Florida, and…
How Texas Children’s Hospital Revolutionized Medication Management
The $40 Million Challenge
Texas Children’s Hospital, Houston’s premier pediatric health system, faced a staggering challenge with their $440 million annual medication budget. Their pharmacy team uncovered an alarming…
Groundbreaking Study Results
An international multicenter analysis has revealed remarkable outcomes for patients receiving CyberKnife radiosurgery (SRS) and fractionated stereotactic radiotherapy (FSRT) for brainstem metastases. The study, published in the International Journal of Cancer, demonstrates…
Circular, maker of smart ring technology, announced its next-generation wearable, the Ring 2, which includes ECG capability with its FDA-cleared AFib detection algorithm that provides real-time heart health data to wearers. The titanium Ring 2…
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Unnecessary preoperative testing poses a risk to patient safety, causes surgical delays, and increases healthcare costs. We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic…
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Lotte, one of South Korea’s biggest conglomerates, is liquidating its digital healthcare business this year.Late in December, the company decided in a shareholders’ meeting to close Lotte Healthcare, which it opened in April 2022 with…
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Autonomous artificial intelligence (AI) for pediatric diabetic retinal disease (DRD) screening has demonstrated safety, effectiveness, and the potential to enhance health equity and clinician productivity. We examined the cost-effectiveness of an autonomous AI strategy…
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Deep learning analysis of electrocardiography (ECG) may predict cardiovascular outcomes. We present a novel multi-task deep learning model, the ECG-MACE, which predicts the one-year first-ever major adverse cardiovascular events (MACE) using 2,821,889 standard 12-lead…
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Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previous studies only learn from training data, posing…
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