
Natural Doesn’t Always Mean Better – How to Deal with the Appeal to Nature in the Doctor’s Office
"Herbs rather than chemicals." Doctors are hearing similar statements more and more often. This attitude reflects the so-called appeal to nature – a logical fallacy based on the assumption that natural means better and safer. In academic literature, this type of thinking is more broadly referred to as the naturalistic fallacy. Such reasoning significantly influences not only patients’ decisions but often also those of healthcare professionals themselves.
Night Shifts May Pose a Higher Risk of Asthma for Women
Shift work can be physically and mentally demanding for employees, often taking a toll on their health. Researchers in the United Kingdom set out to investigate how this type of work affects women—specifically, they explored the potential link between shift work and the development of asthma.
Virtual Reality Helps Detect Autism Earlier and More Accurately Than Traditional Methods
Combining virtual reality and artificial intelligence (AI) may transform the future of autism spectrum disorder (ASD) diagnosis. A new system developed by Spanish researchers demonstrates that modern technologies can capture subtle signs of autism more quickly and reliably than traditional diagnostic methods.
AI Can Also Lie to Cancer Patients. How Should Doctors Respond?
AI-powered chatbots, unlike physicians, are always available and at first glance offer valuable answers to the swirling questions of cancer patients. However, they can lead patients into a labyrinth of misinformation. How can an oncologist guide a patient out without damaging the fragile trust between them?
How Can AI Improve Lung Cancer Detection Directly in GP Clinics?
Artificial intelligence (AI) could significantly aid earlier detection of lung cancer, directly within general practitioners' (GP) offices. Researchers from Amsterdam UMC have developed an algorithm that can identify the risk of lung cancer based on standard primary care documentation up to four months earlier than current methods. A study published in the British Journal of General Practice shows that AI can streamline early diagnosis without the need for complex screening.
New Technology Accelerates and Improves the Accuracy of Coronary Stent Healing Analysis
Artificial intelligence (AI) is helping doctors assess how coronary stents heal after implantation more quickly and accurately. The new algorithm, DeepNeo, enables automated interpretation of optical coherence tomography (OCT) images with accuracy comparable to that of a human expert. This technology saves time, enhances standardization, and paves the way for personalized care in cardiology.
What Are the New Possibilities for Using CAR-T Cell Therapies
There has been a major breakthrough in cancer treatment recently. A new type of gene therapy, known as CAR-T cell therapy, has been introduced into clinical practice. The first of these therapies were approved in 2017 for the treatment of B-cell acute lymphoblastic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and primary mediastinal large B-cell lymphoma. Since then, a number of new CAR-T therapies have been introduced to the global market, all targeting hematological malignancies. However, current research shows that the…
How Are Smart Wearable Devices Shaping the Future of Medicine?
The integration of artificial intelligence (AI) into wearable medical devices and their incorporation into the Internet of Medical Things (IoMT) infrastructure is transforming healthcare. Current research suggests that AI-powered smart devices enable more accurate diagnostics, faster responses to acute conditions, reduced healthcare system burden, and improved treatment outcomes for patients with chronic diseases.

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How to Align Heart and Mind: The Brain of Lovers in Action

How to Align Heart and Mind: The Brain of Lovers in Action

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How Compassion Fatigue Threatens Doctors and Other Healthcare Workers

Good, Bad, or Ugly? What's the Deal with Eggs?

Women who changed medicine: Groundbreaking discoveries even without a Nobel Prize

Women Who Changed Medicine: 13 Nobel Prize Laureates
