Health behaviors before, during and after pregnancy can have lasting effects on maternal and infant health outcomes. Although digital health interventions (DHIs) have potential as a pertinent avenue to deliver mechanisms for a healthy behavior change, its success is reliant on addressing the user...
Explore the key features patients prioritize in healthcare apps, enhancing their access to personalized care and empowering their health management journey.
In recent years, the rise of semaglutide as a favored option for weight management has highlighted a crucial aspect of modern healthcare—accessibility. As the demand for this medication grows, the challenge is not just in prescribing it, but in ensuring that it is administered effectively and...
This rapidly growing field marries bioinformatics and pharmacology and represents a transformative new era of precision medicine and highly personalized treatments.
New research highlights how artificial intelligence is being used to help manage and find new treatments for erectile dysfunction.In a review published in the journal of UroPrecision, researchers from the University of Texas McGovern Medical School reveal how artificial intelligence (AI) is setting...
Background: Distress is highly prevalent among patients with cancer, but supportive care needs often go unmet. Digital therapeutics hold the potential to overcome barriers in cancer care and improve health outcomes.
A comprehensive study published in The Lancet Digital Health analyzed the efficacy and challenges of AI in clinical settings, revealing a critical need for real-world testing and diverse research methodologies to ensure AI's reliable integration into healthcare.
The widespread adoption of telehealth, catalyzed by the pandemic, reshaped the way medical services are delivered across the U.S.||In 2024, the landscape of healthcare underwent a profound transformation, marking it as the Year of Digital Health & Wellness.
As people age, their brains do, too. But if a brain ages prematurely, there is potential for age-related diseases such as mild cognitive impairment, dementia, or Parkinson's disease. If "brain age" could be easily calculated, then premature brain aging could be addressed before serious health...
A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages.
Large language models (LLMs) are approaching expert-level knowledge and reasoning skills in ophthalmology, according to a study published online April 17 in PLO...
Digital transformation of healthcare not only requires investments in digital technology, but also in digital health literacy. This must be coordinated across three critical levels: individual, institutional and policy-making.
Efficient triaging and referral assessments are critical in ensuring prompt medical intervention in the community healthcare (CHC) system. However, the existing triaging systems in many community health services are an intensive, time-consuming process and often lack accuracy, particularly for...
Explore the three data-driven management approaches – data-driven, insights-driven, and value-driven – that shape the future of decision-making. Discover the benefits, challenges, and how to integrate them for sustainable growth and innovation.
Background: While large language models (LLMs) such as ChatGPT and Google Bard have shown significant promise in various fields, their broader impact on enhancing patient health care access and quality, particularly in specialized domains such as oral health, requires comprehensive evaluation.
Grand Round presentation at University Hospitals Cleveland Medical Center and Case Western Reserve University School of Medicine, Department of Medicine on "Improving Diagnosis in Primary Care: Identifying Best Practices for Value-Based Care" by Goutham Rao, MD
Researchers demonstrated the model's excellent performance, raising hopes that it can someday prove a valuable tool for reducing such events in hospitalized patients.
Not a day goes by these days without some AI-related news: a technological breakthrough here, an important advance there… AI is omnipresent! The AI phenomenon extends beyond the social media hype. That's because AI algorithms can process data quickly and make informed decisions in real time.
A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages.
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