From reviewing medical scans to preparing clinical notes, technology is becoming more involved in everyday medical work.
Across hospitals and clinics, artificial intelligence in healthcare is helping medical teams review patient information and identify findings that may require attention. Some tools examine medical images, while others prepare consultation notes or monitor patients after discharge.
According to the American Medical Association, 38% of physicians used AI in 2023. In 2024, this figure increased to 66%. In most cases, these systems provide additional information for healthcare professionals to review before making a clinical decision.
In medical imaging, software can examine scans and highlight findings that may require a specialist’s review.
A large study found that AI-supported mammography detected 20% more breast cancers than the standard process of having mammograms reviewed by two radiologists.
It also reduced the screen-reading workload of radiologists by 44% (The Lancet Oncology).
The radiologist still reviews the scan and makes the clinical decision. Used this way, AI in patient care provides information that may help specialists identify findings sooner.
AI documentation tools can efficiently draft consultation notes for a doctor to review. Research involving six healthcare systems found that ambient AI scribes reduced documentation burden and helped clinicians focus on patients (JAMA Network Open).
A survey found that 75% of physicians using AI experienced less administrative work and improved job satisfaction. In the same survey, 69% believed the technology had contributed to better care and outcomes.
More time for patients is among the practical benefits of AI in healthcare reported by physicians (Doximity, 2026).
Connected devices can record blood pressure, heart rate or oxygen levels after discharge. Software can alert the care team when it detects a concerning change.
Healthcare records are not always complete or consistent. Some patient groups may also be poorly represented in training datasets.
This matters in oncology, where decisions may involve pathology reports, scans and treatment histories. Within these records, predictive analytics in healthcare can identify patterns linked to risk or outcomes, but the findings still require clinical review.
One oncology study found that 80.2% of patients were comfortable with AI being used for cancer screening. However, it was observed that the same comfort fell to 61.5% when it was used for prognosis (PubMed Central).
Mango Sciences’ Querent™ platform analyses electronic health records, pathology notes and treatment histories. It helps research teams identify oncology patients who may meet the requirements of a clinical trial. Each suggested match is clinically reviewed before being shared with a sponsor. It also provides information about patient availability, hospital readiness and possible recruitment delays.
Querent™ focuses on patients in emerging markets, where many populations remain underrepresented in oncology research. Better use of their clinical data can improve trial access and support evidence that reflects a wider range of cancer patients. Further information is available on Mango Sciences.
AI can support doctors by reviewing information and completing defined tasks. Medical professionals still interpret the results, consider the patient’s condition and make the final clinical decision.
It can help analyse medical images and organise complex clinical information. It may also support patient monitoring, research and the identification of suitable candidates for clinical trials.
Safety depends on the privacy, security and data-governance controls used by the platform. Healthcare organisations must assess these safeguards before allowing a system to process patient information.
Querent™ reviews clinical records to find oncology patients who may meet a trial’s requirements. The Mango Sciences clinical team reviews each suggested match before it is shared with a sponsor.
This article is for educational purposes only and does not replace medical advice. Treatment decisions should always be made in consultation with a qualified oncologist.