the United States’s
ai in healthcare industry,
in focus.

Challenges in Computer‑Aided Diagnosis

50.0% of this theme group

Researchers highlight limitations of current detection and diagnosis systems for CT colonography and related imaging.

Computer-aided diagnosis (5) · Medical physics (2)

Evaluation of computer-aided detection and diagnosis systems^a)

Current concepts in computer-aided detection for ct colonography

Segmentation and Diagnosis Difficulties

21.4% of this theme group

Papers point out obstacles in segmenting images and diagnosing pulmonary nodules with existing AI tools.

Segmentation (2) · Computer-aided diagnosis (3)

How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules

Lung CT Image Classification using Deep Neural Networks for Lung Cancer Detection

Safety Concerns in Breast Imaging

53.3% of this theme group

Authors urge careful validation of CAD performance for digital mammography and breast cancer detection.

Mammography (7) · Breast cancer (7) · Digital mammography (2) · Computer-aided diagnosis (3)

Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment

Article Commentary: Computer-Aided Detection of Breast Cancer — Have All Bases Been Covered?

Risks in Colonoscopy CAD Use

26.7% of this theme group

Studies caution against over‑reliance on AI for colonoscopy interpretation and highlight potential diagnostic gaps.

Colonoscopy (3) · Computer-aided diagnosis (3)

Computer-aided diagnosis for colonoscopy

Impact of Original and Artificially Improved Artificial Intelligence–based Computer-aided Diagnosis on Breast US Interpretation

Advanced Breast Imaging Techniques

23.5% of this theme group

Work explores deep‑learning models for mammography, MRI, and ultrasound to improve breast cancer classification.

Mammography (42) · Breast cancer (28) · Pattern recognition (62) · Breast MRI (12)

Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosi

Presentation of Novel Architecture for Diagnosis and Identifying Breast Cancer Location Based on Ultrasound Images Using Machine Learning

Radiology Workflow Enhancements

22.9% of this theme group

Papers propose AI‑driven tools to streamline diagnosis of renal function and other radiology tasks.

Computer-aided diagnosis (80) · Renal function (7) · Radiology (17) · Workflow (7)

A Computer Aided Diagnosis System in Mammography Using Artificial Neural Networks

Medical imaging and computers in the diagnosis of breast cancer

Lung Nodule Detection Innovations

18.8% of this theme group

Research focuses on novel features and networks to boost CT‑based pulmonary nodule classification.

Nodule (25) · Lung cancer (16) · Lung (9) · Computer-aided diagnosis (40)

Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features

Lung Nodule Diagnosis on 3D Computed Tomography Images Using Deep Convolutional Neural Networks

General Pattern‑Recognition Advances

17.6% of this theme group

Studies develop CNN‑based segmentation and feature extraction methods for diverse medical imaging applications.

Pattern recognition (65) · Segmentation (37) · Convolutional neural network (26) · Feature extraction (14)

Brain Tumor Classification via Statistical Features and Back-Propagation Neural Network

Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images

False‑Positive Reduction Strategies

7.7% of this theme group

Works aim to lower spurious detections in breast and colon imaging through refined algorithms.

False positive paradox (40) · Computer-aided diagnosis (16) · Software (3) · Nodule (7)

Computer-Aided Tumor Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images

Improved False Positive Reduction by Novel Morphological Features for Computer-Aided Polyp Detection in CT Colonography

Virtual Colonoscopy Enhancements

4.9% of this theme group

Papers introduce sophisticated CAD schemes to improve polyp detection in CT colonography.

Virtual colonoscopy (9) · Computer-aided diagnosis (13) · Colonoscopy (3) · Partial volume (2)

CT colonography: Advanced computer‐aided detection scheme utilizing MTANNs for detection of “missed” polyps in a multicenter clinical trial

Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward

Prostate Cancer Imaging Progress

4.7% of this theme group

Research presents 3D CNN approaches for grading and early diagnosis of prostate lesions.

Prostate cancer (17) · Prostate (4) · Effective diffusion coefficient (3) · Grading (3)

Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks

A new CNN-based system for early diagnosis of prostate cancer

San Francisco

31.2% across the displayed hubs

25 companies hiring · $5.3B disclosed funding

New York City

23.3% across the displayed hubs

14 companies hiring · $3.2B disclosed funding

Boston

11.0% across the displayed hubs

4 companies hiring · $1.5B disclosed funding

Cambridge

9.2% across the displayed hubs

8 companies hiring · $3.9B disclosed funding

Los Angeles

6.8% across the displayed hubs

2 companies hiring · $279.9M disclosed funding

San Diego

6.4% across the displayed hubs

2 companies hiring · $390.3M disclosed funding

Palo Alto

6.2% across the displayed hubs

6 companies hiring · $607.8M disclosed funding

Seattle

5.9% across the displayed hubs

1 companies hiring · $290.3M disclosed funding