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Paradigm-Shifting Clinical Practice: A Comprehensive Review on Diagnostic and Therapeutic Innovations Driven by Artificial Intelligence

2026·0 Zitationen·Zenodo (CERN European Organization for Nuclear Research)Open Access
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0

Zitationen

3

Autoren

2026

Jahr

Abstract

Artificial intelligence is changing the way we do things in medicine fast. It is no longer an idea that people are trying out. Now it is actually changing the way we take care of patients. This review looks at how artificial intelligence’s changing healthcare.[1] It is looking at how artificial intelligence’s making diagnoses more accurate, helping doctors make better decisions about treatment and making sure patients get the care they need. The review is paying attention to the new things we have learned about machine learning, deep learning and using data to make decisions. These new things are helping us find diseases early, understand what medical images are showing us predict what might happen to patients and create treatment plans that’re just right for each patient. Artificial intelligence is really good, at helping us with these things. The article looks at how artificial intelligence’s being used in different areas of medicine such as radiology, pathology, oncology, cardiology and drug development. It shows how artificial intelligence can help make care better and reduce mistakes.[2] The article also talks about some problems that are coming up like making sure the data is good being honest, about how the algorithms work, being responsible and getting doctors and machines to work together. Artificial intelligence is not meant to replace doctors and nurses. This article presents artificial intelligence as a supportive tool that assists doctors and nurses in their clinical work rather than replacing them. It helps healthcare professionals make informed, evidence-based decisions by analyzing complex medical data and highlighting meaningful patterns. By bringing together recent research and clinical practice, the review shows how artificial intelligence is gradually shifting healthcare from a reactive approach to one that is more predictive and precision-driven. The insights aim to encourage the responsible and thoughtful use of artificial intelligence, ensuring that technology strengthens clinical judgment and ultimately improves patient care.

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Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareCOVID-19 diagnosis using AI
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