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Medical specialty
Browse evidence-based clinical topics covering diagnosis, treatment, patient management, clinical guidelines, case studies, therapeutic decision-making, and advances across medical and surgical specialties.
Published coverage
8
articles available in this specialty
Featured in Clinical Medicine
Artificial intelligence is being used to identify drug targets, screen compounds, design new molecules, predict toxicity and support clinical development. This guide explains how AI drug discovery works, what generative AI can do, current clinical evidence, limitations and FDA and EMA guidance in 2026.
Most read
The FDA maintains a growing list of artificial intelligence-enabled medical devices authorized for marketing in the United States. This guide explains what the FDA list means, the difference between clearance, authorization and approval, selected 2026 devices, major clinical uses and how AI medical-device regulation is evolving.
Learn how artificial intelligence supports X-rays, CT, MRI, ultrasound and cancer screening, including its potential benefits, limitations, safety risks and FDA oversight.
Agentic AI can go beyond generating answers by planning steps, using tools and carrying out approved actions across healthcare workflows. This guide explains how healthcare AI agents work, current uses, emerging evidence, safety risks, human oversight and the evolving regulatory picture in 2026.
Generative AI is moving into clinical documentation, patient communication, medical research and decision-support workflows. This guide explains how it is being used in healthcare, where the risks remain, and how regulators in the United States, United Kingdom and Canada are responding in 2026.
AI medical scribes can listen during clinical consultations and turn conversations into draft medical notes, letters and other documentation. This guide explains how ambient AI scribes work, what current research shows, their potential benefits and risks, patient privacy and consent, and how their use is evolving in the United States and NHS.
Digital twins are patient-specific computational models that can be updated with real health data and used to simulate possible future outcomes. This guide explains how healthcare digital twins work, where they are being studied, current evidence in diabetes, cardiology, oncology and clinical trials, and the limitations, privacy risks and regulatory questions clinicians and patients should understand.
Latest coverage
AI clinical decision support can help clinicians interpret patient information, estimate risk, consider diagnoses and review treatment options. This guide explains how AI-powered CDS works, what 2026 clinical studies show, its benefits and risks, and how FDA regulation distinguishes certain non-device decision support from regulated medical-device software.
Digital twins are patient-specific computational models that can be updated with real health data and used to simulate possible future outcomes. This guide explains how healthcare digital twins work, where they are being studied, current evidence in diabetes, cardiology, oncology and clinical trials, and the limitations, privacy risks and regulatory questions clinicians and patients should understand.
Agentic AI can go beyond generating answers by planning steps, using tools and carrying out approved actions across healthcare workflows. This guide explains how healthcare AI agents work, current uses, emerging evidence, safety risks, human oversight and the evolving regulatory picture in 2026.
AI medical scribes can listen during clinical consultations and turn conversations into draft medical notes, letters and other documentation. This guide explains how ambient AI scribes work, what current research shows, their potential benefits and risks, patient privacy and consent, and how their use is evolving in the United States and NHS.
The FDA maintains a growing list of artificial intelligence-enabled medical devices authorized for marketing in the United States. This guide explains what the FDA list means, the difference between clearance, authorization and approval, selected 2026 devices, major clinical uses and how AI medical-device regulation is evolving.
Generative AI is moving into clinical documentation, patient communication, medical research and decision-support workflows. This guide explains how it is being used in healthcare, where the risks remain, and how regulators in the United States, United Kingdom and Canada are responding in 2026.
Learn how artificial intelligence supports X-rays, CT, MRI, ultrasound and cancer screening, including its potential benefits, limitations, safety risks and FDA oversight.
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